Total 1,005 data entry job vacancies in Information Technology category

Job Summary

We are looking for Data Engineer who will be playing a key role in creating, building and maintaining our client’s data infrastructure.

Mandatory Skill-set

• Degree in Computer Science or related discipline;
• Minimum 2-3 years of experience in Data Analytics;
• Must have Good hands-on experience in both SQL, Python, Pyspark;
• At least 2 years of experience in Data Management and data governance;
• Able to collect, parse, manage, analyse and visualise large sets of data to turn information into insights accessible through multiple platforms and works more with structured data;
• Basic project management knowledge, Team presentation skill & Business analytical skill;
• Excellent interpersonal, and communication skills with the ability to coordinate / work with multiple teams;
• Motivated, driven, logical, and possess excellent time management skills;
• Has strong analytical and problem-solving skills with attention to detail.

Desired Skill-set

• Experience in financial industry;
• Experience in Data science;
• Familiarity with Agile development methodologies.

Responsibilities

• Create, build, and maintain the data infrastructure required for Extraction, Transformation and Loading of data from a wide variety of sources.
• Ensure high-quality data is delivered to support Compliance / FCC model development.
• Support the implementation of Data Analytics / Automation for Compliance teams and Business stakeholders.
• Liaise with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for Compliance / FCC Data models.
• Liaise with Business stakeholders / analysts and ensure assembled data assets used for model development meet business requirements.
• Build & maintain data dictionaries / data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives.  
• Monitor the execution & performance of data models and liaise with IT for any technical / system outages.
• Keep track of datasets / tables in the working schema and support purging of unused tables periodically.
• Perform data analysis required to troubleshoot data related issues and support the resolution of raised data issues.

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 License No. 07C5639

· A bachelor's or technical degree in Computer Science, IS, or IT is preferred

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

· Hands-on experience in big data technology development is preferred

· Good understanding & working knowledge with Agile/Scrum

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

· Solution design using proven patterns, performance tuning.

· DevOps/release management/production support skills strongly preferred.

· Java/J2EE, Java 1.8 and above is preferred to implement parallelism and concurrency.

·        Must have knowledge on Spark/Flink/Storm to analyze and transform large amounts of data.

·        Must have knowledge of HBase and Elasticsearch to perform CRUD operations on big data.

·        Must have good understanding on IBM MQ, Kafka for message processing.

·        Good knowledge on Cloud Platform (AWS, GCP,etc)

·        Should have knowledge of Maven, gradle, Jenkins, UML, GitHub Copilot tools to manage and build project.

·        Should have knowledge on GIT, GIT Lab, Junit, Cucumber, Jira, Sonar to manage/test source code effectively.

·        Should have good knowledge on Spring, Spring REST, Web services, gRPC, Micro services,framework to implement robust API’s.

·        Must have knowledge on Kibana, spark UI, ELK to debug and identify the root cause of the issues.

Role Accountabilities (What is this role responsible for delivering?)

• Define and execute a comprehensive data and AI strategy aligned with business objectives.
• Champion a data-driven culture across the organization.
• Lead the development of enterprise data platforms, ensuring scalability, security, and performance.
• Establish and enforce data governance frameworks, including data quality, lineage, stewardship, and metadata management.
• Ensure compliance with global and regional data privacy regulations (e.g., GDPR, PDPA).
• Oversee data risk management and audit readiness.
• Lead data teams, including data science to identify AI/ML opportunities, partnership with business partners.
• Ensure data readiness and infrastructure to support model development and deployment.
• Implement AI governance practices to ensure ethical, explainable, and responsible AI use.
• Lead the design and implementation of integration architectures. (e.g., APIs, event-driven systems, data pipelines)
• Drive modernization of legacy systems to support real-time and scalable integrations.
• Oversee the development and maintenance of data lakes, warehouses, and real-time data platforms.
• Ensure alignment with enterprise architecture and cloud strategies (e.g., Azure, AWS, GCP).
• Promote reusable data assets and self-service analytics capabilities.
• Collaborate with C-level executives, business leaders, and IT to align data initiatives with strategic goals.
• Drive change management efforts to embed data and AI into business processes.
• Communicate data value and insights to non-technical stakeholders.
• Build and lead high-performing teams across data engineering, integration, and governance.
• Foster a culture of innovation, continuous learning, and cross-functional collaboration.
• Develop talent pipelines and upskill teams in AI, data engineering, and integration technologies.

