Total 996 data entry job vacancies in Information Technology category

Company Overview

TroyTech International Consulting Pte Ltd is a Singapore-based consulting firm specializing in SOA, EAI, JEE technical support, web and mobile solutions, and business integration with IBM and open source software. It serves Financial, Transportation, and Government sectors across APAC.

Job Summary

You will design and deliver high-performance back-office software solutions, collaborating with development teams and users to ensure robust application support and comprehensive documentation throughout the software development lifecycle.

Responsibilities

• Gather and analyze software requirements to align solutions with business needs
• Design, develop, and maintain high-volume, performance-intensive back-office software applications
• Prepare and submit comprehensive SDLC deliverables including Business Rules, Software Requirement Specifications, Architecture and Design documents, Interface Specifications, Source Code, Testing Specifications, and User Manuals
• Provide day-to-day application support to resolve operational issues promptly
• Liaise effectively with users to clarify requirements, design considerations, and testing feedback
• Apply Agile development methodologies to deliver iterative and incremental software improvements
• Implement DevSecOps and CI/CD practices to enhance software delivery and security
• Conduct unit, integration, and end-to-end testing to ensure system stability and reliability
• Utilize advanced SQL and star schema design techniques for database interfacing and optimization
• Apply data analytics techniques such as clustering, time series analysis, and anomaly detection to support data-driven decision-making
• Develop Python programs for data transformation and analysis using Pandas and Snowpark libraries
• Develop Java API microservices using Spring Boot framework (preferred)
• Design UML models to support clear and effective software documentation
• Work within AWS environments and leverage AWS Sagemaker for machine learning tasks (preferred)
• Create interactive dashboards using Streamlit or Tableau for data visualization (preferred)

Preferred competencies and qualifications

• Familiarity with AWS Sagemaker for machine learning workflows
• Skills in dashboarding libraries such as Streamlit or Tableau
• Experience in creating Java API microservices with Spring Boot

Key Responsibilities

• Design, develop, and maintain data pipelines, ETL/ELT processes, and data integration workflows.
• Architect and optimize data lakes, data warehouses, and streaming platforms.
• Work with structured, semi-structured, and unstructured data at scale.
• Implement real-time and batch data processing solutions.
• Collaborate with Data Scientists, Analysts, and Business stakeholders to deliver high-quality data solutions.
• Ensure data security, lineage, governance, and compliance across platforms.
• Optimize queries, data models, and storage for performance and cost efficiency.
• Automate processes and adopt DevOps/DataOps practices for CI/CD in data engineering.
• Troubleshoot complex data-related issues and resolve production incidents.
• Mentor junior engineers and contribute to technical strategy and best practices.

Technical Skills (Must-Have Tough Requirements)

Programming & Scripting

• Proficiency in Python, Scala, or Java for data engineering.
• Strong SQL skills (query optimization, tuning, advanced joins, window functions).

Big Data & Distributed Systems

• Expertise with Apache Spark, Hadoop, Hive, HBase, Flink, Kafka.
• Hands-on with streaming frameworks (Kafka Streams, Spark Streaming, Flink).

Cloud & Data Platforms

• Deep knowledge of AWS (Redshift, Glue, EMR, Athena, S3, Kinesis),
  or Azure (Synapse, Data Factory, Databricks, ADLS),
  or GCP (BigQuery, Dataflow, Pub/Sub, Dataproc).
• Experience with Snowflake, Databricks, or Teradata.

ETL/ELT & Orchestration

• Strong experience with Airflow, Luigi, Azkaban, Prefect.
• ETL tools like Informatica, Talend, SSIS.

Data Modeling & Storage

• Experience with Data Lakes, Data Warehouses, and Lakehouse architectures.
• Knowledge of Star Schema, Snowflake Schema, Normalization/Denormalization.

DevOps & Automation

• Proficiency in CI/CD (Jenkins, GitLab, Azure DevOps) for data pipelines.
• Experience with Docker, Kubernetes, Terraform, Ansible for infrastructure automation.

