Total 786 Information Technology job vacancies

Work scope, duties and responsibilities

1. Perform Quality administrative duties including data entry, document management.

2. Coordinate & assist in sorting, filing, and copying documents.

3. Any other duties and responsibilities assigned by the Company from time to time

Working Day/ Time : Sunday to Thursday, 8.30am to 6pm (5 days)

* Can use Microsoft Word & Microsoft Excel.

* Sometimes need to wear jumpsuit work inside clean room.

* Can speak in simple English.

* Simple Computer Knowledge.

* Require teamwork in order to complete tasks and accomplish common goals.

* Good communication, interpersonal skill and responsibility.

* Provide onsite training.

About our group:

The AI and Tools Development team is at the forefront of AI Transformation within Seagate's Product Development Group. Our mission is to leverage AI technologies to accelerate product development, ensuring that we meet production volume and reliability standards. By utilizing AI, we enhance our research capabilities and drive continuous innovation.

About the role - you will:

• Join a dynamic data science team focused on using data to drive business growth and innovation.
• Work closely with senior data scientists to analyze data, develop models, and generate actionable insights.
• Contribute to solving complex, real‑world problems through data‑driven approaches and analytical thinking.
• Assist in the collection, cleaning, and preprocessing of large datasets from multiple internal and external sources.
• Conduct exploratory data analysis to uncover trends, patterns, and anomalies that inform business and engineering decisions.
• Develop and implement machine learning models and algorithms with guidance from senior data scientists.
• Collaborate with cross‑functional partners to understand problem statements and translate business needs into data‑driven solutions.
• Create clear data visualizations and reports to communicate insights to both technical and non‑technical stakeholders.
• Participate actively in team meetings, technical discussions, and continuous learning initiatives.

About you:

• Intrinsic motivation and strong attention to detail, with a commitment to delivering high‑quality, well‑reasoned work.
• A genuine passion for applying data science and analytics to solve meaningful and complex business problems.
• A growth‑oriented mindset, demonstrated through continuous learning, openness to feedback, and hands‑on skill development.
• Strong analytical and critical‑thinking abilities, with comfort navigating large, complex, and sometimes ambiguous datasets.
• Clear and effective communication skills, with the ability to convey complex technical concepts to both technical and non‑technical audiences.
• A collaborative and team‑oriented approach, contributing positively to a high‑trust, high‑performance environment.
• Proactive curiosity and self‑drive to stay current with emerging trends, tools, and techniques in data science, machine learning, and AI.

Your experience includes:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• 0–2 years of hands‑on experience in data science, machine learning, or related areas (including internships or academic projects).
• Proficiency in programming languages such as Python or R.
• Foundational knowledge of machine learning frameworks and libraries (e.g., scikit‑learn, TensorFlow).
• Foundational understanding of core data science principles, including data analysis, modeling, and insight generation.
• Exposure to working with data to support decision‑making, business outcomes, or innovation initiatives.
• Experience collaborating with more senior team members in an analytical or technical environment.

Location:

The Shugart site (named after Seagate’s founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities.

Location: Shugart, Singapore
Travel: None

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Data Engineer

You will work in Singapore Government Agencies

Internal Code: A26137

This is a fixed term contract role. The engagement is 2 years.

What will you do?

• Able to communicate well, strong conviction in the Government's mission and good user management skills
• Experienced in running major projects with strong management skills
• Can think of the big picture while being able to deep-dive into details if required
• Able to hands-on and go onsite e.g. project sites if required.
• Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant
• Collaborate with Product Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products
• Be responsible for developing backend APIs & working on databases to support the applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Work closely with fellow developers through pair programming and code review process.

What are we looking for?

• Familiar with GIS platforms: ArcGIS Server, PostGIS
• Able to use spatial Python libraries: GeoPandas, Shapely
• Build scalable geospatial data pipelines for ingestion, transformation, storage, and quality checks from multiple government sources.
• Implements data cataloging, metadata, lineage, and security; optimizes storage and performance for GIS analytics (e.g., PostGIS, data lakes).
• Provides reliable data services and contracts to support downstream GIS analytics and front-end visualizations, collaborating closely with GIS and frontend teams.
• Data management: applies validation, cleansing, reprojection, metadata, and data lineage of geospatial data
• Designs enterprise geospatial data models, schemas, pipelines, and services; builds or configures web map services and front-end visualization components.
• Ensures data quality, standards compliance (ISO 19115/19139, OGC), governance, and operational reliability of GIS data assets.

What do we offer in return?

• Fun working environment
• Employee Wellness Program
• To work in Singapore Government Agencies projects
• We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

The Data Engineer is responsible fordesigning, building, and maintaining data infrastructure that supportsanalytics, applications, and enterprise reporting needs. This includesconstructing scalable pipelines, managing data flows across systems, andenabling reliable storage, integration, and retrieval of information acrosscloud and on‑premise environments. The role involves close collaboration withcross‑functional teams to deliver data‑driven solutions that are robust, secure,and high-performing.

Key Responsibilities

1. Data Architecture & Development

• Design, create, and deploy data models, tables, views, and data marts across data warehouses, operational data stores, data lakes, and data virtualization environments.
• Build backend APIs and database structures to support applications and data products.

2. Data Extraction & Transformation

• Perform data extraction, cleansing, transformation, and blending across multiple sources.
• Conduct web scraping activities when needed, using appropriate automation tools.
• Ensure data reliability, accuracy, and consistency through well-structured data processing workflows.

3. Data Pipelines & Processing

• Develop and maintain large-scale batch and real-time data pipelines using modern data engineering frameworks.
• Implement ETL/ELT processes leveraging tools such as SSIS, AWS Glue, AWS DMS, Python, Lambda, ECS tasks, EventBridge, Spring, or similar technologies.
• Integrate data from distributed systems and eliminate data silos through scalable and secure data flows.