People Management

• Lead employees to meet the organisation's expectations for productivity, quality, and goal accomplishment.
• Provide oversight and direction to the employees in the team in accordance with the organisation's policies and procedures.
• Plan staffing levels and work with Human Resources to recruit, interview, select, hire, and employ the right people within budgetary guidelines.
• Coach, mentor and develop staff, including overseeing new employee onboarding and providing career development planning and opportunities.
• Consciously create an engaging workplace culture that emphasizes the identified mission, vision, guiding principles, and values of the organisation.
• Lead employees using a performance management and development process including goal setting, feedback, and performance development planning.
• Empower employees to take responsibility for their jobs and goals. Delegate responsibility, drive accountability and provide regular feedback for continuous improvement.
• Manage and maintain effective employee work schedules including assignments, job rotation, training, vacations and paid time off, cover for absenteeism, and overtime scheduling.
• Maintain two-way transparent communication. Appropriately communicate organization information through department meetings, one-on-one meetings, and appropriate email, IM, and regular interpersonal communication.
• Deliver key people related activities in conjunction with the People Division that will lead to the enhanced engagement and retention of team members.
• Champions team collaboration by fostering an inclusive environment that encourages open communication and the sharing of ideas across all levels.
• Drives cross-functional initiatives by building partnerships and influencing stakeholders to achieve common goals without formal authority.
• Leads by example, demonstrating accountability, resilience, and a solution-oriented mindset to inspire others.
• Promotes the adoption of best practices by identifying process improvements and advocating for positive change within the team.
• Influences decision-making by presenting data-driven insights and articulating the team’s perspectives to management and other departments.
• Promotes a culture of recognition by celebrating team achievements and encouraging a sense of shared success.
• Supports the onboarding and integration of new team members, helping to build a cohesive and high-performing unit.

Crisis Management

• Make every effort to be aware of and understand your role in the event of a crisis.
• Make every effort to attend any relevant training, simulations and or meetings relating to Crisis Management.
• Perform your role as best as possible in a calm and collaborative manner in line with the relevant policy and procedures in the event of a Crisis.
• Provide input and feedback towards the ongoing improvement of the Crisis Management framework and procedure.

Key Qualifications & Skills (What knowledge will ensure success in the role?)

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Artificial Intelligence or related field.
• Master’s or PhD preferred for strategic leadership roles.
• 10+ years in data-related roles. (engineering, analytics, science, governance)
• 7+ years in leadership or strategic roles.
• 5+ years governance related experience.

Certifications (optional but valuable):

• Data Science & AI Foundations
  - Data Science Specialization – Johns Hopkins (Coursera)
  -AI for Everyone – Andrew Ng (Coursera)

• Professional Certificate in Machine Learning and AI – edX (MIT or Columbia)
  - Executive & Strategic AI
  - Oxford Executive Program in AI
  - MIT Sloan – Artificial Intelligence: Implications for Business Strategy
  - INSEAD – AI for Business
  - AWS/GCP/Azure Data Engineering or Architecture certifications
  - TOGAF (for enterprise architecture)

• Responsible AI & Governance
  - Responsible AI Certification – World Economic Forum / IEEE
  - AI Ethics and Governance – Singapore Management University (SMU
  - Certified Data Management Professional (CDMP)
  - PMP or Agile certifications (for project leadership)

• Proven track record of building and scaling data teams and platforms.
• Must be able to interact effectively across multiple levels of the organization.
• Strong problem-solving abilities, with a data-driven and analytical approach to process improvement.
• Excellent communication and interpersonal skills, facilitating collaboration between technical and non-technical stakeholders.
• Knowledge and experience in executive reporting.

Technical Skills

Data Architecture & Engineering:

• Designing scalable data platforms. (data lakes, warehouses, marts)
• ETL/ELT pipelines using tools like Apache Airflow, dbt, Informatica.

Cloud Platforms:

• Deep expertise in AWS, Azure, or Google Cloud.
• Services like Redshift, BigQuery, Snowflake, Databricks.

Programming & Tools:

• Python, SQL, Spark, Scala.
• Familiarity with R, Java, or Julia is a plus.

Data Governance & Quality:

• Master data management (MDM), metadata management.
• Data lineage, cataloging. (e.g., Collibra, Alation)

Analytics & BI:

• Tools: Power BI, Tableau, Looker.
• Experience with KPI frameworks and dashboarding.