Other Tough Skills

• Strong knowledge of Data Governance, MDM, Data Quality, Metadata Management.
• Familiarity with Graph Databases (Neo4j), Time-Series Databases (InfluxDB, TimescaleDB).
• Understanding of machine learning data pipelines (feature engineering, model serving).

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field.
• 7–10 years of experience in data engineering or big data development.
• At least 2–3 large-scale end-to-end data platform implementations.
• Preferred Certifications:
  AWS Certified Data Analytics – Specialty
  Google Professional Data Engineer
  Databricks Certified Data Engineer

Key Responsibilities

• Design, develop, and maintain data pipelines, ETL/ELT processes, and data integration workflows.
• Architect and optimize data lakes, data warehouses, and streaming platforms.
• Work with structured, semi-structured, and unstructured data at scale.
• Implement real-time and batch data processing solutions.
• Collaborate with Data Scientists, Analysts, and Business stakeholders to deliver high-quality data solutions.
• Ensure data security, lineage, governance, and compliance across platforms.
• Optimize queries, data models, and storage for performance and cost efficiency.
• Automate processes and adopt DevOps/DataOps practices for CI/CD in data engineering.
• Troubleshoot complex data-related issues and resolve production incidents.
• Mentor junior engineers and contribute to technical strategy and best practices.

Technical Skills (Must-Have Tough Requirements)

Programming & Scripting

• Proficiency in Python, Scala, or Java for data engineering.
• Strong SQL skills (query optimization, tuning, advanced joins, window functions).

Big Data & Distributed Systems

• Expertise with Apache Spark, Hadoop, Hive, HBase, Flink, Kafka.
• Hands-on with streaming frameworks (Kafka Streams, Spark Streaming, Flink).

Cloud & Data Platforms

• Deep knowledge of AWS (Redshift, Glue, EMR, Athena, S3, Kinesis),
  or Azure (Synapse, Data Factory, Databricks, ADLS),
  or GCP (BigQuery, Dataflow, Pub/Sub, Dataproc).
• Experience with Snowflake, Databricks, or Teradata.

ETL/ELT & Orchestration

• Strong experience with Airflow, Luigi, Azkaban, Prefect.
• ETL tools like Informatica, Talend, SSIS.

Data Modeling & Storage

• Experience with Data Lakes, Data Warehouses, and Lakehouse architectures.
• Knowledge of Star Schema, Snowflake Schema, Normalization/Denormalization.

DevOps & Automation

• Proficiency in CI/CD (Jenkins, GitLab, Azure DevOps) for data pipelines.
• Experience with Docker, Kubernetes, Terraform, Ansible for infrastructure automation.

Other Tough Skills

• Strong knowledge of Data Governance, MDM, Data Quality, Metadata Management.
• Familiarity with Graph Databases (Neo4j), Time-Series Databases (InfluxDB, TimescaleDB).
• Understanding of machine learning data pipelines (feature engineering, model serving).

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field.
• 7–10 years of experience in data engineering or big data development.
• At least 2–3 large-scale end-to-end data platform implementations.
• Preferred Certifications:
  AWS Certified Data Analytics – Specialty
  Google Professional Data Engineer
  Databricks Certified Data Engineer

· Minimum 5-8 years of experience in data engineering or related roles

· 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 front-end teams.