4. Collaboration & Product Delivery

• Partner with Project Managers, Data Architects, Business Analysts, Frontend Developers, Designers, and Data Analysts to deliver end-to-end data-driven solutions.
• Participate in Agile ceremonies and contribute to continuous integration and delivery practices.
• Engage in pair programming and participate in code reviews to ensure coding standards and quality.

5. Infrastructure, Cloud & Big Data

• Work with cloud platforms such as AWS, Azure, or Google Cloud to build and operate cloud-native data solutions.
• Design and manage data pipelines in big data environments using tools like Spark, Hadoop, Kafka, RabbitMQ, or similar technologies.
• Ensure systems are resilient, scalable, and suitable for production workloads.

6. Data Governance & Security

• Apply data governance principles, ensuring compliant access, secure storage, and proper data handling practices.
• Implement security best practices for data assets and support policy enforcement across systems.

Required Technical Skills

Data Processing & Programming

• Proficient in data cleaning and transformation using SQL, Python (pandas), R, or equivalent tools.
• Strong skills in ETL/ELT pipeline development and workflow orchestration.

Databases & Storage

• Hands-on experience designing and operating relational and non-relational databases such as SQL Server, PostgreSQL, MySQL, MongoDB, Cassandra, Athena, SQLite, VoltDB, or S3-based storage.
• Familiarity with data warehouse, data lake, data mart, and data virtualization concepts.

System Design & APIs

• Solid understanding of system design, data structures, algorithms, and backend development.
• Comfortable working with REST APIs, HTTP protocols, and integrating various data sources.

Big Data & Distributed Systems

• Knowledge of distributed systems and tools (Hadoop, Spark, Kafka, etc.).
• Ability to implement streaming, micro‑batch, or batch processing pipelines.

Web Scraping & Automation

• Experience with web scraping technologies like BeautifulSoup, Selenium, CasperJS, PhantomJS, Node.js, or similar tools.

Security & Data Governance

• Familiar with access control, encryption, audit logging, and other data security practices.

Tools & Environment

• Comfortable working in both Windows and Linux environments.
• Experience using CI/CD pipelines and participating in DevOps-oriented workflows.

Soft Skills & Attributes

• Detail‑oriented with a strong focus on problem solving and analytical thinking.
• Good communication skills, capable of discussing technical topics with both technical and non‑technical stakeholders.
• Collaborative mindset and ability to work as a bridge between engineering and analytics teams.
• Self‑motivated, adaptable, and comfortable managing work in a fast-paced Agile environment.

Please submit resumes to john@oaktree.com.sg with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Introduction: A Career at HARMAN Lifestyle

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. As a member of HARMAN Lifestyle, you connect consumers with the power of superior sound.

• Contribute your talents to high-end, esteemed brands like JBL, Mark Levinson and Revel
• Unite your passion for audio innovation with high-tech product development
• Create pitch-perfect, cutting-edge technology that elevates the listening experience.

About the Role

In this role, you will be a core member of a small but effective integrated regional team that will help HARMAN build and grow APAC’s digital ecosystem.

You will be in charge of collecting, analysing, and interpreting complex data sets to provide insights that drive business decisions. The ideal candidate will have a strong passion for data mining, analysis and data visualisation. You will also be able to work independently and as part of a team to deliver high-quality results with the goal of bringing best in class experiences to life for our consumer. You will collaborate with cross-functional teams to identify opportunities for digital business growth.

You will report directly to the Senior Manager, Digital & E-Commerce, and this is an independent contributor role managing JBL and Harman Kardon across APAC. You will also be working collaboratively with our distribution partners, digital, ecommerce leads and regional business development managers to drive strategic thinking and KPI measurements.

What You Will Do

Data Collation and Analysis:

• Design and implement data collection methodologies and process to collate relevant data from multiple sources and ensure sanity check.
• Conduct detailed data analysis using data techniques, mining and visualisation to extract insights and identify trends.

Reporting and Visualisation:

• Create dashboards, reports and visualisations that effectively communicate data-driven insights to various stakeholders.
• Present findings and recommendations to internal teams, stakeholders and senior management in an accurate and concise manner.
• Continuously refine reporting processes to improve accuracy, efficiency and effectiveness of data

Business Insights and Strategy:

• Collaborate with internal and external stakeholders to understand their analytical needs.
• Analyse data, work with stakeholders to understand their needs and translate data into actionable insights and recommendations.
• Develop data visualisation to communicate findings.
• Stay updated with industry trends and best practices in data analytics.
• Collaborate with the wider product and marketing team to plan and create digital driven marketing plans (includes paid media), content, creatives, KPIs & reporting.
• Work in hand with the global insights team to manage and deliver an annual brand health insights report across key APAC countries
• This role will also require you to manage agency relationships, to ensure data and reports are delivered time

What You Need to Be Successful

• Bachelor’s Degree in eCommerce/Digital analytics, Information Systems, Computer Science or related field
• 2 or more years working experience in data analytics.
• Strong understanding of data mining, analysis and data visualisation.
• Excellent analytical and problem-solving skills with a keen attention to detail
• Strong communication and presentation skills to convey complex info to non-technical audiences
• Ability to work independently and as part of a team in a fast-paced environment.
• Familiar with eCommerce operating platforms, web analytics, UX-UI tools (Google Analytics, Mouseflow or similar), Proficient in Excel, Power BI or similar tools.

Bonus Points if You Have

• Prior experience in Consumer Electronics or FMCG industry with APAC experience.
• Ability to juggle between the details and big picture, manage multiple and competing projects and priorities.
• Passion for and genuine curiosity for innovation in the Digital / e-Commerce space and a passion for data analysis.
• Data/Insight-driven, strong sense of accountability and solution-oriented are key. Ability to draw insights from multiple data sources and formulate recommendations for improvements.
• Adaptable to ambiguity, changes and be at the forefront to lead change in both actions and behavior
• Ability to work independently and collaboratively in a culturally-diverse team environment, and understanding what it means to achieve success with others and through others
• Excellent communicator and able to perform well in a matrixed organization. Proven experience in managing and influencing a network of local senior managers and managers in a cross functional team.

