Total 786 Information Technology job vacancies

The Data Center Facilities Engineer is a primarily administrative and coordination‑focused role supporting both local and data center operations. This position acts as an on‑site coordination point between operations stakeholders, facilities teams and network resolver teams, to ensure activities are executed smoothly, accurately tracked, and fully documented during live operations.

While the role is not a primary break‑fix position, it requires both basic DC operations and networking knowledge to support coordination, validation, and observation of general DC and network‑related activities. Hands‑on interaction with network equipment is expected at a foundational level.

Key Responsibilities:

Operations Coordination & Administration

• Coordinate with network, facilities, and other resolver teams during incidents, maintenance, and change activities.
• Track and monitor operational activities to ensure tasks are executed according to approved procedures.
• Maintain accurate and timely operational records, including:
• Incident and service request logs, Change and maintenance records, Shift handover documentation, Escalation and resolution updates
• Provide clear status updates and facilitate escalations during ongoing operations.
• Respond and deal with emergency events in daily operation.

Facilities & Environment Monitoring

• Monitor data center facilities systems including power, cooling, temperature, humidity, and alarms via the Building Management System (BMS).
• Acknowledge, log, and coordinate responses to routine facilities and environmental alerts.
• Support emergency events by coordinating response teams, documenting actions, and ensuring follow‑up activities are completed.

Network Resident Technician Support

• Provide basic network support assistance such as:
• Visual inspection of network equipment and indicators, Verifying port labels, cabling connections, and link status, Supporting guided reboots or checks under instruction from resolver teams
• Act as an on‑site liaison for remote network engineers, ensuring work is correctly executed and documented.
• Support rack‑and‑stack activities for network equipment under approved procedures.

On‑Site Access & Compliance

• Escort and supervise vendors, visitors, and technicians working within the data center.
• Witness and document work performed on facilities and network equipment.
• Ensure compliance with safety standards, regulatory requirements, and company policies.
• Support physical security processes including access control, key management, and visitor logging.

Record Keeping & Asset Management

• Maintain and update operational, maintenance, inventory, and asset records.
• Support inventory tracking for facilities and network equipment (e.g., DCIM or asset tools).
• Ensure documentation accuracy to support audits and operational reviews.

Other Bank Compliance

• Ensure adherence to bank compliance that will be provided as part of the training.

 Required Qualifications

• Minimum 1 year experience in data center operations, facilities support, or resident technician roles.
• Diploma or Degree in Electrical Engineering, Mechanical Engineering, IT, Computer Science, Networking, or a related field.
• Strong administrative and coordination skills, with experience managing tickets, records, and operational documentation.
• Basic networking knowledge, including:
• Understanding of network devices (switches, routers, firewalls), Structured cabling concepts and patching, Rack layouts and port identification
• Familiarity with data center environments, including power, cooling, fire protection, temperature, and humidity control.
• Proficient in Microsoft Office (Excel, Word, PowerPoint).
• Good command of English for operational communication and documentation.
• Willingness to work rotating shifts, including weekends and public holidays.

Good‑to‑Have / Advantageous Skills

• Hands‑on experience with network equipment installation, replacement, or troubleshooting.
• Experience with rack & stack for network devices.
• Exposure to structured cabling standards and labeling practices.
• Experience with DCIM or inventory tools (e.g., Nlyte).
• Familiarity with physical security operations in a data center environment.
• Local language proficiency is an advantage.

 Working Environment:

• There are 3 Shifts:

• Morning shift (M-F): 7:00AM to 4:00PM, Afternoon shift (M-F): 12:00NN to 9:00PM, Weekend Shift (Sat & Sun): 9:00AM to 6:00PM

  (Overtime is compensated)

Job Overview

We are seeking a skilled and motivated Data/AI Compliance Analyst to join our team. This is a dual-role position that combines data analysis, AI compliance coordination, and AI audit support.

The role will support both data-driven business improvement and the governance, tracking, and follow-up of AI compliance and audit-related actions across internal products and initiatives. The successful candidate will work closely with cross-functional teams to analyse data, improve reporting and operational visibility, and help ensure that AI-related systems, processes, and use cases are properly documented, monitored, and aligned with internal governance, compliance, and audit requirements.

As a Data/AI Compliance Analyst, you will bridge the gap between data, operations, business processes, and AI governance, helping the organisation turn information into actionable insight while strengthening accountability, control, and follow-through on AI risk and compliance matters.

Key Responsibilities

A. Data Analyst Responsibilities

• Analyse business processes and identify opportunities for optimisation through data-driven insights and reporting.

• Collaborate with stakeholders to define key performance indicators (KPIs), business goals, and reporting requirements.

• Conduct data analysis to derive actionable insights that support business decisions, operational improvements, and management reporting.

• Identify, analyse, and interpret trends or patterns in data sets related to business performance, operational issues, system performance, and user behaviour.

• Clean, transform, validate, and maintain data to ensure accuracy and consistency across reporting and analysis.

• Design and maintain dashboards, reports, and visualisations using BI tools such as Power BI and Tableau.

• Support exploratory data analysis to uncover insights and improve understanding of business and system performance.

• Work with product, development, and business teams to improve reporting structures, data visibility, and analytics processes.