Machine Learning & AI (if applicable):

• Model lifecycle management, MLOps.
• Experience with ML platforms. (e.g., SageMaker, Vertex AI)

Security & Compliance:

• GDPR, CCPA, HIPAA. (depending on industry)
• Data encryption, access controls, audit trails.

Professional Skills

Strategic Thinking:

• Aligning data strategy with business goals.
• Driving data monetization and innovation.

Leadership & Team Building:

• Hiring, mentoring, and managing cross-functional data teams.
• Fostering a data-driven culture.

Stakeholder Engagement:

• Communicating with C-suite, product, engineering, and business units.
• Translating data insights into business value.

Project & Change Management:

• Leading data transformation initiatives.
• Managing budgets, timelines, and vendor relationships.

Communication & Storytelling:

• Presenting complex data insights in a compelling way.
• Influencing decisions through data narratives.

Adaptability & Continuous Learning:

• Staying current with data trends, tools, and regulations.
• Encouraging experimentation and innovation.

By submitting your CV, you are deemed to have agreed and consent to the collection, use and/or disclosure of your personal data to the Company for the purposes of recruitment and employment only in accordance with the Company's Recruitment Data Privacy Policy on our website.

Swire Shipping is committed to ensuring equal equitable access and participation for persons who experience disability. SSL is committed to treating persons with disability in a way that allows them to maintain their dignity and independence. Reasonable adjustments can be made upon request based on understanding of those accommodations.

Across Swire Shipping, we seek to create a supportive and inclusive environment that embraces individuality and recognise the benefits that these differences make. We do this by ensuring that all individuals are treated with respect and understanding and actively promote Equal Employment Opportunity (EEO) and do not tolerate discrimination, harassment, bullying, retaliation or intimidation of any kind. We are committed to driving the strategy, policies and accountability to build and sustain a diverse global workforce, through equitable processes and systems where everyone can contribute their very best.

About our group:

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

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

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

About the role - you will:

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

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

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

Explore memory‑safe programming languages for secure embedded implementations

Research the evolving threat landscape and identify applicable mitigation techniques

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

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

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

About you:

We’re Looking for Someone Who Is:

Knowledgeable in cryptography, security standards, and protocols

Knowledgeable with memory‑safe languages

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

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

Your experience includes:

PHD in Cryptology, mathematics or any relevant fields.

Implementing or designing cryptographic algorithms

Applying or researching Post‑Quantum Cryptography (PQC)

Software development

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

Experience with biometric security systems is an advantage

Development experience in Linux environments

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

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Perform data mining and analytics for Quality Assurance (QA) in semiconductor Assembly & Testing processes
• Understand QA business workflows (e.g., SPC, 8D, defect management) and translate business needs into scalable data solutions
• Design and develop end-to-end data pipelines, including data ingestion, transformation, modeling, and visualization
• Develop analytical methods such as anomaly detection, trend analysis, and predictive modeling to enhance quality control
• Drive the transformation of quality management from manual processes to automated and intelligent systems
• Develop dashboards, reports, and automated QA-related business applications
• Collaborate with IT, data teams, and business stakeholders to integrate data platforms with operational systems
• Explore and implement AI/GenAI use cases in quality engineering, such as intelligent insights and automated reporting

About the Role

We are looking for a skilled and proactive Database Engineer to design, implement, and maintain robust, scalable, and secure database systems. You will play a key role in managing both cloud and on-premise data platforms, ensuring high performance, reliability, and data integrity across the organisation.

Key Responsibilities

Database Implementation & Operations

• Design, deploy, and manage databases in alignment with architectural standards and technical specifications
• Configure and maintain data storage solutions across relational, non-relational, and hybrid environments
• Manage cloud-based database infrastructures with a focus on cost efficiency, scalability, and performance

Performance & Optimisation

• Identify and implement database tuning strategies, including indexing and query optimisation
• Monitor and troubleshoot performance issues across relational and NoSQL database systems

Data Lifecycle & Reliability

• Define and enforce data lifecycle policies, including retention, archival, and deletion strategies
• Develop and maintain robust backup and recovery processes to ensure data availability and integrity

Security & Compliance

• Ensure database security, including access controls and adherence to organisational and regulatory requirements
• Collaborate with cross-functional teams to support data governance, compliance, and audit initiatives

Automation & Efficiency

• Automate routine database administration tasks to improve operational efficiency
• Leverage scripting and automation tools to streamline deployment, monitoring, and maintenance processes

