The intern will be attached to the Fleet Digital section and will support the team in the following activities: 

• Extract and analyze sets of data from multiple sources and database for Harbour Launch, Tugs and Crew Deployment; develop and test hypothesis and communicate with section managers recommendations. 

• Identify and interpret trends or patterns in the collected data sets. 

• Detect anomalies, spot discrepancies and possible defects from our Fleet Management System 

• Produce insights on operations data using analytic tools (Python/Excel/Power BI) 

• Design, develop and maintain ongoing reports and dashboards. 

• Take in the lead in digitalization projects by working with key stakeholders within and outside of organization. 

• Perform any other ad-hocs duties as assigned. 

Preferred Skills

• Proficiency in Python Programming Language and Excel VBA 

• Experience in UI/UX designing and able to develop dashboard with data visualization tools (Example: Power BI and Tableau) 

• Analytical mindset driven to understand machinery and operation data 

• Strong organizational and problem-solving skills 

• Commitment to learning including new analytical methods and Harbour Craft profile 

• Ability to identify data-driven insights and trends from large data sets, keeping in mind of data quality and accuracy 

• Able to develop Robotics Process Automation (RPA) – UiPath would be a plus. 

Data Analytics

• Spearhead the design and execution of end-to-end data analytics strategies.
• Develop and manage automated data pipelines and ETL workflows.
• Perform data cleaning, preprocessing, and validation to maintain high data accuracy and integrity.
• Utilize advanced statistical and data mining techniques to analyze extensive healthcare datasets.
• Build and maintain interactive dashboards with user-friendly visualizations tailored for non-technical stakeholders.
• Deliver in-depth analytics to support clinical research and quality improvement projects, especially in areas like chronic disease management (e.g., diabetes, kidney disease, asthma).
• Create predictive models and deploy machine learning solutions, including large language models (LLMs).
• Collaborate with clinical teams to integrate Patient-Reported Outcome Measures (PROMs) into existing care processes.
• Work closely with GTO and AIO teams to improve data visibility and accessibility.
• Design and apply LLM-based solutions to streamline and optimize patient care pathways.

Data Quality & Monitoring

• Conduct regular validation to ensure the integrity and consistency of datasets.
• Detect and interpret key trends, patterns, and insights from healthcare data.
• Establish and maintain robust data quality assurance and validation protocols.
• Generate and present clear, data-driven reports and visualizations to stakeholders.
• Ensure all data visualizations are user-centric and accessible to non-technical users.
• Liaise with cross-functional teams to gather and address their specific data requirements.

Data Governance & Protection

• Implement stringent data security policies and access controls.
• Supervise data standardization and quality management initiatives.
• Ensure adherence to data privacy laws such as PDPA and HBRA.
• Develop secure protocols for safe data exchange and collaborative access.
• Promote ethical AI usage and ensure responsible deployment of LLM technologies.

Key Requirements

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Statistics)
• Minimum of 2 years’ experience in healthcare analytics or a similar field.
• Strong programming skills in Python, R, and SQL.
• Hands-on experience with data visualization platforms such as Tableau, Power BI, or TIBCO Spotfire.
• Proficiency with cloud analytics environments, especially Databricks.
• Solid foundation in statistical methods, including predictive modeling, A/B testing, and time-series analysis.
• Skilled in deploying and fine-tuning AI/ML models, including LLMs, within healthcare contexts.
• Experience working with cloud providers, particularly AWS.
• Familiarity with container technologies like Docker and Kubernetes.
• Experience using modern web frameworks such as Streamlit, NextJS, and TypeScript.
• Proficient in REST API development using frameworks like FastAPI.
• Understanding of database design, with hands-on experience using tools like SQLAlchemy.
• Capable of working with large and complex datasets.
• Proficient in using Git for version control and collaborative coding.
• Strong grasp of CI/CD pipelines and DevSecOps best practices.
• Knowledge of medical terminology and healthcare IT systems.
• Demonstrated ability to manage stakeholders and drive successful project outcomes.
• Excellent analytical thinking and problem-solving capabilities.
• Effective communicator with strong presentation, writing, and interpersonal skills.
• Highly detail-oriented, with a commitment to accurate data handling and analysis.
• Able to convert business challenges into technical data solutions.
• Team-oriented, proactive, and capable of thriving under time constraints.
• Comfortable working both independently and collaboratively in dynamic environments.

To apply, please visit www.gmprecruit.com

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Role Overview:

We are looking for a Data Engineer to support large-scale government and defence-related data projects, focusing on building secure, scalable, and reliable data platforms and ETL/ELT pipelines across cloud and enterprise environments.

Job Responsibilities:

Data Engineering & Platform Development

• Design and develop scalable and reliable data pipelines.
• Build enterprise data platforms, including data warehouses, data lakes, and lakehouses.
• Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standards.

ETL/ELT & Data Integration

• Lead ETL/ELT pipeline development, with Talend as a highly preferred platform.
• Integrate structured, semi-structured, and unstructured data sources.
• Implement and maintain data quality, validation, and error-handling frameworks.

Data Management & Governance

• Design and manage data storage solutions with a strong focus on object storage, data quality, and data governance.
• Implement and maintain data lifecycle management and cost-optimisation strategies.
• Ensure data lineage, traceability, and auditability.

Analytics & BI Enablement

• Engineer analytics-ready data models for reporting and self-service analytics.
• Enable BI dashboards, reports, and analytics through performant and governed data pipelines.

Security & Compliance

• Ensure compliance with government security and privacy requirements.
• Implement and maintain encryption, access controls, secure data handling practices, and system security policies.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum 3 years of experience in enterprise data engineering roles.
• Strong hands-on data engineering experience.
• Strong SQL and Python skills.
• Experience with ETL/ELT tools, with Talend highly preferred.
• Experience with data warehouses, data lakehouses, data lakes, and object storage systems.
• Qlik Sense Enterprise integration experience is highly preferred.
• Prior CAT 1 / G50 security clearance is required.
• Previous experience delivering MINDEF projects is required.

1. Position Summary

We are looking for a Data Engineer to join our team and contribute to a major project within the semiconductor manufacturing domain. The role involves designing and implementing data pipelines, managing Oracle-based data environments, and supporting end-to-end BI processes — from data ingestion to visualization. This position is based on-site at our partner’s advanced manufacturing facility, offering hands-on exposure to large-scale industrial data systems.