·        Datamanagement: applies validation, cleansing, reprojection, metadata, and datalineage of geospatial data

What you'll be doing

• Support the preparation, validation, and consolidation of HR data for reporting and analytics

• Perform audits and analysis of HR performance data to identify gaps and improvement opportunities

• Maintain and organise HR datasets, ensuring data integrity, consistency, and compliance

• Develop dashboards and trackers to monitor SLA performance and incident trends

• Provide administrative support, including coordination of meetings, project tracking, and documentation

• Manage tracking of IT assets and office resources where required

• Participate in HR projects and support process improvement initiatives

What we're looking for

• Diploma in Information Technology/ Statistics/ Human Resource or related studies 

• 1 – 3 years of working experience in analytics or data-related roles

• Strong proficiency in Microsoft Excel (e.g. Pivot Tables, VLOOKUP, Power Query, charts) and PowerPoint

• Strong analytical skills with a high level of accuracy and attention to detail

• Good communication and interpersonal skills

• Well-organised, proactive, and able to work independently

Interested applicants, kindly furnish us with your full and detailed resume in MS Words format and click "Apply Now" button.

We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities. 

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Roles & Responsibilities

As a Data Center Engineer plays a crucial role in maintaining the operational integrity of the data center by providing support in ticket resolution, hardware replacement, fiber cabling patching, and fiber testing. This position requires strong technical expertise, problem-solving skills, and a commitment to ensuring the seamless functioning of data center infrastructure. This role may require occasional lifting, physical work, and work in environments with controlled temperature and humidity. Data Center Engineers are expected to adhere to safety protocols and maintain a high level of attention to detail in all tasks.

As a Data Center Engineer is a vital part of our infrastructure support team, ensuring the continuous operation of our data center. If you are a dedicated professional with the required technical skills and a passion for maintaining high-performance data center environments, we encourage you to apply.

Job Responsibilities

- Assist customers onsite or remotely

- Rack and stack network equipment or servers as per client requirement

- Installation of fibre and UTP cables

- Inventory checking and reporting for sites

- Log and track all incidents through ITSM tool and follow the incident management process

-Support business workstations, applications and services ensuring business continuity and customer satisfaction

- Collaborate with the vendor, network infrastructure, security, compliance, and various team for project work

- Supervise vendors and perform user-acceptability checks once completed

Job Qualification

· Minimum Diploma or bachelor’s degree in a Computer Science, Information Technology or related field.

· 1-2 years of working experience.

· Proven experience in data center operations, preferably in a similar role.

· Strong knowledge of data center hardware, fiber cabling, and networking technologies.

· Certification in relevant areas, such as Cisco CCNA, CCNP, or equivalent, is a plus.

· Proficiency in troubleshooting and problem-solving in a high-pressure, fast-paced environment.

· Excellent communication and teamwork skills.

· Able to participate in an on-call rotation if necessary.

· Physical fitness for handling equipment and performing maintenance tasks.

Location - Macpherson
Work Day/Hours - Mon to Fri (9am to 6pm)

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 Scientist

You will work in Singapore Government Agencies

Internal Code: A26013

This is a fixed term contract role. The engagement is 1 year, with option to extend to another 1 year

What will you do?

• Both roles require a strong Data Science/ML foundation (model development, experimentation, diagnosing issues).
• Both use Python + ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Both involve applied research, curiosity, strong communication skills, and ability to explain DS concepts clearly.
• Both are in multi-disciplinary teams, working in fast-moving, collaborative environments
• Embedded in product team, focused on shipping features & solving user issues
• Focused on exploratory research & agency pilots, testing PET adoption

What are we looking for?

• Strong in ML model development & applied research
• Python programming, experiment design & evaluation
• Backend development (FastAPI/Flask)
• Cloud (AWS), CI/CD pipelines
• Ability to synthesise & apply academic research
• Comfortable with ambiguity and novel problem solving
• Strong DS/ML + hands-on SWE integration; research/experimentation
• Enjoy exploring PETs, running pilots, and engaging directly with agency users and/or enjoy hands-on building, solving user issues, and working closely with engineers.

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, sex, 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.