Qualifications & Skills

• Bachelor’s Degree in Computer Science, Information Systems, or a related discipline
• Minimum 5 years of experience in database administration across multiple database architectures
• Strong experience with relational databases such as Microsoft SQL Server and PostgreSQL
• Hands-on experience with NoSQL databases (e.g., Cassandra, MongoDB) is an advantage
• Familiarity with object storage solutions such as AWS S3 or Nutanix Object Store
• Knowledge of graph databases (e.g., Neo4j) is a plus
• Strong expertise in performance tuning, indexing, and query optimisation
• Experience in data lifecycle management, including retention and archival strategies
• Proficient in scripting and automation using Python, Bash, or PowerShell
• Strong analytical thinking, problem-solving abilities, and stakeholder collaboration skills

Work Location: One North

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to kayla@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Qualifications & Requirements

Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or a related field.

Experience

• 5–10+ years of experience in data center engineering, capacity planning, or infrastructure management.
• Experience with hyperscale or colocation data centers preferred.
• Proven experience in capacity modeling and forecasting.

Strong knowledge of:

Data center power and cooling systems (UPS, HVAC, CRAC/CRAH)

Rack capacity planning and space optimization

Network and compute infrastructure basics

Familiarity with DCIM tools and monitoring systems.

Understanding of redundancy standards (e.g., N, N+1, 2N)

This is a contract role ending on 14 Apr 2027.

Our client, a reputable multinational fintech company, is seeking an experienced Data Engineer to join their growing data team in Singapore. This role offers the opportunity to work on scalable data platforms and drive data-driven decision-making across the organization.

Responsibilities

• Understand and analyze complex datasets to generate actionable insights
• Collaborate with BSA, domain teams, and stakeholders to gather requirements and translate them into scalable technical solutions, including ETL pipelines and data visualizations
• Design, implement, and maintain CI/CD pipelines for data engineering workflows
• Develop and maintain BI dashboards based on business requirements
• Ensure data security, governance, and compliance with organizational standards
• Troubleshoot and resolve data gaps, anomalies, and pipeline issues to ensure data integrity and reliability

Requirements

• 5+ years of experience in data engineering and SQL
• Experience with big data technologies (e.g., Hadoop, Spark, Hive)
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Proficiency in programming languages such as Python or Java
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
• Solid understanding of data modeling, data warehousing, and ETL design patterns
• Familiarity with Agile methodologies and product development lifecycle
• Experience with cloud platforms (e.g., GCP, BigQuery)
• Exposure to fintech or payments domain will be good to have

1 year contract under employment agency payroll

Work location: Changi Business Park

Salary: Up to $4290 (depend on experience, company do not provide bonus)

Requirement:

• Locals (Need to clear project clearance and pre-employment check)
• Must have strong data analysis experience
• Must have strong Excel skills (data consolidation, pivots, structured reporting).
• Good attention to detail with ability to manage large datasets accurately.
• Clear written and verbal communication skills.
• Ability to manage multiple requests and deadlines in a structured manner.
• 3–5 years of PMO, workforce/ resource management, or similar operational support experience.
• Prior experience in technology or large enterprise environments preferred
• Able to commit to a 1 year contract

Key Responsibilities:

Workforce Reporting & Analytics

• Prepare and maintain regular headcount/ workforce reports
• Consolidate data from multiple sources into clear management-ready views.

Staffing & Resource Management

• Coordinate end-to-end staffing requests including new hires, renewals, and replacements, ensuring completeness and data accuracy.
• Track and maintain staffing approvals, reviews and key initiatives, and follow up with stakeholders on outstanding actions.

Governance & Process

• Ensure staffing requests comply with approved demand–supply plans, budget controls, and internal guidelines.
• Documentation of staffing processes, templates, and changes.
• Highlight risks, exceptions, and data gaps for PMO and management attention.

Stakeholder Coordination

• Liaise with multiple stakeholders e.g. hiring managers, finance on all workforce-related matters.
• Support preparation of materials for governance forums and management approvals.