2. Key Responsibilities

• Design, develop, and maintain Python-based applications and APIs to extract, transform, and deliver data in JSON format.
• Design and create robust data models to support efficient querying and reporting.
• Define relationships, hierarchies, and calculated columns/measures that align with business logic.
• Design, develop, and maintain data pipelines and ETL workflows for manufacturing data (ERP, MES, SPC, FDC, etc.).
• Implement and optimize database logic, including stored procedures, functions, and PL/SQL scripts.
• Build and manage staging schemas, data validation processes, and data transformation logic.
• Develop and maintain data marts and dimensional models to support analytics and reporting.
• Collaborate with BI developers and analysts to deliver Power BI dashboards, KPI reports, and visual analytics.
• Ensure data accuracy, consistency, and completeness across multiple source systems.
• Support data governance, documentation, and performance tuning efforts.
• Partner with internal and external stakeholders to ensure timely and high-quality data delivery for business use.
• Perform any ad-hoc duties assigned by the Company as and when required.

3. Qualifications& Skills

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Minimum 3 years of experience in data engineering, data integration, or BI development.
• Proficient in Python programming, specifically for data extraction, API development, and JSON data manipulation.
• Strong understanding of data warehousing concepts, schema design, and ETL best practices.
• Solid working experience with relational databases (e.g. Oracle, SQL Server, MySQL, PostgreSQL), including stored procedures and query optimization.
• Proficient with ETL tools such as Pentaho Kettle, Informatica, Talend, or similar.
• Experience developing reports and dashboards in Power BI (or Tableau/Qlik).
• Familiarity with SQL pipelines, data validation, and data replication tools.
• Strong analytical and problem-solving mindset with attention to data quality and performance.
• Ability to work collaboratively with business, IT, and engineering teams in fast-paced environments.
• Excellent documentation and communication skills.

4. Preferred /Additional

• Experience in semiconductor or manufacturing systems (ERP, MES, SPC, FDC) preferred.
• Exposure to data replication frameworks (Oracle Golden Gate, SharePlex, AWS Glue) is an advantage.
• Experience developing custom Python applications/APIs for data extraction and familiarity with JSON data structures is highly preferred.
• Familiarity with cloud-based data warehouses (Snowflake, Redshift, Synapse) and Giga Report is a plus
• Knowledge of data governance frameworks, metadata management, and data security best practices.

Responsibilities

We are looking for a seasoned BAU Lead - Data Engineering to lead our data

operations and support function in a cloud-first environment. The ideal

candidate will bring strong technical leadership, hands-on expertise in AWS

and Snowflake, and proven experience in managing Business-As-Usual (BAU)

data platforms, production support, and continuous improvement initiatives.

▪ Develop tools to improve data flows between internal/external systems

and the data lake/warehouse.

▪ Work with stakeholders to understand needs for data structure, availability,

scalability, and accessibility.

▪ Build robust and reproducible data ingest pipelines to collect, clean,

harmonize, merge, and consolidate data sources.

▪ Understanding existing data applications and infrastructure architecture

▪ Build and support new data feeds for various Data Management layers and

Data Lakes

▪ Evaluate business needs and requirements.

▪ Support migration of existing data transformation jobs in Oracle, and MS[1]SQL to Snowflake.

▪ Lead the migration of the existing data transformation jobs in Oracle, Hive,

Impala etc. into Spark, Python on Glue etc.

▪ Able to document the processes and steps.

▪ Develop and maintain datasets.

▪ Improve data quality and efficiency.

▪ Lead Business requirements and deliver accordingly.

▪ Collaborate with Data Scientists, Architect and Team on several Data

Analytics projects.

▪ Collaborate with DevOps Engineer to improve system deployment and

monitoring process.

▪ Experience in critical production support and how the BAU functions is

preferred.

Requirements Key Skills:

▪ Lead a team of data engineers in managing day-to-day BAU operations,

production support, incident management, and platform stability.

▪ Strong AWS knowledge in terms of designing new architecture and

providing optimized solutions for existing ones. (S3, Glue, DMS, MWAA,

AMS, IAM).

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ Prefer prior Experience in BAU environment.

▪ Good knowledge on Airflow and MWAA.

▪ Hands-on experience in SQL/Python/Pyspark.

▪ Expertise in optimizing techniques in cloud environments.

▪ Should have the vision on data strategy and able to deliver the same.

▪ Should be able to lead the design and implementation of data management

processes, including data sourcing, integration, and transformation.

▪ Able to manage and lead a team of data professionals, providing guidance,

mentoring and foster a collaborative and innovative team culture focused on

continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and

platforms.

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ Should have experience in Implementing and enforcing data security

protocols and ensure compliance with relevant regulations.

Required Qualifications:

▪ At least 8+ years of Data Engineer Experience

▪ Bachelor qualification in a computer science or STEM (science, technology,

engineering, or mathematics) related field.

▪ At least 5+ years of recent hands-on professional experience (actively

coding) working as a Lead handling support & production issue.

▪ 2+ experience with large scale datasets, data lake and data warehouse

technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake

is highly preferred.

▪ At least 3+ years of experience in ETL (AWS Glue), Amazon S3, Amazon

RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step

Functions.

▪ Professional experience working in an agile, dynamic and customer-facing

environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is

highly preferred.

▪ Understanding of data streaming and scalable data processing is preferred

to have.

▪ Strong knowledge in scripting languages like SQL ,Python, UNIX shell and

Spark is required.

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations

etc.

▪ Technical expertise with data models, data mining and segmentation

techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development

methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment.

▪ Ability to communicate complex technology solutions to diverse teams

namely, technical, business and management teams

Soft Skills

▪ Ability to work in a collaborative environment and coach other team

members on coding practices, design principles, and implementation

patterns that lead to high quality maintainable solutions.

▪ Excellent communications and stake-holder management are required.

▪ Ability to handle senior leadership and report to them if required.

▪ Ability to work in a dynamic, agile environment within a geographically

distributed team.

▪ Ability to focus on promptly addressing customer needs.

▪ Ability to work within a diverse and inclusive team.

▪ Technically curious, self-motivated, versatile and solution-oriented

Responsibilities

We are looking for a seasoned BAU Lead - Data Engineering to lead our data

operations and support function in a cloud-first environment. The ideal

candidate will bring strong technical leadership, hands-on expertise in AWS

and Snowflake, and proven experience in managing Business-As-Usual (BAU)

data platforms, production support, and continuous improvement initiatives.

▪ Develop tools to improve data flows between internal/external systems

and the data lake/warehouse.

▪ Work with stakeholders to understand needs for data structure, availability,

scalability, and accessibility.

▪ Build robust and reproducible data ingest pipelines to collect, clean,

harmonize, merge, and consolidate data sources.

▪ Understanding existing data applications and infrastructure architecture

▪ Build and support new data feeds for various Data Management layers and

Data Lakes

▪ Evaluate business needs and requirements.