About the Job

We are seeking a skilled and detail-oriented Data Engineer to design, develop, and maintain robust data pipelines and ETL solutions. This role involves working closely with cross-functional teams to ensure data quality, scalability, and alignment with business and technical requirements

• Design, develop, test, and maintain scalable ETL pipelines to meet business, technical, and user requirements.
• Collect, refine, and integrate new datasets. Maintain comprehensive documentation and data mappings across multiple systems.
• Create optimized and scalable data models that align with organizational data architecture standards and best practices.
• Conduct code reviews and perform rigorous testing to ensure high-quality deliverables.
• Drive continuous improvement in data quality through optimization, testing, and solution design reviews.
• Ensure all solutions conform to big data architecture guidelines and long-term roadmap.
• Implement robust monitoring, logging, and alerting systems to ensure pipeline reliability and data accuracy.
• Apply best practices in data engineering to design and build reliable data marts within the Hadoop ecosystem for planning, reporting, and analytics.
• Maintain and optimize data pipelines to ensure data accuracy, integrity, and timeliness.
• Manage code in a centralized repository with clear branching strategies and well-documented commit messages.
• Coordinate with stakeholders to ensure smooth production deployment and adherence to data governance policies.
• Proactively identify and implement improvements to data engineering processes and workflows.
• Architect end-to-end solutions for business analytics product (dashboards or statistical model) from the acquiring of data, contextualizing data for business analytics and integrating of product with business process.
• Act as a business process owner for onboarding users and data products onto the data platform and pipelines supporting dashboards and statistical models.
• Ensure adherence to development standards and perform periodic reviews to maintain pipeline performance and sustainability.
• Coordinate and conduct testing with stakeholders to ensure effective deployment of data pipelines and dashboards.
• Monitor data pipelines continuously and collaborate with stakeholders to troubleshoot and optimize performance.

We are looking for people who

• Bachelor Degree in Computer Engineering, Computer Science, Mathematics, Software Engineering, equivalent fields or proven experience in data engineering
• Stakeholder Management – Conversant in Business terms and ability to resolve and explain data analytics issues with Business users and other concerned stakeholders
• A minimum 5 years of experience in Business Intelligence / Data Analytics field. An analytics practitioner with proven experience in delivering data-driven business solution and data-driven process augmentation
• Proven experience in data engineering, ETL development, and big data technologies
• A strong team player who is meticulous, detail-oriented, and capable of performing under pressure
• Proficiency in tools and platforms such as Hadoop, Spark, Hive, and cloud data services(e.g., AWS, Azure, GCP).
• Hands-one experience with large volumes of data using SQL, Spark, Hadoop, or other bigdata ecosystems is preferred
• Possesses strong problem-solving and interpersonal skills.
• Possesses strong communication skills with the ability to bridge technical and business domains, and proactive problem-solving
• Committed, dependable, and adaptable with the flexibility to support during peak periods and tight deadlines      
• Demonstrate high integrity, accountability, and a collaborative mindset
• Takes initiative to improve current state of things and embrace change
• Understanding of banking, insurance and financial services is preferred

How you succeed

• Champion and embody our Core Values in everyday tasks and interactions.
• Demonstrate high level of integrity and accountability.
• Take initiative to drive improvements and embrace change.
• Take accountability of business and regulatory compliance risks, implementing measures to mitigate them effectively.
• Keep abreast with industry trends, regulatory compliance, and emerging threats and technologies to understand and highlight potential concerns/ risks to safe guard our company proactively.

Who we are

Founded in 1908, Great Eastern is a well-established market leader and trusted brand in Singapore and Malaysia. With over S$100 billion in assets and more than 16million policyholders, including 12.5 million from government schemes, it provides insurance solutions to customers through three successful distribution channels – a tied agency force, bancassurance, and financial advisory firm Great Eastern Financial Advisers. The Group also operates in Indonesia and Brunei.

The Great Eastern Life Assurance Company Limited and Great Eastern General Insurance Limited have been assigned the financial strength and counterparty credit ratings of "AA-" by S&P Global Ratings since 2010, one of the highest among Asian life insurance companies. Great Eastern's asset management subsidiary, Lion Global Investors Limited, is one of the leading asset management companies in Southeast Asia.

