Top Data Jobs in Singapore

Lead global account strategy and growth for top-tier data centre customers. Build executive relationships, develop pipelines, drive large complex deals, coordinate cross-functional teams, influence product roadmap via customer insights, and run quarterly business reviews to secure multi‑million dollar opportunities and long‑term partnerships.

Develop and maintain high-performance components of a distributed data platform in C++, including storage engines, query/compute execution, RPC/networking, and distributed coordination; collaborate with research and engineering teams, troubleshoot production issues, and participate in code review and productionization.

Own and build a streaming-first data platform for high-volume IoT telemetry: ingestion, medallion modeling (bronze/silver/gold), semantic metrics layer, data quality, observability, database architecture, self-serve analytics, and LLM-friendly tooling. Drive roadmap, dashboards, and rapid operational insights across a global robot fleet.

Support data scientists to structure and manage operational manufacturing data, build predictive ML models, develop dashboards/visualizations (Power BI/MS Power Platform), and assist project management and stakeholder communications during a January–June 2027 internship.

Lead data analysis and automation for Compliance reporting, building ETL and analytics solutions with Python, SQL and Starburst; create Power BI dashboards; ensure BCBS 239 and data governance compliance; act as Compliance Data Steward; collaborate with stakeholders to improve data processes and conduct business impact assessments.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

The role involves developing technology policies, conducting research, coordinating AI efforts, and engaging with stakeholders to strengthen Singapore's digital economy.

The role involves researching technology policies, analyzing trends, developing strategies for emerging technologies, and coordinating efforts within IMDA for effective policy implementation and stakeholder engagement.

The Transformation Lead for AI in APAC will manage change and drive adoption of AI tools across the studios, engage stakeholders, and run training programs.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

Drive cloud and datacenter solution sales by pursuing qualified leads, generating pipeline, presenting tailored solutions, collaborating with pre-sales architects and vendors, running workshops, negotiating deals, managing opportunity and account plans, and building senior-level customer relationships.

Translate business strategy and product vision into implementable requirements for digital wealth platforms. Partner with wealth advisory, product, tech, data, UX, and operations to design intuitive advisory and portfolio-management journeys, optimize processes, leverage AI/data for analytics and personalised recommendations, ensure regulatory compliance, and drive delivery across Agile and Waterfall projects.

Lead design and maintenance of scalable data pipelines, ETL/ELT processes, and data warehouse architectures. Optimize infrastructure and data quality, build automated monitoring, support high-priority analyses, and partner with Product, Engineering, and GTM teams to deliver actionable data solutions.

Gather and analyze business and risk requirements, produce functional designs for Market Risk systems, assess impacts, create test plans, execute UAT/regression/simulation tests, manage enhancement timelines, and provide BAU support including data sourcing, extraction, and analysis for market and liquidity risk data stores.

Design, build, test, deploy and support Xceptor-based automation solutions. Create documentation, reusable components, training materials, and run UAT/SIT. Troubleshoot production, integrate with systems, mentor and onboard team members, and expand capabilities to adjacent automation technologies.

Support cost management for data centre projects including estimating, quantity take-offs, tender support, contract administration, cost tracking, monthly reporting, progress valuations, change control, value engineering, and maintaining audit-ready cost records under guidance of a Cost Manager.

Lead the development and deployment of AI models focusing on computer vision and text processing. Responsible for enhancing model performance and collaborating with teams to meet business needs.

Collect and analyze data related to user behavior and market trends. Develop data visualizations and support A/B testing for product features.

The Data Architect will design and maintain data architecture frameworks, create data models, and provide solutions for data architecture. Must drive change management and understand analytics trends.

The role requires managing large Big Data projects, focusing on Hadoop ecosystem architecture and development with specific technologies like Spark, Hive, and Java, among others.

The Big Data role requires expertise in Hadoop, Spark, and various development tools, focusing on Big Data analytics and architecture.

The Data Analytics Developer role requires experience in finance, specifically in banking and financial services, strong data analysis skills, and knowledge of PL/SQL.

The IBM FileNet/Data Cap Administrator is responsible for the installation, configuration, and administration of IBM FileNet and Datacap applications, as well as performing system maintenance and upgrades.

The Data Analyst will work with users and technical teams to implement data warehouse solutions, perform data quality checks, and deliver functional specifications. Banking experience is essential.

The Sr Big Data Engineer will develop data pipelines using big data technologies, manage projects, and implement data modeling for analysis while ensuring efficient querying and performance.