What Makes You Eligible

• Successfully complete a background investigation as a condition of employment.

What We Offer

• Flexible work environment
• Access to employee discounts on world-class Harman products (JBL, HARMAN Kardon, AKG, etc.)
• Extensive training opportunities through our own HARMAN University
• “Be Brilliant” employee recognition and rewards program
• An inclusive and diverse work environment that fosters and encourages professional and personal development.

Responsibilities

• Design and build scalable data pipelines to process large volumes of structured and unstructured data
• Develop and optimize ETL work flows using modern data processing frameworks
• Work with large datasets to ensure data quality, integrity, and performance
• Write efficient and optimized SQL queries for data transformation and analysis
• Collaborate with cross-functional teams to support reporting and analytics requirements
• Troubleshoot data issues, performance bottlenecks, and pipeline failures
• Contribute to best practices in data engineering and continuous improvement initiatives

Required Skills & Experience

• 5+ years of experience in Data Engineering or related fields
• Strong SQL fundamentals (data transformation, query optimization, working with large datasets)
• Hands-on experience withPython and/or Spark (PySpark preferred)
• Experience building and maintaining ETL/data pipelines
• Exposure to cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• Understanding of data modelling and data engineering best practices
• Experience working with large-scale or high-volume data environments

Ikas International (Asia) Pte Ltd

“Sanderson-iKas” is the brand name for iKasInternational (Asia) Pte Ltd

EA Licence No: 16S8086 | EA Registration No. R1988468

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

Job Summary

We are looking for a detail-oriented and reliable Data Entry Executive to join our team. The ideal candidate will be responsible for accurately inputting, updating, and maintaining data in company systems while ensuring high levels of accuracy and efficiency.

Responsibilities

• Enter, update, and maintain data accurately in internal databases and company systems to support operational needs
• Verify data entries for accuracy and completeness to ensure data integrity
• Review and correct data discrepancies to maintain reliable records
• Maintain confidentiality of sensitive information in compliance with company policies
• Generate reports and retrieve data promptly as requested by team members or management
• Organize and maintain digital and physical records to facilitate easy access and retrieval
• Support administrative tasks as needed to contribute to smooth office operations
• Meet deadlines consistently by managing time effectively and prioritizing tasks
• Follow instructions carefully and demonstrate willingness to learn new processes and tools

Preferred competencies and qualifications

• Basic computer literacy, including typing skills and familiarity with Microsoft Excel or similar tools
• Attention to detail to ensure high accuracy in data handling
• Responsible work attitude and ability to meet deadlines

Other Information

• Job Type: Full-time
• Working Hours: Monday to Friday, 9:00 AM – 5:00 PM
• Salary: Competitive salary package
• Benefits include training for new hires, a friendly and supportive work environment, and opportunities for growth and development

Job Summary

You will maintain accurate data inputs into the company database by organizing, updating, filing, and scanning documents. You will assist with internal document distribution and perform data entry for invoices, bills, and service reports while supporting office administrative tasks.

Responsibilities

• Organize, update, file, and scan documents to maintain accurate records
• Assist in internal distribution of documents, including stamping, photocopying, and scanning
• Prepare and enter data for invoices, bills, and service reports to ensure timely processing
• Regularly update and maintain existing data records for accuracy and completeness
• Perform office administrative and clerical tasks to support daily operations
• Handle ad-hoc duties as assigned to meet team and organizational needs
• Maintain confidentiality and securely handle sensitive information
• Use data entry software, Microsoft Office applications (Excel, Word), and Cloud-based applications effectively
• Manage time and tasks efficiently to meet deadlines and support team goals
• Collaborate reliably as a self-motivated team player

Other Information

• Working hours: Monday - Friday, 8:30am - 6:00pm
• Flexi time arrangement available
• Work Location: Kaki Bukit
• In Heatology, we are committed to creating an inclusive environment for all employees.

Responsibilities

• Perform statistical and performance-related analysis with validation checks
• Develop dashboards/reports in Power BI or Qlik
• Support ETL processes and manage data
• Gather and translate business requirements into data deliverables
• Undertake any other ad hoc duties as assigned

Requirements

• Minimum 2 to 3 years of experience in UAT/Business Analysis/Data functions
• Experienced in Data analysis, business analysis

Interested applicants please email your resume to meganng@recruitexpress.com.sg
Megan Ng Su Ting (CEI No.: R23115059)
Recruit Express Pte Ltd
EA Licence No: 99C4599

*** We regret that only shortlisted candidates will be contacted.

About our group:

Seagate Research Group (SRG) conducts research to transform Seagate’s considerable technical expertise, innovation, and manufacturing excellence to develop innovative technologies for the rapidly growing datasphere. 

SRG - Data Trust (DT) Vector focuses on increasing security & privacy capabilities to anchor Seagate as the industry leader of trustworthy storage solutions. 

Currently, the DT team is seeking a candidate to research exciting emerging cryptographical algorithms, protocol and/or security technologies. This position offers a variety of opportunities to prototype, experiment, and benchmark innovative ideas and concepts in projects.  

About the role - you will:

As a Data Trust Security Researcher, you will collaborate with a team of researchers and engineers to explore and evaluate next‑generation security technologies. In this role, you will:

Prototype and evaluate cryptographic algorithms, including Post‑Quantum Cryptography (PQC) and conventional cryptography

Assess and validate security protocols for embedded and resource‑constrained environments

Explore memory‑safe programming languages for secure embedded implementations

Research the evolving threat landscape and identify applicable mitigation techniques

Work with Seagate Research teams on topics such as cryptography, product security, and data security

Conduct performance benchmarking, robustness analysis, and experimental validation of security techniques

Contribute to proof‑of‑concepts and experimental platforms involving cryptography, hardware trust, or secure embedded systems

About you:

We’re Looking for Someone Who Is:

Knowledgeable in cryptography, security standards, and protocols

Knowledgeable with memory‑safe languages

A collaborative team player with a proactive, learning‑oriented mindset

Able to clearly articulate technical concepts to both technical and cross‑functional audiences

Your experience includes:

PHD in Cryptology , mathematics or any relevant fields.