Great Eastern is a subsidiary of OCBC, the longest established Singapore bank, formed in 1932. It is the second largest financial services group in Southeast Asia by assets and one of the world’s most highly-rated banks, with an Aa1 rating from Moody’s and AA- by both Fitch and S&P. Recognised for its financial strength and stability, OCBC is consistently ranked among the World’s Top 50Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

The Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a centre of data excellence for Product & Experimentation in a diverse range of tech families.

Get to Know the Role

You will report to the Senior Analytics Manager, Mobility and work onsite in Grab One North Singapore office. You will work with different teams within a business line (Product, Business, Engineering, Design, and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/ product ideas and provide appropriate recommendations.

Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas! You will help developers, designers & product managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them, and iterate on the next set of products to build for our users.

The Critical Tasks You Will Perform

• You will propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will use your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
• You will drive improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

Qualifications

What Essential Skills You Will Need

• Experience in analytics, preferably in the e-commerce or internet industry.
• Bachelor’s degree in Statistics, Analytics, Mathematics, Engineering, or other quantitative subjects.
• Advanced knowledge of analytical tools, such as database querying (SQL, Presto, Hive), visualization and reporting tools (Tableau, PowerBI, Holistics), and programming languages (Python, R)
• Quantitative discipline with strong business sense and ability to articulate complex analyses results to a wide range of audiences, and translate these to actionable business insights. Primarily driven by quantitative outcome for all decision making.
• Familiarity with advanced analytics techniques, including but not limited to predictive modeling, machine learning, and statistical analysis.
• Strong ability to work with large and complex data sets.
• Experience in implementing and optimizing machine learning models for real-world applications.
• Fast-learner, versatile, self-driven, detail-oriented, and collaborative.
• Excellent communication skills to translate analytics specificities for all audiences.

Additional information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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 Scientist

You will work in Singapore Government Agencies.

This is a fixed term contract. The engagement is 1 year, renewable.

Internal Code: A26126

This is a fixed term contract role. The engagement is 1 year, with option to extend to another 1 year

What will you do?

As a Data Scientist, you will use data science and Generative AI techniques to develop models and products that support a range of divisions across investment promotion, industry development and corporate functions.

You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes.

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities

What are we looking for?

• 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)
• 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

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, sex, 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.

Job Responsibilities

A. Collibra Implementation & Configuration

·      Develop, configure, and deploy data lineage workflows in Collibra (Technical & Business Lineage).

·      Implement Collibra Data Catalog, Business Glossary, and custom domains/models.

·      Configure Collibra Operating Model, communities, domains, roles, and responsibilities.

·      Build and optimise Collibra Workflows using BPMN and Collibra Workflow Designer.

B. Metadata & Lineage Integration

·      Connect Collibra with enterprise systems:

·      ETL/ELT Tools: Informatica, Talend, dbt, Airflow

·      Data Lake / DWH: Snowflake, Databricks, Redshift, Oracle

·      Core Banking Systems: CASA, Trade, Treasury, Payments, Channels

·      Develop automated metadata ingestion pipelines (API, JDBC, custom scripts).

·      Map and trace end-to-end lineage from source → transformation → consumption systems.

C. Data Governance & Regulatory Alignment

·      Work with the Japanese Bank’s DMO on MAS-aligned data governance requirements (MAS 610/649, BCBS 239).

·      Support creation and maintenance of Business Glossary, Data Dictionary, and ownership models:

·      Data Owners

·      Data Stewards

·      Technical Owners

·      Perform metadata quality checks and lineage validation.

D. Stakeholder & Delivery Management

·      Engage with the Japanese Bank’s Data Governance, Compliance, Risk, and Technology teams.

·      Provide technical SME guidance, defect remediation, and enhancement support.

·      Prepare weekly progress reports, risks, and issues, and present to the bank’s DMO / Delivery Lead.