▪ Support migration of existing data transformation jobs in Oracle, and MS[1]SQL to Snowflake.

▪ Lead the migration of the existing data transformation jobs in Oracle, Hive,

Impala etc. into Spark, Python on Glue etc.

▪ Able to document the processes and steps.

▪ Develop and maintain datasets.

▪ Improve data quality and efficiency.

▪ Lead Business requirements and deliver accordingly.

▪ Collaborate with Data Scientists, Architect and Team on several Data

Analytics projects.

▪ Collaborate with DevOps Engineer to improve system deployment and

monitoring process.

▪ Experience in critical production support and how the BAU functions is

preferred.

Requirements Key Skills:

▪ Lead a team of data engineers in managing day-to-day BAU operations,

production support, incident management, and platform stability.

▪ Strong AWS knowledge in terms of designing new architecture and

providing optimized solutions for existing ones. (S3, Glue, DMS, MWAA,

AMS, IAM).

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ Prefer prior Experience in BAU environment.

▪ Good knowledge on Airflow and MWAA.

▪ Hands-on experience in SQL/Python/Pyspark.

▪ Expertise in optimizing techniques in cloud environments.

▪ Should have the vision on data strategy and able to deliver the same.

▪ Should be able to lead the design and implementation of data management

processes, including data sourcing, integration, and transformation.

▪ Able to manage and lead a team of data professionals, providing guidance,

mentoring and foster a collaborative and innovative team culture focused on

continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and

platforms.

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ Should have experience in Implementing and enforcing data security

protocols and ensure compliance with relevant regulations.

Required Qualifications:

▪ At least 8+ years of Data Engineer Experience

▪ Bachelor qualification in a computer science or STEM (science, technology,

engineering, or mathematics) related field.

▪ At least 5+ years of recent hands-on professional experience (actively

coding) working as a Lead handling support & production issue.

▪ 2+ experience with large scale datasets, data lake and data warehouse

technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake

is highly preferred.

▪ At least 3+ years of experience in ETL (AWS Glue), Amazon S3, Amazon

RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step

Functions.

▪ Professional experience working in an agile, dynamic and customer-facing

environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is

highly preferred.

▪ Understanding of data streaming and scalable data processing is preferred

to have.

▪ Strong knowledge in scripting languages like SQL ,Python, UNIX shell and

Spark is required.

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations

etc.

▪ Technical expertise with data models, data mining and segmentation

techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development

methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment.

▪ Ability to communicate complex technology solutions to diverse teams

namely, technical, business and management teams

Soft Skills

▪ Ability to work in a collaborative environment and coach other team

members on coding practices, design principles, and implementation

patterns that lead to high quality maintainable solutions.

▪ Excellent communications and stake-holder management are required.

▪ Ability to handle senior leadership and report to them if required.

▪ Ability to work in a dynamic, agile environment within a geographically

distributed team.

▪ Ability to focus on promptly addressing customer needs.

▪ Ability to work within a diverse and inclusive team.

▪ Technically curious, self-motivated, versatile and solution-oriented

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Data Engineer

Roles &Responsibilities

We are seeking Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

CLT Programme Overview

This role is part of a structured Company-Led Training (CLT) Programme designed to accelerate capability development in data engineering, AI, and industrial data applications.

Selected candidates will undergo structured On-the-Job Training (OJT), supported by real-world projects, mentorship, and targeted training courses. Participants will gain hands-on experience in building data infrastructure, developing ETL pipelines, managing industrial datasets, and supporting AI/ML and LLM applications within advanced manufacturing environments.

This programme equips participants with practical skills in data governance, data platforms, and secure deployment practices to support industrial AI solutions in the semiconductor and advanced manufacturing industries.

Your Role and Impact

As our Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.

What You’ll Do

1.      Select and manage on-premises technologies suitable for secure and efficient operations.

2.      Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.

3.      Ensure secure, maintainable, and scalable deployment of data infrastructure.

4.      Define and enforce best practices in data governance, privacy, and access control.

5.     Collaboration & Deployment.

What We’re Looking For

* Educational Background:

·      Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.

·      Only Singaporean, Singapore PR can apply due to project requirements.

* Technical Expertise:

• 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.
• Proven track record of building scalable data systems from ground up in a startup environment.
• Proficiency in Python and/or Java for data pipeline development.
• Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).
• Experience designing and maintaining SQL and NoSQL databases.
• Experience building and operating data lakes and data catalog.
• Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

* Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.
• Excellent problem-solving and debugging abilities.
• Ability to balance engineering tradeoffs.

* Bonus Skills:

• Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).
• Familiarity with AI/ML pipelines and tools (e.g., ML flow).
• Knowledge in vector databases and LLM data infrastructure.
• Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).

About the Role

We are looking for a technically strong and analytically driven Data Scientist to design, build, and maintain end-to-end data and AI/ML solutions.

You will work across the full data lifecycle — from developing ETL pipelines and managing cloud platforms to deploying machine learning models and collaborating with stakeholders to drive meaningful outcomes.

What You Will Do

Data Engineering & AI/ML Development

• Design, build, deploy, and maintain end-to-end data and AI/ML projects across big data and cloud platforms
• Develop scalable and reliable ETL processes for ingesting and integrating large volumes of structured and unstructured data from on-premise and cloud sources
• Build and manage enterprise data systems including data lakes, analytics platforms, and AI platforms

Project & Product Management

• Perform project management and product owner activities for the development, testing, and maintenance of enterprise data systems
• Apply Agile methodology across the full development lifecycle — from requirements gathering and sprint planning through to testing and deployment
• Manage timelines, deliverables, and stakeholder expectations across concurrent workstreams

Stakeholder Collaboration & Innovation

• Collaborate with business users, project teams, government agencies, and industry partners to explore and evaluate new AI/ML and data technologies
• Identify and develop deployable solutions that address operational needs and advance strategic goals
• Stay current with emerging data, AI, and cloud technologies — particularly Generative AI and LLM applications

What We Are Looking For

• Degree in Computer Science, Data Science, Statistics, Economics, or a related discipline with strong quantitative content
• Hands-on experience in data analytics, data engineering, or AI/ML project development

• Proficiency in programming languages such as Python, R, Java, Scala, or SAS for data science and data processing applications
• Strong knowledge of cloud platforms (e.g. AWS, Azure, GCP) and big data technologies
• Demonstrable experience with data/ML techniques — data mining, data engineering, machine learning, natural language processing, or similar
• Experience with Generative AI technologies and LLM models is a strong advantage
• Singaporeans Only

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Ho Kah Yeow | R1879233

ScienTec Consulting Pte Ltd |11C5781

Role Overview

We are seeking a Data Engineer to design, develop, and maintain scalable, secure, and reliable data platforms and pipelines that support business and operational needs. The successful candidate will work closely with stakeholders, engineers, and data stewards to deliver high-quality data products while ensuring strong governance, security, and operational excellence.