• Prepare clear presentations, reports, and summaries of findings for technical and non-technical stakeholders.

• Participate in system and process improvement discussions to ensure alignment between analytics needs and business objectives.

B. Compliance Analyst Responsibilities

• Support the development and maintenance of registers, logs, and documentation related to AI use cases, risks, incidents, controls, and action items.

• Track and follow up on AI compliance, audit, and governance action items, ensuring owners are identified, timelines are monitored, and findings are closed in a timely manner.

• Support internal reviews, governance checks, and audit preparation for AI-related initiatives, including gathering evidence and maintaining organised supporting documentation and audit trails.

• Assist in monitoring adherence to AI governance frameworks, internal policies, and relevant standards or control requirements.

• Work with product, development, and business teams to ensure that AI solutions are supported by required documentation, testing records, issue tracking, and control evidence.

• Help identify compliance gaps, process weaknesses, and control improvement opportunities related to AI systems, workflows, and data handling practices.

• Support the preparation of compliance updates, audit status reports, management summaries, and governance materials.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Statistics, or a related discipline.

• Proven experience in data analysis, reporting, business systems analysis, or business intelligence.

• Strong understanding of business processes, reporting structures, and how data supports decision-making.

• Proficiency in tools such as Excel, SQL, Power BI, Tableau, Python, or similar analytics and reporting platforms.

• Experience in data wrangling, dashboard development, visualisation, and reporting.

• Strong analytical and problem-solving skills with attention to detail.

• Good written and verbal communication skills, with the ability to present findings clearly to both technical and non-technical stakeholders, and to prepare compliance updates, summaries, and status reports.

• Experience in maintaining trackers, registers, logs, action lists, and documentation for compliance or audit purposes.

• Strong organisational skills with the ability to manage multiple follow-ups, monitor action items, and ensure closure.

• Ability to work across teams to coordinate updates, gather evidence, and support governance and audit requirements.

• Proactive, disciplined, and able to drive accountability and follow-through across stakeholders.

• Exposure to AI compliance, AI governance, AI risk management, or AI audit practices will be an advantage.

• Experience in compliance tracking, audit coordination, governance support, risk tracking, or control documentation will be an advantage.

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

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.

- Proficiency in Japanese will be an advantage, as the role involves communication with Japanese-speaking stakeholders.

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.
   

Duties:

• Entered and verified high-volume process data from Batch Records into Global Data Mart (GDM) to support daily process monitoring.
• Handled special requests for data collection, completion, and verification with strong accuracy and turnaround time.
• Ensured data entry procedures and guidelines remained updated, maintaining 100% right-first-time accuracy.
• Managed and tracked workload to ensure all required process data was captured and entered on time, using existing tools for monitoring and reporting.
• Performed validation of new and updated GDM objects, supporting administrators to ensure compliance with procedures.
• Supported administration of new and legacy data collection systems.
• Created and maintained Webstatistica user accounts and access credentials.
• Collaborated with data users and analytics teams to troubleshoot data issues and improve system efficiency and user experience.
• Provided user support by understanding operational needs and resolving data entry-related analytics problems.
• Complied with facility training requirements and cGMP standards, ensuring timely completion of mandatory training.
• Performed additional duties as assigned by Supervisor/Manager.

Requirements:

• Min Dip/ Deg in any Science or Engineering

Janeve

wa.me/6588183965

OR

Email me at janeve.ng@recruitexpress.com.sg

EA Personnel : Janeve Ng Choy Tong

C.E.I: R25159176

Company Registration No: 99C4599

Recruit Express Pte Ltd

UC (UnityCatalog) Data Governance & Lineage Lead

·      Minimum 5+ years data platformsand Data Governance

·      3+ years Databricks and UC (mandatory)

KeyResponsibilities (R&R)

• Design and implement Databricks Unity Catalog (metastore, catalogs, schemas, RBAC, audit)
• Define and implement BYOL strategy for external lineage (ADF, ingestion frameworks, BI, ETL tools)
• Design metadata models for lineage (objects, relationships, directionality)
• Enable end‑to‑end lineage: Source → ADLS → Bronze/Silver/Gold → Consumption
• Integrate lineage with retry, rerun, reschedule, idempotency scenarios
• Ensure governance meets enterprise audit and compliance expectations
• Act as architecture SPOC for UC/BYOL with customers, Microsoft, Databricks

MandatorySkills (Must‑Have)

• Databricks Unity Catalog (hands‑on implementation)
• Databricks Lineage + BYOL concepts
• Azure Databricks (SQL, Spark)
• Azure Data Lake Gen2
• Entra ID / Azure AD (RBAC, group‑based access)

• Strong understanding of technical and operational lineage
• Metadata‑driven architecture mindset
• Ability to design lineage beyond Spark (external systems)

Good‑to‑Have Skills

• Lineage export/import experience from:
• Informatica (IDMC / PowerCenter)
• Power BI (dataset → report → semantic model lineage)
• ADF / orchestration frameworks
• Experience transforming lineage into JSON / metadata payloads
• Familiarity with API‑based metadata ingestion
• Experience reconciling lineage across multiple tools into a single catalog
• Optional Exposure to Purview / Collibra / Alation (conceptual mapping only)

Responsibilities:

Validate and reconcile data to ensure accuracy and completeness, and track submissions

Liaise with vendors and stakeholders to resolve data discrepancies and ensure timely reporting

Develop and maintain dashboards/reports (e.g. Power BI) for operational monitoring

Support user acceptance testing (UAT) for system enhancements, including coordination with IT vendors and documenting fixes

Provide administrative and operational support, including handling enquiries and ad-hoc tasks

Requirements

Proficient in Excel (data manipulation, reconciliation, analysis)

Experience with data visualisation tools (e.g. Power BI)

Strong attention to detail and ability to identify and resolve data issues

Good analytical and problem-solving skills

Able to manage stakeholders and vendors effectively


Contract duration: Mid-Apr 2026 – 31 Mar 2027

Working hours: Mon–Thurs 8:30am–6:00pm, Fri 8:30am–5:30pm


Only shortlisted candidates will be contacted. By submitting your resume or personal data, you consent to BGC Group Pte Ltd collecting, using, and disclosing your personal data to our clients and partners for the purpose of evaluating your suitability for job opportunities and related recruitment services. You acknowledge that you have read, understood, and agree to our Privacy Policy for Job Applicants, available at https://bgc-group.com/notice_f....BGC Group Pte Ltd – Outsourcing Division(EA 05C3053)

Successful applicants will be employed by BGC Group and assigned to our client’s project under a contract arrangement.

Summary

This role involves providing end-to-end content review and quality assurance services. The individual will be responsible for reviewing and annotating a wide range of content (e.g., text, images, videos) based on predefined guidelines. Additional responsibilities include grading assignments, ensuring consistency and fairness, and performing quality checks to maintain high standards. The role may also involve contributing to the development and refinement of guidelines, feedback loops, and continuous improvement initiatives.

Job Description

• Annotate content based on given standards and guidelines
• Grade assignments, projects, or assessments.
• Provide relevant data and prompt responses based on content.
• Provide feedback when discrepancies arise.
• Conduct research on various topics using reliable internet sources. 
• Conduct data collections based on client requirements. 
• Maintain detailed records for tracking and reporting.
• Collaborate to refine grading rubrics and annotation criteria. 
• Provide timely and accurate evaluation. 
• Gather information or data from various sources. 

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Micron Technology is seeking a Manager, Data Center SSD Firmware (M1/M2) to lead the Media Management (MM) firmware component team supporting Data Center SSD products. This role combines people management, technical leadership, and firmware component ownership to enable successful delivery of complex SSD firmware solutions.

Media Management (MM) firmware is the SSD firmware domain responsible for translating host data requests into reliable and efficient NAND flash operations. It comprises the Flash Translation Layer (FTL), which manages logical‑to‑physical address mapping, data placement, wear leveling, and reliability algorithms, and the Back End (BE), which controls low‑level NAND command execution and media interactions. Together, MM firmware is foundational to SSD performance, reliability, endurance, and quality of service.

The successful candidate will manage and develop a team of firmware engineers, serve as a firmware component lead for Data Center SSD programs, and partner closely with firmware leadership and cross‑functional teams to drive execution, quality, and continuous improvement.

Responsibilities

• People & Functional Management

• Manage and develop the Singapore‑based DC SSD Firmware Media Management (MM) team, including hiring, onboarding, performance management, coaching, and career development.

• Drive continuous skill growth and technical depth across the team to meet current and future business needs.

• Foster a culture of accountability, ownership, collaboration, and inclusion.

• Firmware Component Leadership

• Serve as Firmware Component Lead for Media Management in Data Center SSD programs.

• Own firmware component responsibilities including resource planning, scope definition, execution planning, and delivery tracking.

• Ensure component designs and implementations meet product requirements, quality standards, and schedule commitments.

• Program Execution & Delivery

• Partner with SSD firmware project leads and cross‑functional engineering teams to support successful execution and on‑time delivery of firmware milestones.

• Identify technical and execution risks early; drive mitigation plans and escalate appropriately.

• Take on additional assignments as needed to support broader SSD Engineering Group objectives.

• Process & Continuous Improvement

• Collaborate with the Firmware Leadership Team to improve engineering processes, development efficiency, and product quality.

• Promote best practices in firmware design, code quality, reviews, documentation, and knowledge sharing.

• Collaboration & Communication

• Foster strong teamwork and effective communication within the firmware organization and with global partners.

• Build trusted working relationships with peer managers, technical leads, and stakeholders.

• Micron Values & Leadership

• Act as a responsible Micron employee, demonstrating integrity, professionalism, and Micron values.

• Lead by example and serve as a positive role model for engineers and peers.

• Serve as Firmware Component Lead for Media Management in Data Center SSD programs.

• Own firmware component responsibilities including resource planning, scope definition, execution planning, and delivery tracking.

• Ensure component designs and implementations meet product requirements, quality standards, and schedule commitments.

• Program Execution & Delivery

• Partner with SSD firmware project leads and cross‑functional engineering teams to support successful execution and on‑time delivery of firmware milestones.

• Identify technical and execution risks early; drive mitigation plans and escalate appropriately.

• Take on additional assignments as needed to support broader SSD Engineering Group objectives.

• Process & Continuous Improvement

• Collaborate with the Firmware Leadership Team to improve engineering processes, development efficiency, and product quality.