Implementing or designing cryptographic algorithms

Applying or researching Post‑Quantum Cryptography (PQC)

Software development

Working with embedded systems programming and debugging security-related projects an advantage

Experience with biometric security systems is an advantage

Development experience in Linux environments

FPGA development or hardware‑accelerated implementations for cryptography or security projects

DSBJ is a leading worldwide technology partner providing critical components for IoT intelligence, with a special focus on Telecommunication Equipment and Metal Precision, LED technologies and Interconnect solutions. Technological innovation is in the DNA of entire organization and is also the cornerstone of DSBJ’s success. With cutting-edge production facilities and advanced technology, we constantly deliver state-of-the-art products and quality services. Towards this, DSBJ has established the AI COE team to fully incorporate Big data and Artificial Intelligence into strategic roadmap and enable digital transformation and smart manufacturing/engineering initiatives.

As the Senior / Principal Data Scientist specializing in Smart Engineering, she/he will apply advanced analytics—including machine learning, generative AI, and optimization—within engineering and design domains to convert complex engineering data into actionable insights that drive faster, higher-quality decisions. This role will design, build, validate, and deploy analytical prototypes, taking solutions from concept through production. Working closely with experts in big data, software engineering, and advanced analytics, she/he will also contribute to the development of scalable, cutting-edge analytics capabilities that support evolving business requirements and product innovation.

Main Responsibilities:

• Design and develop algorithms to parse, interpret, and analyse engineering data, inclusive of structured data, technical PDF, 2D drawing, 3D CAD models
• Apply machine learning, deep learning, and geometric modelling algorithms to engineering problems, including drawing understanding (symbol, dimension, feature recognition), CAD feature classification and semantic labelling, part similarity, clustering, and reuse detection
• Collaborate with software and data engineers to productionize models and deploy them as services or internal platforms
• Work closely with mechanical engineers, manufacturing engineers, and process design engineers to translate domain knowledge into AI features
• Communicate advanced analytics solutions to non-technical stakeholders, translating technical insights into clear business value to drive understanding and adoption
• Advise management and stakeholders on best practices for applying advanced analytics to engineering problems through exploration, benchmarking, and evidence-based evaluation
• Work with project manager to break down overall work into manageable and tractable tasks while satisfying time, cost and resource constraints.
• Perform progress check, solution review and documentation on regular basis.

Job Requirements:

• At least Bachelor degree in Mechanical Engineering, Data Science, Applied Mathematics, Statistics, Computing Science. A post-graduate degree is an advantage
• Minimum of 5 years of work experience in academic or business context to apply Data Science, Machine learning, Deep Learning, Optimization to engineering problem
• Profound knowledge (e.g. application, limitation, challenges) of advanced analytics (e.g. rule-based, deep learning, LLM) in analysing the engineering data (e.g. PDF, DXF, STEP, ODB++)
• Hands-on modelling/coding experience using various tools/libraries (e.g. AutoGluon, Ultralytics, Gurobi, TensorFlow, PyTorch, SciKit-Learn, Open CASCADE)
• Proficiency in programming language (e.g. Python, Java) and database querying (e.g. SQL)
• Self-motivated, proactive, independent learner who is willing to learn, experiment, and share knowledge with broader AI COE team to build innovative culture.
• Proficiency in both English and Chinese, to liaise with the Chinese-speaking associates in China Headquarter office.
• Domain knowledge in engineering design, industrial automation and engineering software is highly valued
• Experience in feature recognition, design intent extraction, or DFM/DFA automation is highly valued

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

The Data Scientist works closely with business stakeholders to uncover challenges, refine use cases, and design analytical solutions that drive measurable outcomes. This role spans the entire data science lifecycle—problem framing, data preparation, modelling, evaluation, communication of insights, and enabling adoption through compellingvisualizations and decision‑support tools.

Key Responsibilities

1. Problem Definition & StakeholderEngagement

• Facilitate discussions with business users to understand their pain points, clarify objectives, and convert them into analytically sound data science problem statements.
• Collaborate with stakeholders throughout the project to refine hypotheses, validate findings, and align on priorities.
• Manage expectations and timelines while balancing analytical depth with business needs.

2. Data Preparation & FeatureEngineering

• Conduct data cleaning, preprocessing, and transformation for both structured and unstructured data to ensure high data quality.
• Perform feature engineering to extract meaningful attributes that enhance model performance.
• Identify relevant datasets and integrate multiple data sources to support analytical work.

3. Analytical Modelling &Experimentation

• Explore data using statistical techniques to uncover trends, patterns, and relationships.
• Build machine learning models for prediction, classification, clustering, or other analytical tasks as required by the use case.
• Evaluate model performance and iterate based on stakeholder feedback and performance metrics.

4. Insights Delivery & Communication

• Translate analytical results into actionable recommendations that stakeholders can apply to drive decisions or business improvements.
• Develop clear, compelling narratives that explain insights and model behaviours in an accessible manner.
• Present analysis with well‑designed visuals, dashboards, and interactive tools that support storytelling and data exploration.

5. Visualisation & User‑Facing Tools

• Design dashboards and interactive visualizations to facilitate self‑service analytics and real‑time data monitoring.
• Apply strong visualization principles to ensure insights are intuitive and impactful.
• Build and deploy customised visual interfaces tightly integrated with underlying data systems.

6. Deployment, Monitoring &Continuous Improvement

• Support model deployment into production environments and collaborate with engineering teams to operationalize models.
• Monitor model performance over time and recommend enhancements as required.
• Contribute to agile project workstreams and participate in ceremonies such as stand‑ups, reviews, and retrospectives.