Key Responsibilities

Data Pipeline Development and Architecture

• Translate business and data requirements into technical specifications and scalable data solutions.

• Develop and maintain data products as part of a cross-functional data team.

• Design, build, and optimise data ingestion pipelines to collect, transform, integrate, and harmonise data from multiple source systems.

• Design, develop, test, and maintain reusable data models to support reporting, analytics, and operational use cases.

• Implement secure and efficient mechanisms for users and applications to access enterprise data assets.

• Evaluate and implement new technologies, tools, and processes to enhance data infrastructure capabilities and performance.

Data Quality, Testing and Validation

• Develop and implement data quality controls and validation processes to ensure data accuracy, completeness, and consistency.

• Design, execute, and maintain test cases for data pipelines, including functional, regression, and exploratory testing.

• Build and maintain automated testing frameworks to improve data reliability and reduce production defects.

• Perform data reconciliation and integrity testing to validate end-to-end data processing and transformation workflows.

• Support User Acceptance Testing (UAT) activities by working with stakeholders to validate business requirements and expected outcomes.

Operations, Governance and Continuous Improvement

• Monitor and maintain databases, ETL processes, and data platforms, including performance optimisation, troubleshooting, capacity planning, and operational support.

• Collaborate with technology teams and stakeholders to align infrastructure, security, and platform requirements.

• Support the implementation and enforcement of data governance policies, standards, and best practices.

• Maintain data catalogues, metadata repositories, and data lineage documentation.

• Implement data security controls, including access management, encryption, masking, and other data protection measures.

• Drive continuous improvements in CI/CD, DevOps, and Site Reliability Engineering (SRE) practices.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• Strong understanding of system design principles, data structures and algorithms, data modelling, data access patterns, and data storage technologies.

• Experience designing, building, and maintaining batch and real-time data pipelines.

• Hands-on experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.

• Proficiency in Python, SQL, and Shell scripting.

• Experience working with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).

• Experience with Databricks.

• Experience implementing data quality frameworks, validation processes, and testing methodologies for data pipelines.

• Familiarity with automated testing approaches and integration within CI/CD environments.

• Experience with issue tracking and test management tools such as JIRA or equivalent platforms.

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience using DevOps tools such as Docker, Git, and Terraform.

• Experience implementing solutions that support data security, data quality, and data governance requirements.

Preferred Experience

• Familiarity with government-sector data management, governance, infrastructure, and security frameworks.

• Experience in climate, weather, environmental, or geospatial data domains will be advantageous.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

About the role

Join a dynamic team where you will leverage your analytical skills to drive actionable insights through data analysis and visualization. Collaborate with stakeholders to shape data-driven strategies that enhance business performance.

Key responsibilities

• Design and implement methodologies for data collection, ensuring data quality through sanity checks.

• Conduct comprehensive data analysis using advanced techniques to extract insights and identify trends.

• Develop and present dashboards, reports, and visualizations that effectively communicate insights to various stakeholders.

• Collaborate with internal and external stakeholders to discern their analytical requirements and translate data into actionable recommendations.

• Stay abreast of industry trends and best practices in data analytics to enhance strategic insights.

• Work alongside the wider product and marketing team to create digital-driven marketing plans, including content and reporting.

• Manage relationships with agencies to ensure timely delivery of data reports and insights.

About you

• Bachelor's Degree in eCommerce/Digital Analytics, Information Systems, Computer Science, or a related field.

• Minimum of 2 years of experience in data analytics.

• Strong knowledge of data mining, analysis, and visualization techniques.

• Excellent analytical and problem-solving abilities with a strong attention to detail.

• Strong communication and presentation skills to clearly convey complex information to non-technical audiences.

• Ability to work independently and within a team in a fast-paced environment.

• Familiarity with eCommerce platforms, web analytics, and UX-UI tools (such as Google Analytics and Mouseflow).

• Proficiency in Excel, Power BI, or equivalent tools.

• Demonstrated ability to manage multiple projects and priorities effectively, while maintaining a balance between detail and the broader view.

• A passion for innovation in the Digital/eCommerce space and a keen interest in data analysis.

Interested candidate who wish to apply for the advertised position, please click “Apply”. We regret that only shortlisted candidates will be notified 

EA License No.: 01C4394 (PERSOL Singapore Pte Ltd) 

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Brief Summary:
We are seeking a skilled AI Data Engineer to design and enhance our data infrastructure, ensuring robust and scalable AI-driven solutions that empower business performance and innovation.

Responsibilities:

• Lead the architecture, operation, and ongoing enhancement of the Data Lake and AI platform.

• Develop and manage scalable data pipelines utilizing cloud-native technologies.

• Monitor and ensure data quality, governance, lineage, and platform security.

• Set standards and best practices for data management processes.

• Create and deploy AI Agents and GenAI-driven solutions.

• Implement Retrieval-Augmented Generation architectures to leverage organizational knowledge.

• Design workflows that streamline business processes and enhance productivity.

• Assess new AI technologies and propose enhancements to organizational capabilities.

Requirements:

• Bachelor's degree in a relevant field.

• Proven experience in ETL/ELT pipeline development with strong SQL skills for large datasets.

• Proficiency in programming with Python or similar languages for backend development.

• Familiarity with LLMs and RAG architecture.

• Experience with relational and NoSQL databases.

• Knowledge of containerization technologies such as Docker and basic understanding of AWS.

• Strong analytical and problem-solving skills, with the ability to operate in dynamic environments.

• Experience with CI/CD practices for data applications is advantageous.

• Familiarity with streaming data technologies and understanding of machine learning workflows is a plus.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Meta designs, builds, leases and operates innovative and efficient data centers. Locating, developing and managing this data center infrastructure the "right" way is synonymous with ensuring capacity availability, speed to market, risk management, flexibility, and capital and operational cost efficiency. Meta is seeking an experienced, organized and driven development (program) manager to join the Data Center Site Development team and help build our rapidly scaling data center portfolio.

A successful Development Manager candidate demonstrates the ability to think both analytically and strategically, to dive into the details and also assess projects from a global view, and to develop creative solutions and navigate the challenges that accompany projects of large magnitude and scale. The Development Manager is also an experienced project manager who communicates effectively, forms partnerships, and influences and drives desired outcomes with internal and external stakeholders.