• Promote best practices in firmware design, code quality, reviews, documentation, and knowledge sharing.

• Collaboration & Communication

• Foster strong teamwork and effective communication within the firmware organization and with global partners.

• Build trusted working relationships with peer managers, technical leads, and stakeholders.

• Micron Values & Leadership

• Act as a responsible Micron employee, demonstrating integrity, professionalism, and Micron values.

• Lead by example and serve as a positive role model for engineers and peers.

Minimum Qualifications

• Bachelor’s degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

• Min 10 years of relevant firmware or embedded software development experience.

• Min 4 years of people management experience, including managing managers or senior technical leads.

• Experience delivering firmware in complex, cross-functional product environments.

• Strong communication, planning, and execution skills.

• Demonstrated success scaling teams, developing leaders, and driving execution across multiple projects or components.

• Strong critical thinking and cross-organizational influence skills.

Requirements:

• Experience with Data Center SSD firmware, NAND flash, storage subsystems, or components related to media management.

• Experience driving firmware projects in a matrixed, global engineering environment.

• Demonstrated success in talent development and team scaling.

• Familiarity with continuous improvement, engineering process optimization, and quality metrics.

Summary

This role involves providing end-to-end content review and quality assurance services. The individual will be responsible for reviewing and annotating a wide range of content (e.g., text, images, videos) based on predefined guidelines. Additional responsibilities include grading assignments, ensuring consistency and fairness, and performing quality checks to maintain high standards. The role may also involve contributing to the development and refinement of guidelines, feedback loops, and continuous improvement initiatives.

Job Description

• Annotate content based on given standards and guidelines
• Grade assignments, projects, or assessments.
• Provide relevant data and prompt responses based on content.
• Provide feedback when discrepancies arise.
• Conduct research on various topics using reliable internet sources. 
• Conduct data collections based on client requirements. 
• Maintain detailed records for tracking and reporting.
• Collaborate to refine grading rubrics and annotation criteria. 
• Provide timely and accurate evaluation. 
• Gather information or data from various sources. 

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The Associate Director, Data Quality &Integrity (Global R&D & PV QA) provides strategic and tactical leadership for quality assurance governance of data integrity and GxP computerized systems across R&D, Pharmacovigilance (PV), and Medical Affairs (MA), with emphasis on business operational data. This role leads cross‑functional initiatives, establishes program‑level oversight frameworks, mentors and develops QA capability, and partners with senior stakeholders to ensure robust data governance, regulatory compliance, and measurable continuous improvement.

The incumbent reports to the Head of Global Data Quality and Integrity (Global R&D & PV QA).

JOB DESCRIPTION

- Leadership & Strategy Execution - 20%

·    Lead execution of key elements of the global Data Integrity strategy and ensure alignment across R&D, PV, and MA.

·    Translate strategic objectives into multi‑year roadmaps and annual operating plans for data integrity and computerized systems oversight (business operational data focus).

·    Serve as a senior subject matter expert for data integrity and GxP computerized systems governance, advising leadership on risk‑based prioritization and compliance posture.

- Quality & Compliance Oversight – 30%

·    Provide QA leadership for high‑risk or complex GxP computerized systems and related business operational data processes across the system lifecycle.

·    Oversee risk‑based validation, periodic review, change governance, and sustained compliance activities; drive consistent application of global QA standards.

·    Establish and monitor portfolio‑level compliance oversight mechanisms (governance forums, escalation pathways, decision rights) for inspection readiness.

- Audit, Inspection & Risk Management – 20%

·    Lead QA activities for audits and regulatory inspections related to computerized systems and data integrity; coordinate cross‑functional readiness and responses.

·    Review and approve investigations, deviations, and CAPAs for complex/high‑impact issues; ensure root cause quality and effectiveness verification.

·    Identify, trend, and mitigate emerging compliance risks; drive proactive risk reduction actions across functions and vendors.

- Stakeholder Engagement & People Leadership — 20%

·    Partner with senior stakeholders across R&D, PV, MA, IT, and Global QMS / eCompliance to drive alignment on governance, priorities, and risk acceptance.

·    Provide coaching and mentoring to QA staff and/or cross‑functional teams; support capability building and adoption of consistent DI practices.

·    Lead cross‑functional teams to deliver complex initiatives and resolve escalations that span multiple organizations or regions.

- Continuous Improvement & Innovation – 10%

·    Drive continuous improvement initiatives using metrics, analytics, and trend insights to improve DI performance and inspection readiness.

·    Support adoption of advanced analytics, AI‑enabled solutions, and emerging technologies to strengthen QA oversight and enable digital transformation in Global R&D & PV QA.

JOB REQUIREMENTS

·    Bachelor’s degree or Master's degree in Life Sciences, Pharmacy, IT, or related discipline is required.

·    10–15 years of experience in Quality Assurance, IT compliance/CSV, and/or regulated pharmaceutical environments supporting R&D, PV, and MA.

·    Demonstrated leadership of complex, cross‑functional initiatives for data integrity and GxP computerized systems governance (portfolio/program level).

·    Strong experience leading audit and inspection readiness activities, including review/approval of investigations and CAPA strategies for high‑impact issues.