Required Skills & Competencies

Analytical & Technical Skills

• Ability to convert business challenges into analytical questions and identify appropriate data sources.
• Proficiency in writing data preparation and analysis scripts using tools such as Python, R, SQL, pandas, or equivalent.
• Strong foundation in descriptive statistics, probability, data exploration, and hypothesis testing.
• Skilled in building and validating machine learning models, using modern techniques and frameworks.
• Solid understanding of system design concepts, data structures, and algorithms.

Data Visualization & Storytelling

• Strong command of data visualization principles and tools.
• Capable of developing dashboards and interactive visual tools (e.g., using Tableau, Power BI, Plotly, or custom frameworks).
• Ability to communicate analytical insights through structured storytelling tailored for decision‑makers.

Data Engineering Familiarity

• Understanding of data modelling, data access patterns, and data storage structures such as data lakes, data marts, and data warehouses.
• Familiarity with REST APIs, web protocols, and data extraction via web scraping technologies.
• Comfortable working with big data frameworks (e.g., Spark, Hadoop, Kafka) when required for large-scale processing.

Soft Skills

• Strong communication skills, both written and verbal, with the ability to influence non‑technical audiences.
• Effective stakeholder management and experience working in iterative cycles with feedback loops.
• Organized, self-driven, and able to manage multiple priorities in an agile environment.

Experience Requirements

• Proven experience conducting end‑to‑end data science projects—from scoping and data preparation to modelling and deployment.
• Experience collaborating with diverse teams and managing stakeholders across business and technical functions.
• Prior experience in agile project management or participating in agile delivery teams.

Qualifications

• Degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Mathematics, Information Systems, or related fields.
• Experience with production‑grade machine learning workflows is an advantage.

Please send your details in MS Word format to john@oaktree.com.sg:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Reporting to the Senior Treasury Manager, this role is part of the Group Treasury team and supports a broad range of treasury functions, including liquidity management, foreign exchange (FX), cash investments, funding, investor relations (IR), and insurance management across the SMRT Group. This role places a stronger emphasis on process automation, data analytics, and digital transformation initiatives within treasury operations.

Responsibilities

You will assist in the following treasury operations & insurance management:

•    Support day-to-day treasury operations, including liquidity management, FX, cash investments, and funding activities.
•    Provide support for critical treasury operations during teammates’ absences to ensure business continuity with timely escalation to the Senior Treasury Manager as needed.
•    Analyse and evaluate current treasury processes and KPIs to identify opportunities for streamlining and automation.
•    Proactively identify opportunities for digital enhancement and process improvements.
•    Enhance and optimize existing spreadsheets, and develop dashboards using Power BI and other tools.
•    Proactively identify opportunities for digital enhancement and process improvements.
•    Drive system improvements within the Treasury Management System (TMS) to improve efficiency and data visibility.
•    Collaborate and assist the Manager, Finance Systems & Digitalisation with treasury automation & AI initiatives and provide adhoc data analysis support and management reporting to meet stakeholder needs.
•    Support audit-related activities, including data preparation, documentation, and coordination.
•    Participate in and support ad hoc treasury and finance projects as required.
•    Provide administrative support, including documentation and filing, where necessary.

Qualifications & Work Experience

•    Bachelor’s degree in Finance, Business, Accountancy, Engineering, Computer Science or Data Science.
•    At least 4 years of relevant experience in Treasury, preferably in listed companies in Singapore.
•    Demonstrated experience in data science, advanced analytics, or business intelligence roles, with a proven track record of applying these skills.
•    A Master's degree or relevant certifications in FinTech, Business Analytics, or Financial Modeling is a strong plus.

Skills

Technical skills include:
•    High level of financial literacy, numeric and analytical capability with good knowledge of financial statements and markets
•    Proficiency in Excel, Power Automate, Power BI, Power Query including advanced functions, VBA and Bloomberg
•    Strong proficiency in SQL for data extraction and manipulation.
•    Working knowledge of Python or R for statistical analysis and scripting automation.
•    Extensive experience with TMS, including system administration, system design, and implementation support.
•    Understanding of Robotic Process Automation (RPA) tools and methodologies for automating treasury tasks.

Generic skills include:
•    Good interpersonal and communication skills
•    Highly driven and ability to thrive in a fast-paced and dynamic environment
•    Good time management skills to prioritize and meet tight deadlines
 

• Perform installation, racking, and de-racking of servers, network devices, and IT equipment in data centre environments

• Execute structured cable management, including routing, labelling, and documentation of copper and fibre cabling

• Provide smart hands support for remote engineers, including hardware troubleshooting, patching, and basic configuration

• Monitor and maintain data centre infrastructure to ensure optimal performance and uptime

• Conduct hardware checks, diagnostics, and component replacements (e.g., disks, power supplies)

• Maintain accurate asset inventory, rack layouts, and cable documentation

• Support power-up, connectivity testing, and verification of newly installed equipment

• Adhere to data centre standards, safety procedures, and change management processes

Job Requirements

• Trained / Certified in Information Technology, Telecommunication/Computer Engineering or related fields
• Hands-on experience in Data Center operations, familiarity with facility management, server hardware and network equipment
• Familiar with Windows servers and operating systems
• Familiar with setup and configuration of the server
• Work effectively with minimal direction or supervision for day-to-day tasks and communicate outcomes
• Fast-learning ability, willing to pick up new skills and technologies

· Bachelor's or Technical Degree in Computer Science, IS, or IT is preferred

·  At least 8 years of relevant working experience in Java/J2EE development

· At least 2 years of experience in big data technology development like the Hadoop platform.