Responsibilities

• Site Evaluation & Selection
• Evaluate opportunities for new data center sites, campus expansions, and strategic land acquisitions by conducting market assessments, including analysis of power availability, fiber connectivity, labor markets, land costs, tax environments, and natural hazard exposure
• Lead the diligence and development process to vet prospective sites and assess site risks and opportunities by analyzing regional and site-specific information pertaining to:
• Permitting and land-use data
• Federal, state, and local tax structures, incentive programs, abatement opportunities, enterprise zone designations, and economic development agreements
• Energy availability, cost, and reliability — including renewable energy procurement pathways, grid capacity, interconnection timelines, and utility rate structures — as well as water supply, capacity, and long-term sustainability
• Natural hazard, floodplain, seismic, and climatological data
• Legal, physical risk, and financial implications, including title encumbrances, easement constraints, environmental liabilities, and geotechnical conditions
• Develop and maintain site evaluation scorecards and comparative frameworks that enable data-driven decision-making across multiple candidate locations
• Conduct preliminary desktop and in-person site visits to validate data findings and assess physical site conditions, access, and surrounding land use compatibility
• Regulatory & Permitting
• Facilitate compliance efforts related to real estate, land use, and utility regulatory matters
• Facilitate application and management of environmental permitting processes, including preparation of environmental impact assessments, stormwater management plans, wetland delineation reviews, air quality permits, noise studies, and endangered species consultations
• Facilitate interpretation of regulations and assess their impact on Meta's data center footprint, operations, and future expansion plans
• Monitor legislative and policy developments related to energy, water, land use, and data center operations, proactively identifying risks and opportunities for Meta's portfolio
• Ensure ongoing compliance with all conditions of approval, permit requirements, and development agreements throughout the construction and operational lifecycle of each site
• Utility & Infrastructure Negotiations
• Facilitate negotiations with electric utility companies to secure reliable, cost-effective power supply agreements, including terms related to capacity, redundancy, rate structures, renewable energy commitments, interconnection timelines, and infrastructure cost-sharing
• Facilitate negotiations with water and wastewater utility providers to establish supply agreements, secure adequate capacity for cooling and operational needs, and ensure compliance with discharge and conservation requirements
• Maintain strong working relationships with utility planning and engineering teams to stay ahead of infrastructure constraints and future capacity limitations
• Advocate for infrastructure improvements or upgrades necessary to support data center development, including transmission line extensions, substation upgrades, and water main improvements
• Stakeholder coordination & communication:
• Take the lead role in organizing cross-functional communications and tracking progress toward on-time delivery of projects by key internal and external stakeholders in support of site selection and development efforts
• Work closely with the Site Selection Manager and other key project team members to ensure alignment among all internal stakeholders and to identify creative, efficient ways to overcome obstacles in the site development process
• Coordinate cross-functional responses to external parties such as government authorities, utility companies, regulatory bodies, industry associations, economic development organizations, and community groups
• Serve as the primary liaison between internal teams and external consultants (land-use attorneys, environmental engineers, civil engineers, lobbyists, and real estate brokers) to ensure deliverables are completed on time and to specification
• Facilitate regular project status meetings, maintain action item trackers, and produce executive-level progress reports for leadership review
• Strategy & Portfolio Management
• Support the development of Meta's near-term and long-term data center location strategy and leased portfolio plan
• Support the preparation of project recommendations, business cases, and investment proposals for presentation to senior management for approval
• Support a portfolio of existing sites under construction or in operation to facilitate on-time and quality delivery
• Track and monitor ongoing site development activities, including agreement management, milestone tracking, financial obligation compliance, and renewal/amendment negotiations
• Maintain a comprehensive database of site-specific entitlements, permits, agreements, and regulatory commitments for all sites within the assigned portfolio
• Process Improvement & Tools
• Develop scalable, efficient tools and processes to improve delivery, communication, and knowledge management for data center site development activity
• Create and maintain standardized templates, checklists, and workflows for site evaluation, permitting, and stakeholder engagement
• Identify opportunities to leverage technology to enhance team productivity and decision-making
• Document lessons learned from completed projects and incorporate best practices into future development activities
• This role requires 25-50% travel

Minimum Qualifications

• Bachelor's degree in Real Estate, Engineering, Computer Science, Operations or Business
• 5+ years of experience in critical facility site development, commercial real estate development, infrastructure development, data center site selection, or equivalent experience
• Experience in managing multiple projects and coordinating with internal staff, external consultants, vendors, and other stakeholders across multiple time zones
• Experience with a range of project management tools and software, (e.g., Google Suite, Excel, PowerPoint, project management software, etc.)

Preferred Qualifications

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 7+ years of experience in critical facility site development, commercial real estate development, infrastructure development, data center site selection, or equivalent experience
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Advanced / Master’s degree in the academic fields listed above
• 7+ years of experience with evaluation and planning for land use diligence, power and water utilities, cooling technology, site development, entitlements, permitting

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

About the Role

We are seeking a strategic and hands-on analytics leader to drive the end-to-end delivery of data insights that inform business decisions and organisational strategy. This role combines leadership, advanced analytics, and stakeholder engagement to unlock the value of data and translate it into meaningful outcomes.

You will lead a high-performing team to turn complex data into clear, actionable insights, while partnering with internal and external stakeholders to strengthen data-driven decision-making.

Key Responsibilities

Analytics Leadership & Delivery

• Lead the compilation, analysis and reporting of key performance indicators, ensuring timely and accurate insights delivery
• Translate complex datasets into actionable recommendations for business and industry stakeholders
• Oversee data cleaning, ingestion, transformation and analysis across multiple data sources

Strategy & Insight Generation

• Design and drive analytics strategies using both quantitative and qualitative methodologies
• Apply statistical techniques, forecasting models and data visualisation tools to generate insights
• Identify trends and emerging issues to guide strategic decision-making

Stakeholder Management & Collaboration

• Partner with cross-functional teams, including product, engineering and business stakeholders
• Coordinate with Whole-of-Government (WOG) agencies and external partners on data initiatives
• Provide advisory on data, analytics and economic impact assessments

Operations & Governance

• Oversee reporting cycles, publications and stakeholder data requests
• Ensure high standards of data governance, quality and integrity
• Manage vendors, contracts and end-to-end data operations

Team Leadership

• Lead, mentor and develop a high-performing analytics team
• Foster a culture of innovation, collaboration and continuous learning
• Guide the team in aligning analytics outputs with organisational priorities

What We’re Looking For

Experience & Expertise

• Minimum 8 years’ experience in data analytics, including at least 3 years in a leadership role
• Strong foundation in analytics, statistics, economics, applied mathematics or related disciplines
• Proven experience in data wrangling, modelling, visualisation and insight generation
• Familiarity with statistical modelling, forecasting and market research methodologies