·      Contribute to DATA delivery governance with FSI Delivery Head.

Job Requirements

A. Technical Skills

·      3–7 years hands-on experience with Collibra (Catalog, Data Lineage, Glossary, Workflow).

·      Strong understanding of:

·      Metadata models & governance frameworks

·      Collibra DGC concepts

·      Custom lineage creation

·      Integration via REST API, Edge, Lineage Harvesting tools

·      Experience in mapping lineage for financial data flows (preferred).

·      Proficiency in SQL and metadata extraction from databases & ETL pipelines.

·      Knowledge of Cloud platforms (AWS / Azure / GCP) is a plus.

B. Domain Knowledge

·      Functional understanding of Banking & FSI systems: CASA, Loan, Trade, Treasury, GL, Payments, Channels.

·      Familiarity with MAS regulatory reporting, risk controls, or Data Governance programs.

C. Soft Skills

·      Clear communication with senior stakeholders.

·      Strong documentation and reporting capability.

·      Ability to work independently under strict timelines.

·      Positive, client-focused mindset; protects company’s reputation.

4. Certifications (Good to Have)

·      Collibra Ranger / Collibra Steward / Collibra Workflow Engineer.

·      Data Governance certifications (DAMA, DCAM).

·      Cloud Architect or Data Engineering certification.

5. Responsibilities Reporting to FSI Delivery Head

·      Weekly update on delivery status, risks, and replacement requirements.

·      Maintain high customer satisfaction with Japanese Bank DMO & Technology stakeholders.

·      Ensure SLA compliance, quality of deliverables, and minimal escalations.

·      Act as SME and train backup engineers for continuity.

Job Description:

1. Must have experience in data centre deployments, building large-scale infrastructure.
2. Knowledge of network routing and switching concepts and protocols including BGP, TCP/IP, VLAN, ISIS, OSPF, and MPLS
3. Comfortable accomplishing basic tasks from Linux/Unix command line interface
4. Demonstrated ability to analyse complex situations and utilize troubleshooting skills, systems and tools, and creative problem-solving abilities under pressure.
5. Experience with Service Provider network hardware platforms and architectures including routers/switches and data center switching platforms is preferred (Good to have)
6. Experience with field-based work in data centers

We are seeking an experienced DCS Engineer to support the design review, planning, and delivery of mission‑critical data centre infrastructure.

The role focuses on validating data centre layouts, power, cooling, and cabling designs, reviewing vendor submissions, and coordinating implementation to ensure compliance with standards and regulatory requirements. You will work closely with vendors, contractors, and internal operations teams in high‑availability environments.

Requirements:

• Degree in Engineering (Electrical / Mechanical / Computer or related)
• Minimum 5 years’ experience in data centre design, planning, or infrastructure delivery
• Strong knowledge of rack layouts, cabling, power, and cooling systems
• Experience engaging vendors and managing delivery
• Familiarity with mission‑critical data centre standards
• Certifications such as CDCDP, ATD, CDCE, CDCMP, or PE are an advantage.

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

EA Registration No.: R1658484, Amita Raj

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Job Description

To achieve excellence in preventative and reactive maintenance programs incorporating industry best practice, innovative maintenance techniques and statutory and contractual compliance. Oversee the management and control of all plant, mechanical and electrical systems and to co-ordinate remedial action with the Engineering Team in the event of Business Critical failures. To provide leadership and direction to multi skilled Engineering Operations teams made up of directly employed staff and appointed vendors. Ensure that all staff and vendors employed within the clients facilities strictly adhere to client and JLL’s policies and procedures. Act as point of escalation for critical failures to assist the technical team to make safe, identify, analyse, rectify and report improvements. Reports to the Data Centre Operations Manager.