·  Good understanding & working knowledge with Agile/Scrum

·   Hands-on experience of end-to-end design and implementation of complex IT systems

· Must have experience in:

o Java/J2EE, Spring, Spring Boot, RESTFUL Webservices.

o Strong knowledge in Core Java (Java 8+).

o   Experience in Kafka messaging system.

o   Big Data framework like Storm, Hadoop, Hdfs, Hbase, Ignite.

o   SQL & No-SQL database like PostgreSQL, MySQL, Hbase, MongoDB.

o   Knowledge of Flink,Redis, s3, MongoDB is an advantage.

o   Tools – Maven, GIT CICD, Cucumber, Kibana.

o   Knowledge of containerization technologies like Docker & Kubernetes.

o   Solution design using proven patterns, awareness of anti-patterns, performance benchmarking.

o   TDD driven development mindset with strong skills in Junit, Mockito and other Unit testing frameworks.

o   Knowledge on DevOps Practices.

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Department Overview

The Data Lake house Section provides the foundation for Rakuten Digital Twin strategy enabling seamless, real-time understanding of customers across services. 
We manage one of the world's largest first-party datasets, developing and operating products like Customer DNA (CDNA) and Deep CDNA, which unify data across business units. 

As a Senior Data Engineer, you will play a key role in the architecture, development, and optimization of Rakuten's core data platform. 
You will lead engineering efforts to design scalable, reliable, and secure data pipelines and collaborate closely with global teams in Japan and India.

Responsibilities:

- Lead the design, development, and operation of scalable and reliable data pipelines supporting Customer DNA and related data products.
   
- Drive best practices in data engineering, including performance tuning, automation, and observability.
   
- Collaborate with product managers, data scientists, and analytics engineers to deliver end-to-end solutions.
   
- Oversee data ingestion, transformation, and quality control processes to ensure trusted data availability.
   
- Design and optimize data architectures leveraging Google Cloud Platform(GCP) services (e.g., Big Query, Dataflow, Pub/Sub, Cloud Storage).
   
- Mentor team members, promote engineering excellence, and contribute to a culture of learning and collaboration.
   
- Ensure compliance with data governance, security, and privacy standards across systems.
   
Qualifications:

- 5+ years of experience building and operating big data platforms for analytics or business operations.
   
- 2+ years of experience managing large-scale, real-time or unstructured datasystems in distributed environments.
   
- Proficiency in Python programming and related libraries (e.g., Pandas, NumPy, PySpark, Pydantic).
   
- Strong hands-on experience with Google Cloud Platform (GCP), including Big Query, Cloud Storage, Cloud Functions, Dataflow, Pub/Sub, and IAM.
   
- Experience with Infrastructure-as-Code (IaC), CI/CD pipelines, and cloud resource management.
   
- Experience with **containerization (Docker)** and **orchestration (Kubernetes)** in cloud-native environments.
   
- Strong understanding of **SQL and NoSQL** data stores, with experience inlarge-scale distributed systems.
   
- Proven ability to identify and solve complex data engineering challenges, ensuring system reliability and scalability.
   
- Excellent communication and leadership skills, with experience guidingcross-functional or remote teams.
   
- Business-level proficiency in English.

Good to have:

- Experience designing Python-based data engineering frameworks ensuring scalability, performance, and maintainability.
   
- Experience developing and maintaining reusable Python packages and libraries for data pipelines.
   
- Familiarity with API-based data integration and micro service architectures.
   
- Experience implementing cloud-native data solutions to optimize cost and performance.
   
- Proven ability to balance hands-on technical contribution with strategic leadership.
   
- Ability to mentor engineers and promote best practices in software craftsmanship.
   
Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.
   

Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops

Job Scope

• Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration.

• Designing and developing reports and dashboards in PowerBI,setting up access control with row level security DAX query experience.

• Establishing connections to source data systems such as on-prem databases, IOT devices, APIs.

• Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements.

• Design, development of relevant data pipelines using pyspark, copy data activities for batch ingestion.

• Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project.

• Deployment of pipeline artifacts from one environment to the other using Azure Devops.

Skills & Experience

• Bachelor’s Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development.

• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up.

• 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control.

• Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python.

• Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)

• Team player with good interpersonal, communication, and problem-solving skills.

• Preferred to have Devops expertise.

Working hours :

8:30am to 6pm (Monday to Friday) onsite, no hybrid option.

Key Responsibilities & Accountabilities 

• Pre-Sales, Master Planning & Visualization (30%): Develop site master plans, building layouts, and high-quality renderings for client RFP responses; collaborate with Sales to define the "aesthetic and functional" value proposition of a site. 

• Architectural Design & Space Optimization; High Level Civil & Structural Calculations (25%): Lead the design of building envelopes, logistics, and vertical transportation; perform GFA/CFA calculations and neighbourhood impact analyses (GIS) to maximize site utility. Provide simple civil and structural estimations for space planning and cost estimation purposes.  

• Cross-Functional Solution Integration (15%): Follow closely to the technical solution as developed by the Lead Mechanical and Lead Electrical engineers. Proactively ask questions and ensure understanding of the tasks as data center design are very dynamic. Laise with other departments to understand their aesthetic, design and documentation requirements. Partner with the Product Team to integrate MEP and structural modules into the architectural framework; coordinate with Internal Procurement for facade and material selection. 

• Technical Oversight & Delivery Support (5%): Provide ongoing support to the Delivery Team to resolve architectural site issues; review submissions from local Architects of Record (AOR) to ensure alignment with IntraTrak standards. Review vendor samples, finish boards, etc.   

• Compliance & Standards Governance (10%): Develop and maintain company architectural standards, including branding, signage, and "Ways of Working" (WoW) minimalist aesthetics. 

• Business Planning Support (15%): Assist in the production of phasing plans and budgetary estimates for architectural and civil works. 
  

Qualifications & Requirements 

• Education: Bachelor’s or Master’s degree in Architecture. 

• Experience: Minimum of 8 years of professional experience in Architecture, with a preferred focus on industrial or mission-critical facilities. 

• Certifications/Licenses: Licensed Architect by a recognized body (e.g., AIA, RIBA, BOA Singapore, or HKIA) is required. 

• Technical Skills: Expert proficiency in Revit, AutoCAD, BIM, and InDesign; strong capability in architectural rendering and sales-focused sketching. 