Technical Skills

• Proficiency in analytics tools such as Python, R and SQL
• Experience working with large, complex datasets and multiple data sources
• Ability to integrate analytics outputs into dashboards or platforms

Business & Communication

• Strong ability to translate data into business value and strategic recommendations
• Confident communicator with experience engaging senior stakeholders
• Proven ability to influence and collaborate across diverse teams

Personal Attributes

• Strong analytical thinking with attention to detail
• Self-driven and adaptable in fast-paced environments
• Effective project and stakeholder management skills
• Curious mindset with a passion for learning and innovation

Preferred (but not essential)

• Experience in client-side research or applied analytics environments
• Knowledge of economic impact analysis or cost-benefit assessment

Why Join Us

• Shape strategic decisions through impactful data insights
• Lead meaningful analytics work with real-world outcomes
• Work with diverse stakeholders across industries and sectors
• Grow and develop a high-performing analytics team

"Interested applicants, please email your resume to jacky.wong@persolapac.com or WhatsApp+65 9118 4028 for a confidential discussion about the role."

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and CV, you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at sg.dataprotection@persolapac.com Please feel free to contact us if you have any queries. 

EA License No: 01C4934 PERSOL Singapore Pte Ltd

EA Personnel No: R1107106

Wong Chee Ann Jacky

Role Summary

We are seeking a highly skilled Big Data Engineer with strong experience in PySpark and Scala to design, build, and optimizelarge-scale data processing systems.

The associate will work on distributed data platforms, enabling real-time and batch analytics solutions across enterprise data ecosystems.

The role involves building scalable data pipelines, data lakes, and streaming solutions leveraging modern big data technologies.

This role requires a combinationof:

Strong PySpark + Scala coding

Deep big data architecture knowledge

Hands-on experience with streaming + cloud data engineering

Required Skills

Core Technologies

Strong hands-on experience in:

PySpark & Apache Spark

Scala programming

Expertise in:

Spark SQL, Data Frames, RDDs

Distributed data processing frameworks

About Company

Our client is a leading public sector organization driving initiatives at the intersection of healthcare, research, and data innovation. As part of a growing national effort to strengthen biomedical research capabilities, they are seeking an experienced leader to shape how health and biomedical data are prepared for future scientific and AI applications.

Roles & Responsibilities

• Lead programmes that improve the quality, usability, and accessibility of biomedical datasets to support research and innovation initiatives.

• Bring together clinicians, researchers, data specialists, and institutional stakeholders to align on approaches to data interpretation, standardization, and readiness.

• Develop frameworks and operating models that enable teams to deliver complex data initiatives effectively across organizational boundaries.

• Identify opportunities to strengthen data practices through the adoption of appropriate methodologies, technologies, and industry best practices.

• Act as a trusted advisor to stakeholders, balancing scientific objectives, operational realities, and governance considerations to drive successful outcomes.
  

Key Requirements

• Degree in Bioinformatics, Health/Medical Informatics, Data Science, Medicine, or a related discipline.

• At least 10 years of relevant experience in healthcare, biomedical research, health informatics, bioinformatics, or other data-driven environments.

• Experience working with healthcare institutions, research organizations, or stakeholders responsible for managing and governing health-related data.

• Familiarity with health data standards, data governance principles, and the practical challenges of preparing complex datasets for research use.

• Strong stakeholder management and communication skills, with a proven ability to lead cross-functional initiatives and influence outcomes in complex environments.

• Advanced qualifications (e.g. PhD) in a relevant discipline would be advantageous.
  

Application Process

To apply, please send your updated resume to Sean Wong (Registration ID No. R1441040) at sean.wong@cornerstoneglobalpartners.com with the job title or apply through the application link. Only shortlisted candidates will be notified. Information provided in this advertisement is for recruitment purposes only.

Cornerstone Global Partners (EA Licence Number: 19C9859) is an affirmative equal-opportunity employer and recruitment firm. We evaluate qualified applicants without regard to race, colour, religion, creed, gender identity, marital status, national origin, veteran status, disability, or any other protected class. with the job title or swiftly or apply through Jobstreet. Only shortlisted candidates will be notified. Information provided in this advertisement is for recruitment purposes only.

• Design, develop, and maintain scalable data pipelines and data processing frameworks.
• Build ETL/ELT solutions to ingest, transform and process structured and unstructured data.
• Develop high-performance data workflows using Python, Spark and distributed computing technologies.
• Implement data models, data lakes, warehouses and Lakehouse architecture.
• Develop and support data pipelines powering AI/ML models and analytics solutions.
• Partner with Data Scientists to produce machine learning models.
• Build feature engineering pipelines and reusable ML datasets.
• Implement MLOps practices, including model deployment, monitoring and lifecycle management.

Skills/Requirement -

• Strong hands-on experience in Data Engineering.
• Hands-on experience building large-scale data pipelines.
• Strong programming experience with Python.
• Experience working with cloud-based data platforms.
• Exposure to AI/ML model lifecycle and MLOps practices.

Responsibilities

• Support the deployment and implementation of AI infrastructure and data centre projects.
• Coordinate project activities with customers, distributors, vendors, technology partners, and internal engineering teams.
• Assist in the design and implementation of AI computing solutions, including GPU servers, storage systems, networking equipment, and cooling infrastructure.
• Participate in customer meetings, technical discussions, and project planning activities.
• Prepare technical proposals, system architecture designs, deployment plans, and project documentation.
• Manage project schedules, milestones, deliverables, and progress reporting to ensure timely project execution.
• Coordinate and oversee Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT).
• Support installation, commissioning, troubleshooting, and maintenance of AI infrastructure solutions.
• Collaborate closely with global technology partners and OEMs to ensure successful project delivery and system integration.
• Ensure compliance with customer requirements, industry standards, and project specifications.
• Provide post-deployment technical support, issue resolution, and project follow-up to maintain customer satisfaction.

Requirement

• Min Diploma in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines.
• Min 2 years of experience in project engineering, systems integration, data centres, IT infrastructure.
• Knowledge of servers, networking, storage systems, power distribution, cooling systems, or data centre infrastructure.
• Familiarity with AI computing platforms, GPU technologies, and high-performance computing environments will be an advantage.
• Require to travel locally and overseas when required.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Senior Data Centre Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities. This role provides technical leadership in managing critical M&E infrastructure, supports service delivery excellence, and ensures compliance with safety, operational, and regulatory standards.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan, supervise, and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Technical Leadership

• Provide technical guidance and mentorship to junior engineers and technicians.
• Act as escalation point for complex technical issues.
• Support audits, certifications, and compliance initiatives (e.g. ISO, SS 564, Uptime).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 4-5 years of relevant experience for a data centre

Work Locations: Bedok/Woodlands (Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $5500

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]

Position:                          Data Processor (CAD)

Department :                  Hydrographic Survey Operations

About the Role

We are seeking a skilled and detail-oriented Data Processor (CAD) to join our Hydrographic Survey team. The successful candidate will be responsible for processing hydrographic and geospatial survey data, preparing CAD deliverables, ensuring data quality, and supporting offshore and nearshore survey projects.