ES Recruitment Pte Ltd (09C4235)

Hong Chiew Guat (R1219860)

Responsibilities

• Perform production job support and track incidents to closure especially on the batch job recovery and failures
• Conducting EVMS (Enterprise Vulnerability Management System) assessment and patching to ensure data accuracy and integrity.
• Participating in on-call rotations to address urgent monitoring issues outside of regular business hours.
• Respond to alerts and incidents generated by monitoring systems, investigate root causes, and implement corrective actions to resolve issues promptly.
• Evaluate potential solutions relating to business intelligence and data warehouse and make recommendations to resolve business problems
• Liaise closely with vendors and project team members in project implementation, application testing, supporting application patches and upgrades in accordance with project methodologies and policies
• Support the team in defining, tracking and documentation of the technical deliverables expected
• Provide 24/7 primary application maintenance support on technical aspects

Requirements

• Degree in Computer Science, Information Technology, Computer Engineering or equivalent.
• Five (5) years’ experience in developing, implementing and maintaining data warehouse.
• Strong experience in using Informatica PowerCenter with ability to diagnose and troubleshoot ETL errors.
• Strong SQL skills using Oracle and SQL server databases.
• Thorough understanding of data warehouse concepts, dimensional design, and ETL optimization.
• Experience in data modelling and design.
• Ability to manage users, vendors and coordinate with multi-disciplinary teams.
• Strong analytical skills and ability to work independently, as well as in a team

Position Overview

We are seeking an experienced Research Director to lead our data centre research initiatives across the Asia Pacific region from our Singapore hub or another established data centre market where JLL operates. This senior role will drive thought leadership, market intelligence, and strategic insights for JLL's data centre practice, supporting client advisory services and business development across the rapidly expanding digital infrastructure sector.

Key Responsibilities

Research Leadership & Strategy 

• Drive the development and execution of comprehensive research strategies for mature and emerging data centre markets across APAC.

• Lead primary and secondary research initiatives that position JLL as the definitive source of data centre market intelligence in the region.

Market Analysis & Forecasting

• Conduct deep-dive analysis of data centre supply, demand, pricing trends, and investment flows.

• Track and analyze market activity across APAC's leading data centre developers, operators, tenants, and investors.

• Develop sophisticated forecasting models for colocation, hyperscale, on-prem and edge computing segments.

• Monitor regulatory developments, sustainability initiatives, and technological shifts impacting the sector.

Thought Leadership & Publications 

• Author flagship research reports, market outlooks, and white papers that establish JLL's intellectual capital in the data centre space.

• Present findings at industry conferences, client events, and media briefings.

• Collaborate with global research teams to ensure consistency and leverage international insights.

Client Advisory Support 

• Provide strategic research support for client engagements across capital markets, project and development services, facility management and occupier solutions.

• Develop bespoke research deliverables for institutional investors, developers, and technology companies.

• Support pitch presentations and new business development initiatives.

Stakeholder Engagement 

• Build and maintain relationships with key industry players including data center operators, cloud service providers, telecommunications companies, and institutional investors.

• Engage with government agencies and industry associations to stay ahead of policy and regulatory developments.

Team Development 

• Lead and mentor research analysts and associates across business lines and geographies.

• Foster a culture of analytical excellence and innovation within the research team.

• Collaborate with business line leaders to ensure research output aligns with commercial objectives.

Required Qualifications

• Advanced degree in Economics, Finance, Real Estate, Urban Planning, or related quantitative field.

• Minimum 8-10 years of experience in commercial real estate research. Previous experience in Asia Pacific markets strongly preferred.

• Deep understanding of data center fundamentals including power infrastructure, cooling systems, network connectivity, and operational requirements.

• Proficiency in Excel and data visualization platforms.

• Experience with GIS mapping and spatial analysis preferred.

• Comprehensive knowledge of APAC data center markets including regulatory frameworks, major players, and investment trends.

• Understanding of cloud computing, edge infrastructure, and emerging technologies driving data center demand.

• Familiarity with sustainability and ESG considerations in data center development.

• Exceptional written and verbal communication skills with ability to present complex analysis to diverse audiences.

• Proven track record of producing high-quality research publications and thought leadership content.

• Strong project management and team leadership capabilities.

• Previous experience at a leading commercial real estate services firm, investment bank, or data center operator.

• Established network within the Asia Pacific data center ecosystem.

• MNC Company
• Basic $3000 - $3500 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Kallang
• Working day: Monday to Friday
• Working hours: 9am to 6.15pm

Job Responsibilities:

• Opportunity: A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance
• Role: Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and company own software
• Objective: Not just updating existing data, but using it to guide sales direction and actions
• Additional Responsibilities: In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
• Other ad hoc duties as assigned

Job Requirements:

• Minimum Bachelor's Degree in Marketing, Business and Engineering or related field
• Proficiency in Excel. Knowledge of Modern Excel, PBI, Power Automate is a plus.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492