Major Responsibilities

• Manager the site operations, including effective hiring, motivation, development, training and discipline of the site operation technicians and maintenance teams.
• Monitor KPI and up-time requirements.
• Support site reviews, including maintenance standards, equipment replacement, security, change control, single points of failure, Tier adherence and operational risk.
• Ensure delivery of planned and reactive activities, utilizing the CMMS platform within financial operating targets.
• To perform additional tasks as required by the Data Centre Operations Manager, and Client Critical Facilities Manager.
• Support advice and consultation to operate the client’s facilities with regard to facilities engineering matters.
• Responsibility for site repair and maintenance carried out by subcontractors to ensure work completion, quality and method of working for compliance with specification and ordinance requirements.
• Monitor, measure and report upon the performance of all specialist contractors in terms of their ability to carry out the work against the agreed contractual budget.
• Lead and Support meetings regularly with contractors, specialist vendors and suppliers to ensure that required standards are established and maintained, and develop corrective action plans when, or if performance falls below expectations.
• Support daily cadence meetings, monthly operation meeting and quarterly business review with UOB
• Ensure that maintenance documentation meets the required standards and sufficient information is provided to operate an effective asset management regiment.
• Assist/support the client with statutory compliance requirements/certifications for the site.
• Ensure asset information is maintained and changes updated within the CMMS.
• Ensure site operations, including incident management and escalation is performed in accordance with approved Client/JLL procedures.

Ideal Experience

• Tertiary qualifications in a mechanical, electrical or operational engineering discipline.
• At least 3 years’ experience in the operation of electrical and mechanical services in Tier III or equivalent data centre or critical facility.
• Resourceful, analytical and problem-solving skill
• Good communication and interpersonal skills and ability to interact with a wide range of client, client stakeholders and vendor staff
• Possess relevant DC certifications
• Understands continuous improvement initiatives, client relationships and preparation of reports.

Role Overview

As our Data Engineer, you will own the lifeblood of our legal AI platform — the data pipeline that keeps our knowledge graph accurate and current. You will build CDC (Change Data Capture) pipelines to synchronize our Neo4j knowledge graph with Singapore’s official legal publications, implement data quality validation frameworks, and ensure version control across statutory amendments. When a new Gazette is published, your pipeline is what makes our AI know about it within days — not months.

Key Responsibilities

• Design and implement CDC pipelines to capture incremental changes from Singapore Gazette, AGC consolidated statutes, and other authoritative legal sources

• Build automated data ingestion workflows: scraping, parsing, structural analysis of legal documents (Act → Part → Division → Section → Subsection)

• Implement temporal metadata extraction: effective dates, repeal dates, amendment lineage, and version tracking for every statutory provision

• Develop data quality validation framework: automated checks for temporal conflicts, missing citations, entity mismatches, and cross-jurisdiction inconsistencies

• Manage Neo4j graph data loading and incremental updates — updating specific nodes without full graph rebuilds

• Build monitoring dashboards for data pipeline health: ingestion latency, error rates, coverage metrics

• Implement data versioning and rollback capabilities for audit compliance

• Collaborate with Backend Engineer on ETL-to-KAG integration and with QA on data accuracy validation

Requirements

• 2+ years experience in data engineering, ETL development, or data pipeline architecture

• Proficiency in Python and/or Go for data processing scripts and pipeline orchestration

• Experience with graph databases (Neo4j preferred) or relational databases (PostgreSQL)

• Hands-on experience with CDC tools or patterns (Debezium, Kafka Connect, or custom CDC)

• Understanding of data quality frameworks and validation methodologies

• Familiarity with AWS data services (S3, Glue, Lambda, or Step Functions)

• Proficiency in English; Mandarin is a strong plus

• Singapore Citizen or Permanent Resident (PR) required

Nice-to-Have

• Experience with web scraping and document parsing (BeautifulSoup, Scrapy, or similar)

• Background in legal data, regulatory data, or structured document processing

• Experience with workflow orchestration tools (Airflow, Dagster, Prefect)

• Knowledge of NLP-based entity extraction or named entity recognition