Key Responsibilities

·      Process hydrographic survey data acquired from multibeam echo sounders, single beam echo sounders, side-scan sonar, motion sensors, and other survey equipment.

·      Prepare bathymetric charts, seabed maps, survey plans, profiles, and as-built drawings using AutoCAD and related software.

·      Perform data cleaning, validation, quality control, and quality assurance checks.

·      Generate survey deliverables in accordance with client specifications and industry standards.

·      Maintain survey databases, project files, and document control records.

·      Assist in the preparation of technical reports, charts, and project submissions.

·      Coordinate with Hydrographic Surveyors, Party Chiefs, and Operations Manager to ensure timely delivery of project outputs.

·      Support offshore and nearshore survey projects by processing and interpreting survey data.

·      Maintain processing records, logs, and documentation.

·      Ensure compliance with company QHSE and ISO requirements.

Requirements

·      Diploma or Degree in Surveying, Geomatics, Geospatial Science, Engineering, GIS, or a related discipline.

·      Minimum 2 years of experience in survey data processing, CAD drafting, or hydrographic survey operations.

·      Proficiency in AutoCAD.

·      Experience with hydrographic processing software such as Qimera, Terramodel, Qinsy, ArcGIS, or similar software is an advantage.

·      Knowledge of hydrographic survey principles and bathymetric data processing.

·      Familiarity with IHO standards and offshore survey deliverables is preferred.

·      Strong attention to detail and analytical skills.

·      Ability to work independently and meet project deadlines.

·      Good communication and teamwork skills.

Preferred Experience

·      Hydrographic Survey and Offshore Survey projects.

·      Bathymetric data processing and chart production.

·      GIS and geospatial data management.

·      Offshore construction support, dredging, cabler route, pipeline route, or port development projects.

What We Offer

·      Competitive salary and benefits package.

·      Training and career development opportunities.

·      Exposure to local and international marine survey projects.

·      Opportunity to work with advanced hydrographic and geospatial technologies.

Interested applicants are invited to submit their updated resume, expected salary, and availability for consideration. Only short listed candidate will be notified.

Fresh graduates with strong AutoCAD and GIS skills are encouraged to apply.

Meta designs, builds, leases and operates innovative and efficient data centers. Locating, developing and managing this data center infrastructure the "right" way is synonymous with ensuring capacity availability, speed to market, risk management, flexibility, and capital and operational cost efficiency. Meta is seeking an experienced, organized and driven development (program) manager to join the Data Center Site Development team and help build our rapidly scaling data center portfolio.

A successful Development Manager candidate demonstrates the ability to think both analytically and strategically, to dive into the details and also assess projects from a global view, and to develop creative solutions and navigate the challenges that accompany projects of large magnitude and scale. The Development Manager is also an experienced project manager who communicates effectively, forms partnerships, and influences and drives desired outcomes with internal and external stakeholders.

Responsibilities

• Site Evaluation & Selection
• Evaluate opportunities for new data center sites, campus expansions, and strategic land acquisitions by conducting market assessments, including analysis of power availability, fiber connectivity, labor markets, land costs, tax environments, and natural hazard exposure
• Lead the diligence and development process to vet prospective sites and assess site risks and opportunities by analyzing regional and site-specific information pertaining to:
• Permitting and land-use data
• Federal, state, and local tax structures, incentive programs, abatement opportunities, enterprise zone designations, and economic development agreements
• Energy availability, cost, and reliability — including renewable energy procurement pathways, grid capacity, interconnection timelines, and utility rate structures — as well as water supply, capacity, and long-term sustainability
• Natural hazard, floodplain, seismic, and climatological data
• Legal, physical risk, and financial implications, including title encumbrances, easement constraints, environmental liabilities, and geotechnical conditions
• Develop and maintain site evaluation scorecards and comparative frameworks that enable data-driven decision-making across multiple candidate locations
• Conduct preliminary desktop and in-person site visits to validate data findings and assess physical site conditions, access, and surrounding land use compatibility
• Regulatory & Permitting
• Facilitate compliance efforts related to real estate, land use, and utility regulatory matters
• Facilitate application and management of environmental permitting processes, including preparation of environmental impact assessments, stormwater management plans, wetland delineation reviews, air quality permits, noise studies, and endangered species consultations
• Facilitate interpretation of regulations and assess their impact on Meta's data center footprint, operations, and future expansion plans
• Monitor legislative and policy developments related to energy, water, land use, and data center operations, proactively identifying risks and opportunities for Meta's portfolio
• Ensure ongoing compliance with all conditions of approval, permit requirements, and development agreements throughout the construction and operational lifecycle of each site
• Utility & Infrastructure Negotiations
• Facilitate negotiations with electric utility companies to secure reliable, cost-effective power supply agreements, including terms related to capacity, redundancy, rate structures, renewable energy commitments, interconnection timelines, and infrastructure cost-sharing
• Facilitate negotiations with water and wastewater utility providers to establish supply agreements, secure adequate capacity for cooling and operational needs, and ensure compliance with discharge and conservation requirements
• Maintain strong working relationships with utility planning and engineering teams to stay ahead of infrastructure constraints and future capacity limitations
• Advocate for infrastructure improvements or upgrades necessary to support data center development, including transmission line extensions, substation upgrades, and water main improvements
• Stakeholder coordination & communication:
• Take the lead role in organizing cross-functional communications and tracking progress toward on-time delivery of projects by key internal and external stakeholders in support of site selection and development efforts
• Work closely with the Site Selection Manager and other key project team members to ensure alignment among all internal stakeholders and to identify creative, efficient ways to overcome obstacles in the site development process
• Coordinate cross-functional responses to external parties such as government authorities, utility companies, regulatory bodies, industry associations, economic development organizations, and community groups
• Serve as the primary liaison between internal teams and external consultants (land-use attorneys, environmental engineers, civil engineers, lobbyists, and real estate brokers) to ensure deliverables are completed on time and to specification
• Facilitate regular project status meetings, maintain action item trackers, and produce executive-level progress reports for leadership review
• Strategy & Portfolio Management
• Support the development of Meta's near-term and long-term data center location strategy and leased portfolio plan
• Support the preparation of project recommendations, business cases, and investment proposals for presentation to senior management for approval
• Support a portfolio of existing sites under construction or in operation to facilitate on-time and quality delivery
• Track and monitor ongoing site development activities, including agreement management, milestone tracking, financial obligation compliance, and renewal/amendment negotiations
• Maintain a comprehensive database of site-specific entitlements, permits, agreements, and regulatory commitments for all sites within the assigned portfolio
• Process Improvement & Tools
• Develop scalable, efficient tools and processes to improve delivery, communication, and knowledge management for data center site development activity
• Create and maintain standardized templates, checklists, and workflows for site evaluation, permitting, and stakeholder engagement
• Identify opportunities to leverage technology to enhance team productivity and decision-making
• Document lessons learned from completed projects and incorporate best practices into future development activities
• This role requires 25-50% travel

