Total 3,918 job vacancies in Singapore

If you’re outgoing, ambitious, and ready to grow — we’ve got a spot for you 

· 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

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)

If you’re outgoing, ambitious, and ready to grow — we’ve got a spot for you 

Requirements:

• Excellent ethics and positive learning attitude
• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)
• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm
• Lead and drives a team towards a common goal
• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system
• Performance based
• BUSINESS ADVANCEMENT
• Highly motivated, FUN and FAMILY-liked environment
• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE! We regret to inform you that only shortlisted candidate will be notified.

We are looking for a creative and driven Creative Events Marketing Executive to engage clients, promote products, and contribute to marketing campaigns.

No experience required — full training and mentorship provided for individuals eager to learn and grow in sales and marketing.

Responsibilities

• Represent and promote client products and services to drive brand awareness and customer acquisition
• Engage customers through face-to-face marketing and brand promotion activities
• Work with the team to achieve campaign targets

Requirements

• Strong communication and interpersonal skills
• Positive attitude with a proactive, willing-to-learn mindset
• Comfortable working in a fast-paced, people-facing environment
• No experience required — fresh graduates welcome

What We Offer

• Structured training and mentorship
• Fast Career progression
• Travel Opportunities
• Performance-based incentives and rewards
• Supportive, dynamic, and growth-driven team environment