Top Data Jobs in Singapore

The Senior Data Engineer develops and maintains data architecture, builds data processing pipelines, collaborates with data scientists, and ensures data governance, quality, and privacy.

The Senior Data Engineer will design and build scalable data pipelines, implement data lakehouse solutions, and optimize SQL workloads for cloud-native architecture while ensuring data quality and governance.

Design and develop reinforcement learning solutions for gaming, collaborate with teams, optimize agent performance, research methodologies, and analyze failures.

Join Razer as a Data Engineer to build data infrastructure for AI and machine learning, focusing on optimization, data pipelines, and collaboration with teams for AI-driven initiatives.

The Data Engineer will manage the end-to-end data lifecycle, collaborating with quantitative researchers to support investment strategies and ensure data quality and readiness.

Lead Data Engineers design and implement data solutions, manage projects, collaborate with stakeholders, and ensure data governance and security.

Plan and execute rolling upgrades across tens of thousands of ClickHouse clusters, own the full release pipeline, investigate and resolve production issues (on-call), and build automation and tooling to make large-scale database operations safe and repeatable.

The Account Executive engages with customers to sell Salesforce solutions, focusing on building relationships and developing strategies to meet customer needs.

Lead Data Scientists at Thoughtworks manage data science projects, collaborate with stakeholders, and develop data-driven AI strategies. They ensure data quality, oversee model deployment, and communicate insights effectively to influence decision-making processes.

The Senior Data Scientist will lead growth analytics, measure channel performance, build AI-powered tools, and partner with growth teams to enhance user acquisition and retention.

Role involves end-to-end software development for Enterprise Data Warehouse projects, focusing on data integration, analytics, and AI/ML while ensuring quality assurance and collaboration with technology teams.

Manage data analytics for decision-making by translating business questions into analytical outputs, maintaining reports, and ensuring data quality.

As a Transformation Consultant, you'll lead strategic projects, engage with clients, identify business opportunities, and support sales to enhance organizational capabilities.

The Growth Data Scientist will analyze complex datasets to improve ad performance, collaborate with teams, and influence product strategies.

The Cloudera Data Engineer is responsible for building and managing data pipelines and platforms, focusing on the Cloudera Hadoop ecosystem while collaborating with data teams.

Lead the design and implementation of a secure, scalable cloud data platform on AWS, integrating various tools for data management and analytics while ensuring compliance and security.

Lead the implementation of data analytics strategies, managing interdisciplinary teams to deliver data projects, overseeing budgets, and ensuring client engagement.

The role involves overseeing data center infrastructure, managing teams, optimizing processes, and ensuring operational efficiency in cloud operations.

The Data Scientist will support analytics projects, collaborate on predictive solutions, and assist in deploying machine learning models while engaging stakeholders across GlobalFoundries.

The Head of Data Discovery manages the bank's data discovery platform, ensuring data accessibility and compliance, while enabling analytics innovation across various business units.

Lead end-to-end development of computer vision and multimodal ML models for defect detection, segmentation and classification. Co-design AI-ready inspection cells integrating imaging, robotics and NDT hardware. Partner with data engineers on ETL and Databricks/AWS S3 architectures. Deploy and monitor models in production (on‑prem, cloud, edge). Translate shop-floor inspection requirements into scalable, repeatable digital inspection solutions and collaborate with engineers to productize models into applications and workflows.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

Lead development of personalization and recommendation systems using large-scale transactional data. Define model strategy, build and deploy scalable ML pipelines, run experiments to measure impact, mentor data scientists, and collaborate with Product and Engineering to drive customer engagement and transactions.

The Data Architect will define and maintain data architecture, drive data solutioning, establish governance frameworks, guide implementations, and collaborate with teams in the healthcare sector.

Responsible for managing and expanding enterprise accounts, driving revenue growth through strategic partnerships, client engagement, and deal closure. Requires influencing senior stakeholders and executing complex sales cycles.