Minimum Qualifications

• Bachelor's degree in Real Estate, Engineering, Computer Science, Operations or Business
• 5+ years of experience in critical facility site development, commercial real estate development, infrastructure development, data center site selection, or equivalent experience
• Experience in managing multiple projects and coordinating with internal staff, external consultants, vendors, and other stakeholders across multiple time zones
• Experience with a range of project management tools and software, (e.g., Google Suite, Excel, PowerPoint, project management software, etc.)

Preferred Qualifications

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 7+ years of experience in critical facility site development, commercial real estate development, infrastructure development, data center site selection, or equivalent experience
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Advanced / Master’s degree in the academic fields listed above
• 7+ years of experience with evaluation and planning for land use diligence, power and water utilities, cooling technology, site development, entitlements, permitting

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

• Build Scalable Data Solutions
• Drive Impact Through Data

About Our Client

This organisation is a well-established player in the insurance sector, known for its focus on technology-driven solutions. With a strong presence in the industry, it prioritises innovation and efficiency to deliver exceptional services to its customers.

Job Description

• Oversee day-to-day data operations to ensure seamless functionality and compliance.
• Collaborate with cross-functional teams to address data-related challenges and implement solutions.
• Monitor and maintain data quality, accuracy, and integrity across platforms.
• Develop and optimise workflows to enhance operational efficiency.
• Generate reports and insights for stakeholders, highlighting key metrics and trends.
• Ensure adherence to industry regulations and internal governance policies.
• Provide leadership and support to the data operations team.
• Identify opportunities for process improvements and drive their implementation.

The Successful Applicant

A successful Data BAU Lead should have:

• Relevant qualifications in data management, technology, or a related field.
• Experience in managing data operations within the insurance industry.
• Strong analytical skills and a keen eye for detail.
• Proficiency in data tools and technologies relevant to the role.
• Proven ability to lead and manage teams effectively.
• Excellent communication and stakeholder management skills.
• Knowledge of compliance requirements within the insurance sector.
• At least 8+ years of Data Engineer Experience
• Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.
• At least 5+ years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issue.
• 2+ experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred)

What's on Offer

• Temporary role offering valuable experience in the insurance industry.
• Opportunity to work in a technology-driven environment.
• Exposure to key stakeholders and cross-functional collaboration.

If you are ready to take on the challenge of a Data BAU Lead role in the insurance sector, apply now to join this innovative tea

Contact

Meenal Sharma (Lic No: R21103442/ EA no: 18C9065)

Quote job ref

JN-062026-7039066

Phone number

+65 6643 9741

Michael Page International Pte Ltd | Registration No. 199804751N   

Responsibilities:

• Lead and collaborate with data scientists and analysts to drive innovation, knowledge sharing, and continuous improvement.
• Design, develop, and deploy robust analytical and machine learning models using advanced statistical techniques.
• Partner with business and technical stakeholders to identify key challenges and translate them into data-driven solutions.
• Develop dashboards and data visualisations to effectively communicate insights to technical and non-technical audiences.
• Stay current with emerging data science trends, tools, and methodologies, applying relevant advancements where appropriate.
• Contribute to the establishment and enhancement of data governance, data quality, and analytics best practices.

Requirements

• Master’s degree or PhD in Data Science, Statistics, Machine Learning, Computer Science, or a related quantitative discipline.
• Significant hands-on experience in data science or advanced analytics roles, preferably within complex engineering or operational environments.
• Strong proficiency in Python and/or SQL, with experience using machine learning libraries and frameworks.
• Demonstrated ability to manage multiple projects concurrently and deliver high-quality outcomes in a fast-paced setting.
• Strong analytical and problem-solving skills, with the ability to interpret and extract insights from complex datasets.
• Excellent communication and stakeholder engagement skills, with the ability to explain technical concepts clearly to non-technical audiences.
• Familiarity with enterprise systems (e.g. PLM, MES, MRO) and cloud platforms such as AWS will be advantageous.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Roles & Responsibilities

Position: Data Entry Coordinator (Operations)

Location: Singapore 

About the Role: We are seeking a detail-oriented and dedicated Data Entry Coordinator to join our team. The successful candidate will be responsible for accurately inputting, updating, and maintaining operational records, ensuring data integrity and confidentiality at all times.

Key Responsibilities:

• Enter and update information into databases and spreadsheets.

• Verify accuracy of data and correct errors when identified.

• Maintain organized filing systems (digital and physical).

• Ensure compliance with company policies and data protection standards.

• Provide administrative support to other departments when required.

Requirements:

• Strong attention to detail and accuracy.

• Proficiency in Microsoft Office (Outlook, Excel, Word) and data management systems

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

By submitting your personal data and/or resume, you give consent to the collection, use and disclosure of your personal data and/or resume by the company for the purpose of processing and administration by the company relating to this job application.

We regret to inform only shortlisted candidates will be notified.

Duration: 1 year

Location: Novena

Working Hours: Monday - Thursday 8:30am to 6pm; Friday 8:30am to 5:30pm

Responsibilities:

• Coordinate and support the implementation of programmes, workshops, training sessions, and events.

• Liaise with participants, partners, vendors, and stakeholders to ensure successful programme execution.

• Manage programme registrations, attendance tracking, and participant communications.

• Prepare programme-related materials, reports, presentations, and documentation.

• Monitor programme schedules and ensure timely completion of deliverables.

• Respond to enquiries and provide administrative support to programme participants and stakeholders.

• Maintain accurate records, databases, and programme information.

Requirements:

• Diploma or Degree in any discipline.

• Prior experience in programme coordination, administration, customer service, events, or stakeholder engagement is preferred.

• Strong organizational and time management skills.

• Good interpersonal and communication skills.

• Proficient in Microsoft Office applications, especially Excel, Word, and PowerPoint.

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOL job application platform.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.