• Knowledge: Have a reasonable technical and operational understanding of the needs and requirements of other trades and disciplines. 

  - Discipline 

  * Lead Mechanical 

  * Lead Electrical 

  - Trades 

  * Facilities and Maintenance 

  * Operations and Logistics 

• Languages: Written and oral fluency in English is required; fluency in Chinese is highly desirable for regional project coordination. Additional language proficiencies is also desirable  

• Traits & Behaviors: Minimalist design philosophy ("Less is More"); ability to thrive in a fast-paced, pre-sales driven environment; strong spatial reasoning and logic-driven problem solving. 

Responsibilities:

• Collaborate with data scientists, coders, programmers and other stakeholders
• Creating and managing the AI development process and general infrastructure of a product
• Doing statistical analysis and interpreting findings
• Automating critical tasks and procedures for a data science team
• Creating data transformation infrastructure
• Developing AI models communicating the utility of the AI models they generate to a diverse range of employees inside the organisation, including product managers and management executives
• Exposing machine learning models via APIs with which other apps may interact
• Work on API and integrate systems.

Requirement:

• Master / Bachelor’s degree in computer science, computer engineering, or relevant field.
• A minimum of 4+ years’ experience in a similar role.
• Strong knowledge of Datawarehouse / database / Cloud systems and data mining would be preferred.
• Excellent organizational and analytical abilities.

Interested applicants, Please send your updated resume in Word format to hres@itcspl.com

Please indicate Job Code "Data Engineer - 101" on email subject

We regret that only shortlisted candidates will be notified.

Bacalso John Bryan Bedayo (Reg No. R1106648)

IT Consultancy & Services Pte Ltd

EA No: 92C5311

Please visit www.itcspl.com to learn more information about ITC

JOB OVERVIEW:

The Data Scientist (AI Engineer) serves as the critical technical bridge between high-level business strategy and scalable AI production. This role is dedicated to accelerating demand creation by translating complex client challenges into feasible, high-impact AI/ML prototypes and Proof of Concepts (PoCs).

By balancing technical rigor with strategic communication, the incumbent assesses data maturity, designs agile solutions using both traditional and Generative AI, and ensures that all innovations are architecturally sound and ready for production handover. Ultimately, this role drives organizational growth by de-risking AI investments and demonstrating the tangible technical value of emerging technologies.

Core Focus Areas

• Technical Translation: Converting business "pain points" into rigorous technical requirements and feasible AI architectures.

• Rapid Innovation: Designing and iterating on interactive prototypes that showcase the "art of the possible" while adhering to vetted Technology Readiness Level (TRL) standards.

• Strategic Advisory: Evaluating client data infrastructure and providing technical roadmaps to bridge the gap between current capabilities and AI readiness.

• Seamless Integration: Partnering with Production and Enablement leads to ensure prototypes are scalable, documented, and transitioned without technical debt.

• Technology Scouting: Researching and applying cutting-edge tools from the internal Tech Radar to solve real-world client problems.

DUTIES AND RESPONSIBILITIES:

Technical Requirements Elicitation & Analysis:

• Collaborate with AI/ML Business Analysts and clients to deeply understand their existing technical landscape, data infrastructure, and specific operational challenges.

• Translate high-level business needs into technical requirements for AI/ML solutions, identifying necessary data inputs, system integrations, and potential technical constraints.

• Assess the technical feasibility of proposed AI/ML use cases, ensuring alignment with the organization’s vetted tech stack and TRL standards, given the client's current data capabilities and technology stack.

AI/ML Solution Conceptualization & Prototyping:

• Design and develop rapid, interactive prototypes or proof-of-concepts (PoCs) using appropriate AI/ML techniques (both traditional ML and cutting-edge AI like Generative AI).

• Demonstrate the functionality and potential business impact of AI/ML solutions through compelling technical demonstrations and visualizations.

• Iterate rapidly on prototypes based on client feedback, showcasing agility and responsiveness.

Technical Communication & Value Articulation:

• Simplify complex AI/ML concepts, algorithms, and technical architectures into understandable terms for non-technical business stakeholders.

• Clearly articulate the technical value proposition of proposed solutions, explaining how the AI/ML will work and why it is the right approach for the client's problem.

• Present technical findings, prototype results, and architectural considerations to clients and internal teams.

Organizational Data Capability Assessment (Technical):

• Conduct technical assessments of client data maturity, including data quality, accessibility, governance, and existing infrastructure.

• Advise clients on technical prerequisites and potential roadmaps for enhancing their data capabilities to support AI/ML initiatives.

Emerging Technology Research & Application:

• Actively research and evaluate new AI/ML technologies, tools, and frameworks (e.g., specific algorithms, cloud AI services, MLOps tools) relevant to demand creation and prototyping.

• Support the AI Solution Enablement Lead by exploring specific application-layer use cases for technologies already on the internal Tech Radar. Provide field feedback on the performance of vetted tools in client prototypes

• Identify how emerging technical capabilities can be applied to solve client problems and create new service offerings.

• Contribute technical insights to market exploration and strategic planning.

Cross-Functional Collaboration & Handover:

• Work in close partnership with the Data Science / AI Production Team from the earliest stages to ensure that prototyped solutions are designed with production scalability and maintainability in mind.

• Collaborate primarily with the AI Solution Enablement Lead to transition validated TRL 3 prototypes into the hardening phase. Ensure all initial technical elicitation is documented according to Enablement Quality Gate standards to prevent technical debt during handover

• Facilitate smooth technical handovers of validated concepts, prototypes, and initial architectural considerations to the production team, minimizing rework and ensuring continuity.

• Provide technical context and support during the transition phase to ensure the production team has a comprehensive understanding of the solution's intent and design.

• Problem Solving & Innovation:

• Apply strong analytical and problem-solving skills to technical challenges encountered during the demand creation and prototyping phases.

• Propose innovative technical approaches to address client needs and differentiate our solutions.