·    Experience operating effectively in global, matrixed organizations with senior stakeholder engagement and enterprise risk management.

·    Experience leveraging metrics, analytics, and AI‑enabled technologies to drive continuous improvement and digital transformation in QA oversight and data integrity governance.

·    Fluency in English (oral and written); Chinese (oral and written) is advantageous.

·    Demonstrated ability to set direction and provide QA governance for data integrity and computerized systems across R&D, PV, and MA, including business operational data.

·    Strong strategic thinking and execution discipline, translating strategy into roadmaps, operating plans, and measurable outcomes while managing competing priorities and risk‑based decisions.

·    Proven capability to lead complex, cross‑functional and multi‑regional initiatives, influencing senior stakeholders and driving alignment on governance and compliance posture.

·    Excellent risk management and decision‑making skills, anticipating emerging risks, driving preventive actions, and ensuring investigations and CAPA effectiveness for high‑impact issues.

·    Highly effective executive communication skills, with the ability to clearly articulate risk, strategy, and compliance expectations to technical and non‑technical leaders.

·    People leadership and capability building, coaching and mentoring QA staff and building sustainable practices through standardization, training, and lessons learned.

·    Data‑driven and improvement‑oriented, leveraging metrics, trend analysis, analytics, and new technologies to improve compliance outcomes and inspection readiness.

As a Data Scientist you’ll combine data science and Generative AI techniques to create innovative models and products that support areas such as investment promotion, industry development, and corporate functions. You’ll collaborate closely with teams across the organization to uncover business challenges, shape technical solutions, and deliver AI and Machine Learning tools that make a real impact.

What you’ll do:

Work with business users to understand their priorities and use cases, then design and build data-driven and AI-powered solutions that add measurable value.

Stay curious about emerging AI and data science trends—such as agentic systems, LLMs, predictive modeling, anomaly detection, text analytics, and customer segmentation—and explore how they can be applied within the organization

Get hands-on with data through wrangling, cleaning, and feature engineering to prepare high-quality inputs for your models.

Help maintain and optimize deployed models and products, including Assistants on PAIR and AIBots, ensuring they run smoothly day-to-day.

Develop backend APIs and services to integrate AI models into existing systems.

Build user-friendly interfaces and experiences for AI-driven applications.

Keep documentation updated as products evolve.

Review and address any reported security vulnerabilities to maintain product integrity.

To do well in this position, you’ll need:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;

• Able to understand and apply a range of AI/ML techniques for regression and classification

• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )

• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)

• Experience with context engineering techniques and prompt optimization strategies

• Proficient in git, SQL

• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Complementary skillsets that contribute to success in this role include:

• Proficient in modern programming languages (e.g. typescript, C#)

• Experience in cloud platform and services preferably in AWS

• Experience in Docker/Kubernetes

• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)

• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)

• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)

• Understanding of AI agent frameworks and multi-agent systems

• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience

• Proficient in statistical software tools (e.g. R, SAS)

Responsibilities

• Design and build scalable ETL/ELT pipelines for real-time streaming of exchange and on-chain data feeds (Binary / Native, SBE, WebSockets, FIX, gRPC, etc.).
• Engineer high-performance storage and querying layers using ClickHouse (or equivalent columnar/time-series DBs) optimized for billions of rows of tick and order-book data.
• Implement real-time data processing, transformation, and enrichment pipelines (Kafka / Kinesis / Flink or equivalent).
• Ensure data quality, observability, backfilling, replay capabilities, and low-latency delivery to trading engines, quant researchers, and risk systems.
• Own infrastructure-as-code, monitoring, alerting, and cost optimization across the full data platform.
• Collaborate closely with quants, traders, and software engineers to translate trading and research needs into production data infrastructure.
• Build and optimize data pipelines for feature engineering and dataset generation from high-frequency time-series data to support machine learning model training and evaluation.
• Design real-time data serving layers (e.g., low-latency queries from ClickHouse) to power online inference and live AI-driven trading signals or risk models.
• Implement data versioning, lineage, and quality controls to enable reliable, reproducible ML experimentation and production deployment.

Requirements

• 7+ years as a data engineer in a high-volume, low-latency environment (HFT/prop trading, fintech, or large-scale real-time analytics strongly preferred).
• Deep, production-level expertise with ClickHouse (or similar: TimescaleDB, Druid, Pinot, etc.) for large-scale time-series workloads.
• Proficiency with Python, SQL, and data orchestration tools (Airflow, Dagster, or equivalent).
• Prior workbuilding data infrastructure for ML/AI (feature stores, model trainingpipelines, or real-time inference data layers).
• Proven track record of owning end-to-end data platforms as a senior individual contributor or small-team lead — you’ve been the “one-man band” before and delivered results under pressure.
• You need to be someone who can think on their feet, able to adjust individual priorities to deliver measurable impact to the team.
• A genuine interest and passion for Agentic AI Development, Machine Learning, and building Autonomous Workflows.
• Be reflective on constructive feedback, share knowledge openly, and be prepared to both learn and unlearn, whilst contributing to transparent decision-making.
• Your decision making is evidence based, using data to evaluate success and improve efficiency.

Responsibilities:

• Support the organisation's data centre services through monitoring and management for system, network and facilities
• Perform computer operations including account and tape management
• Incident management and act as escalation point to any facilities and system / network
• Manage and administer the service desk operations
• System alert monitoring and perform necessary escalation
• Liaison with landlord / vendor with regards to utilities, building services / facilities and systems issues
• Assist in planning and execution of disaster recovery activities
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Review of the data centre operations and report any gaps and issues
• Maintain proper IT documentation and prepare monthly reporting

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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.

PERSOL Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Reg.

Location: 37 Jalan Pemimpin, Singapore 577177

Nearest MRT: Marymount

To ensure timely, accurate, and efficient entry, maintenance, and verification of company data and financial records, supporting daily operations and administrative processes.

Job Description:

• Enter, verify and update daily sales reports into the accounting system (MYOB) accurately
• Process and record invoices, receipts, payments transactions
• Support Operations and HR team with administrative work (e.g. attendance, insurance, licensing etc)
• Perform general administrative support such as filing, invoicing, etc
• Assist in ad hoc administrative or finance-related duties as assigned

Job Requirements:

• Diploma in Accountancy or Finance equivalent or related field
• At least 1-2 years of relevant work experience
• Proficient in accounting software (MYOB) and MS Office (Excel, Powerpoint, Word etc).
• Proficient in English in written and verbal communication
• Highly self-driven, willing to learn, pay attention to details and good organisational skills
• Good communication and teamwork skills

Job Summary

We are looking for a Cybersecurity Data Analyst to analyze large-scale data, detect emerging cyber threats early, and collaborate with teams to take proactive actions that protect systems and reduce risk.

Mandatory Skill-set

• Must have 3+ years of experience in data transformation, analysis, and working with large datasets;
• Degree in Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, Analytics, or a related field;
• Familiar with statistical concepts like regression, distributions, and hypothesis testing, with practical usage preferred;
• Hands-on experience with databases and big data tools such as Hadoop, Hive, or Spark, and strong SQL skills for complex queries;
• Experience in Computer Networking, Network Security, or System Security is preferred, along with strong SQL skills and hands-on exposure to big data tools and analytics frameworks;
• Good understanding of cybersecurity concepts; relevant certifications are a plus.

Desired Skill-set

• Good communication, writing, and presentation skills, with a self-motivated attitude and the ability to quickly learn and adapt to new technologies and domains.

Responsibilities

• Analyze, correlate, and visualize data to identify trends, patterns, and anomalies;
• Develop and test threat-hunting hypotheses to proactively identify potential cyber threats;
• Generate actionable insights with supporting evidence to support decision-making;
• Share threat intelligence with relevant teams to enable timely response and intervention;
• Translate findings into clear reports and presentations for senior stakeholders.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

We are representing our client, aleading provider of carrier‑neutralInternet Data Centers in Singapore, in the search for an experienced Senior /Engineer, Data Center Facilities Management. This opportunity offers the chanceto join a dynamic team delivering a comprehensive suite of integrated services,including network connectivity, managed services, work area recovery solutions,cloud offerings, and media delivery platforms. Through its Data Center Corridorinitiative, the company interconnects key facilities across Singapore, enablingrapid deployment and diverse connectivity options for enterprises and serviceproviders.

As one of the pioneers inbroadband development in Singapore, our client has built a strong reputation asa trusted partner for telco‑class,carrier‑neutraldata centers. With a growing presence across Southeast Asia, they combinesuperior stability, secure delivery, and a media‑centric approach to provide cutting‑edge solutions to customers. Guided by the vision of becoming Asia’sData Center of Choice, they continue to transform rapidly to meet the evolvingneeds of the digital economy.

Senior / Engineer, Data CenterFacilities Management

Job Description

Facilities Operation and Maintenance:

• Conduct the required daily maintenance and operations of the data center facilities to ensure serviceability of all active and redundancy equipment. This includes performing routine facilities activities such as critical system checks and functional testing
• Respond to Mechanical and Electrical alarms/faults, identify trends, and implement corrective actions as needed
• Respond and investigate Building Management System (BMS)/ Environmental Monitoring System (EMS) alerts, providing feedback on outstanding issues or events, responding to emergency situations, and being on standby duty as required
• Support Data Center projects and any additional and alteration work such as site construction activities and installations, coordination with external contractors and testing in adherence to operational standards within the given timeline
• Other duties as assigned that are consistent with the responsibilities and objectives of the role

Technical and Customer Support:

• Ensure contracted service level agreements and key performance indicators are met or exceeded
• Attend to customer requests and deliveries such as installations, coordination with the design & construction, operations requirements to coordinate customer move-in and turn-on, and others

Events and Accreditation Support:

• Involve in the scheduling, coordination and completion of all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method
• Undertake assigned tasks to support the various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required
• Comply to all standard operating procedures (SOP), method of procedures (MOP), emergency operating procedures (EOP) and emergency response procedures (ERP) established for the critical environments

Qualifications

• Degree graduates in Electrical or Mechanical engineering or equivalent qualifications
• Candidates without the required academic credentials but with at least 2 years of relevant working experience in Data Center facilities management and operations or facility management experiences (M&E) in building, construction, semiconductors or equivalent
• Candidates with more years of relevant working experience in Data Center facilities management and operations may be considered for the Senior Engineer role
• Good technical and functional skills and knowledge of facilities management and operations
• Able to commit to 24x7 rotating shift duty
• Strong communication skills
• Working location: (East) at Chai Chee / (North) at Woodlands

We regret that only shortlistedcandidates will be notified.

Responsibilities

• Provide technical support, including basic benchmarking and analysis to support engineering solutions.
• Assist in the setup and operation of product demonstrations, events, and exhibitions.
• Support pre-sales activities by explaining product features and solutions to customers.
• Propose practical and effective solutions for machine vision applications.
• Contribute to the development and expansion of applications within the assigned product group (e.g. machine vision and deep learning).
• Work closely with suppliers, customers, sales teams, and engineers to deliver effective solutions.
• Organize and conduct training sessions for customers at beginner and intermediate levels.
• Share product knowledge and guide customers on usage and applications.

Requirements

• Degree in Mechanical Engineering/ Electrical Engineering/ Mechatronics/ Electronics/ Computer Engineer or any related course of studies
• Candidates without experience are welcome to apply as training will be provided
• Comfortable dealing with software and system
• Comfortable travelling up to 20% around Asia for business trips

All qualified applicants, please send in your resume to:

triciagoh@recruitexpress.com.sg

Tricia Celestine Goh (R1981653)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Requirement :-

Must-to-Have:

• 2–6 years of relevant experience in software/data engineering
• Proficiency in Scala/Java and Python
• Strong communication skills with good command of English
• Solid experience with ETL processes, including the Spark Suite (PySpark)
• Hands-on experience with the Hadoop stack (Hadoop, Hive, HDPS)
• Ability to design and develop Data APIs
• Experience with Operational Data Stores (ODS), Master Data Management (MDM), and data modelling
• Proven experience in building data frameworks and data architectures

Nice-to-Have:

• Experience in data warehousing, data lakes, and data management, including data processing and optimisation
• Intermediate knowledge of Artificial Intelligence (AI) and basic Data Science concepts
• Experience in BI tools, e.g., Tableau dashboard development and reporting

• Ensure rollback scripts are included for all batches in every Work Order
• Responsible to validate the script for all batches in every Work Order prior implementation
• To perform preliminary automated sorting and generate system-assisted grouping outputs.
• Conduct comprehensive manual validation to ensure accuracy of all preliminary outputs.
• Ensure end-to-end alignment of service types
• Process and organize all the local port (LP), number port (NP), and partial LP related data sets
• Conduct thorough validation to confirm the accuracy, consistency and correctness of all LP data sets
• Rectify data discrepancies (“dirty data”) through systematic correction, clarification or escalation to Customer’s team
• Perform weekly data validation exercise prior to batch finalization to ensure datasets remain up-to-date and migration ready
• Conduct regular check of IP reachability to ensure network readiness for migration
• Document all reachability tests and highlight any in-accessible nodes for rectification

Requirements

• Minimum Diploma or Degree in Electrical & Electronics Engineering or Data Analytics or CS Engineering
• Preferably with 1-2 years of relevant data validation experiences

Interested candidates please send in your resume to:
Topaz Liang Huimin (CEI No. R1104500), email to: west5@recruitexpress.com.sg
EA License No: 99C4599

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

For asuccessful POC, the candidate should ideally be a Mid-to-Senior level DataEngineer (3–5+ years) with the following "must-haves":

TechnicalCore

• Databricks Mastery: Expert-level knowledge of Delta Lake and the Medallion Architecture (Bronze/Silver/Gold layers).
• Apache Spark (PySpark/SQL): Ability to write optimized Spark code. For coming POC, Python is usually preferred over Scala/R for its flexibility and ecosystem.
• AWS Infrastructure: Deep understanding of S3 (Bucket policies/storage), IAM (Roles/Policies) for secure Databricks access, and VPC/Networking (Good to have)
• Data Ingestion: Experience with Databricks Autoloader or Unity Catalog for managed data governance.

"POC-Specific"Skills

• Prototyping Speed: The ability to set up a working end-to-end pipeline (Source → S3 → Databricks → OOTB BI Tool) in weeks, not months.
• Cost Management: Knowledge of how to configure Databricks Clusters (Autoscaling, Spot Instances) to prevent the POC from blowing your AWS budget.

JobDescriptions

Focus: Hands-on ETL/ELT and connectingvarious data sources and setup the platform with technical leadership.

• Role Summary:
• We are seeking a hands-on Data Engineer to spearhead our Databricks POC on AWS. You will be responsible for the initial environment setup, security configuration, and designing the framework for our future data platform.
• You will connect diverse AWS and external data sources into a unified Databricks environment.
• Key Responsibilities:
• Configure Databricks workspace integration with AWS (S3, IAM, VPC).
• Cleanse and transform raw data from S3, RDS, and APIs into Delta tables.
• Design and implement a scalable Medallion Architecture using Delta Lake.
• Build automated ingestion pipelines using Databricks Autoloader.
• Optimize Spark jobs for performance and reliability.
• Establish data governance standards using Unity Catalog. (Good to have)
• Evaluate POC success metrics (performance, cost, ease of use).

• Requirements: 3-5+ years in Data Engineering with PySpark/SQL; strong experience with AWS Glue or EMR is a plus.; Databricks Certified Data Engineer Professional preferred.

Role description

·      You are operating GlobalData Platform components (VM Servers, Kubernetes, Kafka) and applications(Apache stack, Collibra, Dataiku and similar)

·      Implement automation ofinfrastructure, security components, and Continuous Integration &Continuous Delivery for optimal execution of data pipelines (ELT/ETL).

·      Develop solutions tobuild resiliency in data pipelines with platform health checks, monitoring, andalerting mechanisms, quality, timeliness, recency, and accuracy of datadelivery are improved

·      Apply DevSecOps &Agile approaches to deliver the holistic and integrated solution in iterativeincrements.

·      Liaison and collaboratewith enterprise security, digital engineering, and cloud operations to gainconsensus on architecture solution frameworks.

·      Review system issues,incidents, and alerts to identify root causes and continuously implementfeatures to improve platform performance.

·      Be current on the latestindustry developments and technology trends to effectively lead and design newfeatures/capabilities.

Experience

·      You have 5+ years ofexperience in building or designing large-scale, fault-tolerant, distributedsystems

·      Migration experience ofstorage technologies (e.g. HDFS to S3 Object Storage)

·      Integration of streamingand file-based data ingestion /consumption (Kafka, Control M, AWA)

·      Experience in DevOps,data pipeline development, and automation using Jenkins and Octopus (optional:Ansible, Chef, XL Release, and XL Deploy)

·      Experience predominatelywith on-prem Big Data architecture, cloud migration experience might come handy

·      Hands-on experience inintegrating Data Science Workbench platforms (e.g. Dataiku)

·      Experience of agileproject management and methods (e.g., Scrum, SAFe)

·      Supporting allanalytical value streams from enterprise reporting (e.g. Tableau) to datascience (incl. ML Ops)

Skills

·      Hands-on workingknowledge of large data solutions (for example: data lakes, delta lakes, datameshes, data lakehouses, data platforms, data streaming solutions...)

·      In-depth knowledge andexperience in one or more large scale distributed technologies including butnot limited to: Hadoop ecosystem, Kafka, Kubernetes, Spark

·      Expert in Python andJava or another static language like Scala/R, Linux/Unix scripting, Jinjatemplates, puppet scripts, firewall config rules setup

·      VM setup and scaling(pods), K8S scaling, managing Docker with Harbor, pushing Images through CI/CD

·      Experience using dataformats such as Apache Parquet, ORC or Avro Experience in machine learningalgorithms is a plus.

·      Good knowledge of Germanis beneficial, excellent command of English is essential

·      Knowledge of financialsector and its products

·      Higher education (e.g."Fachhochschule", "Wirtschaftsinformatik")

Job description

Drive AI-Enabled Insights

• Deploy Natural Language Q&A and Copilot-based analytics

• Develop AI-driven use cases (forecasting, anomaly detection, KPI insights)

• Enable business users to access insights independently

Build a Scalable Data Platform

• Design and optimize data pipelines using Microsoft Fabric

• Develop robust data models and Power BI dashboards

• Standardize data architecture across the AP region

Strengthen Data Governance & Trust

• Implement Microsoft Purview for data lineage and governance

• Define data ownership and ensure KPI consistency

• Improve data quality and transparency across systems

Partner with the Business

• Translate business needs into data and AI solutions

• Act as a trusted advisor to management and operational teams

• Drive adoption of data-driven practices

Requirements

• 3–5 years of experience in data analytics, BI, or data platform roles

• Strong hands-on experience with Power BI and data modeling-Experience with Microsoft Fabric / Azure Data Platform preferred

• Exposure to AI tools (Copilot, Azure OpenAI, or similar) is a plus

• Experience in data governance (e.g., Microsoft Purview) is advantageous
  

  HOW TO APPLY:

  Interested applicants, please click on “Apply Now”. We regret only shortlisted candidates will be notified.

  Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

  Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

  Trust Recruit Pte Ltd

  EA License No: 19C9950

  EA Personnel: Lim Jun Ping

  EA Personnel Reg No: R25128522

• Support the design and delivery of telecommunications systems for large-scale data centre projects, working closely with international telecom teams from concept through detailed design.
• Prepare and review telecom design documentation, including schematics, equipment layouts, cable routing plans, and calculations in line with project specifications and industry standards.
• Coordinate with architects and multi-disciplinary engineering teams to ensure telecom designs are fully integrated and aligned with project requirements and regulations.
• Conduct site inspections to verify telecom infrastructure installations, review shop and as-built drawings, and support testing and commissioning activities to ensure system performance andcompliance.
• Liaise with contractors, vendors, and project stakeholders to resolve technical issues, monitor project progress, and ensure adherence to quality, safety, and project timelines.

Requirements:

• Bachelor’s degree in Telecommunications, Electrical Engineering, or related field.
• Minimum 3 years’ experience in telecom design and site delivery, preferably in data centre or critical-facilities environments.
• Strong knowledge of structured cabling systems, fibre optics, and network connectivity.
• Understanding of industry standards (TIA/EIA, BICSI, ISO/IEC).

If this opportunity aligns with your skills and experience, please submit your resume to koh.dickson@bayesrecruitment.com

Dickson KOH, EA Registration R1103367

www.bayesrecruitment.com