QUALIFICATIONS AND EXPERIENCES:

• Minimum Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. Master's or Ph.D. preferred.

• At least 5+ years of progressive experience in AI/ML solution design, data science, or AI engineering, with a significant portion in a client-facing or consulting capacity.

• Proven experience in designing, developing, and deploying functional AI/ML prototypes that demonstrate business value and are engineered for production.

• Expert proficiency in Python and extensive experience with core AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).

• Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain, for designing and prototyping novel applications.

• Strong practical experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions).

• Proficiency with Docker for containerization and a foundational understanding of container orchestration (e.g., Kubernetes concepts for GKE).

• Solid understanding of MLOps principles for reproducibility, experiment tracking (e.g., MLflow, Vertex AI ML Metadata/Model Registry), and model versioning.

• High-level expertise in data governance frameworks, data quality assessment (including tools/libraries like Great Expectations), metadata management (e.g., Google Cloud Data Catalog), and data architecture principles.

• Strong expertise in distributed computing and parallel processing techniques is vital for handling large-scale AI workloads. 

• A proven track record of innovations and executions in deep learning, demonstrated through shipping products or first-author publications at leading AI conferences, is a strong differentiator.

• Experience in the container shipping industry or related logistics/supply chain domains is highly advantageous.

• Excellent presentation, documentation, and stakeholder management skills.

• Experience Requirements:
• Must have QA/Testing Experience.
• Data Testing Experience specifically in Big Data, Hadoop, or Cloud Data Warehouse environments.
• Databricks Experience of testing pipelines within a Databricks environment.
• Automation Focus: Proven track record of moving from manual SQL checks to automated Python-based testing frameworks.
• Mandatory: Databricks Certified Data Engineer Associate (at minimum).
• Preferred: ISTQB Foundation or Advanced Level (Test Automation Engineer).
• Core Technical Skills:
• Data Validation & Frameworks
• Great Expectations / Pandera: Proficiency in using Python-based libraries to define data "contracts" and automated validation suites.
• DLT Expectations: Deep understanding of Delta Live Tables (DLT) expectations (Fail, Drop, Quarantining bad records).
• Advanced SQL: Expert-level SQL for complex data reconciliation, identifying duplicates, and null-value analysis across billions of records.
• Python for QA (PySpark):
• Pytest-Spark: Experience using pytest to write unit tests for PySpark transformations and logic.
• Notebook Testing: Ability to write automated test notebooks that validate Medallion Architecture transitions (Bronze to Silver, Silver to Gold).
• Data Reconciliation: Building Python scripts to perform "source-to-target" counts and checksums across distributed file systems.
• Performance & Integration Testing:
• Scalability Testing: Ability to validate that data pipelines meet performance SLAs when data volume spikes.
• End-to-End Orchestration Testing: Testing the reliability of Databricks Workflows and handling of job failures/retries.
• Schema Evolution: Testing how pipelines handle upstream schema changes without breaking downstream Gold tables.
• Governance & Security Testing:
• Unity Catalog Validation: Testing Row-Level Security (RLS) and Column-Level Masking to ensure unauthorized users cannot see sensitive data.
• Data Lineage: Validating that data lineage in Unity Catalog correctly reflects the movement of data across the Lakehouse.

CLC is an investment management firm with offices in Singapore and Hong Kong. Applicants are invited to apply for a data analyst position based in Singapore. The position provides the opportunity for global exposure within a supportive and performance-driven team environment.

Key responsibilities:

• Work with data sets across various data sources and conduct data analysis to identify insights
• Build and maintain models, databases and data analytics tools
• Conduct analysis and research related to companies, industries, economies and financial markets
• Ensure quality of data and enhancements
• Produce internal reports and presentations

Key requirements:

• Strong academic background with degree in finance, economics, mathematics, statistics, computer science, engineering or other quantitative discipline
• Experience in data analytics, quantitative analysis or statistical computing well-regarded
• Relevant industry qualification well-regarded

• Excellent analytical, modelling and numerical skills
• Driven and passionate about data analytics and research
• Reliable, accurate and detail-oriented with strong work ethic
• High professional standards and integrity
• Good written and verbal communication skills

Competitive remuneration commensurate with experience. Qualified applicants should submit their resume and a cover letter.

Only shortlisted candidates will be notified. All data will be used for recruitment purposes only.

JOB SUMMARY:

We're looking for a Data Engineer with strong software engineering fundamentals to build and scale our data infrastructure. You'll design high-performance systems that handle massive data volumes and high-concurrency workloads, optimize query engines for speed and reliability, and architect robust data pipelines. This role is for engineers who love solving distributed systems challenges and building production-grade infrastructure that processes terabytes of data daily.

This role is open to fresh graduates and early-career professionals (1–2 years of experience) who are eager to grow their skills in building scalable data systems.

Whether you’re just starting out or already have some experience, this is a great opportunity to develop your data engineering skills and contribute to impactful, data-driven decision-making.

KEY RESPONSIBILITIES:

• Design, develop and maintain data infrastructures, such as computation, query engine and services which can support massive data and high concurrency requests
• Clean, transform, and optimize raw data for storage and analysis
• Work with structured and unstructured data from various sources (databases, APIs, files, etc.)
• Plan data warehouse structure to ensure data quality, accuracy, consistency, and availability
• Optimise for the performance of the data pipeline and service to downstream
• Collaborate with business analysts, data scientists, and backend teams to provide appropriate tools
• Document data models, processes, and technical decisions

What You'll Learn:

• Real-world data engineering with modern tools like Apache Spark/Flink, Kafka, Airflow
• Working with SQL/NoSQL databases, data lakes, and cloud platforms (AWS, GCP, Azure)
• Building batch and streaming data pipelines
• Data modeling, warehousing
• Orchestration and monitoring of data workflows
• Developing high availability services
• Best practices in data governance, privacy, and security
• Collaboration in agile, cross-functional teams with product, engineering, and analytics

JOB REQUIREMENTS: