Top Data Jobs in Singapore

The role involves developing backend services, building data pipelines, optimizing storage, contributing to real-time data streaming, and collaborating on technical solutions.

As a Data Engineer at BJAK, you'll design and maintain data pipelines, manage data models, ensure data quality, and collaborate with teams to deliver reliable datasets.

Own and maintain the analytics stack: implement tracking from user interaction to Mixpanel/GA4/AppsFlyer via Segment, manage infrastructure with Terraform, audit pipelines and schemas, translate business needs into tracking, and configure troubleshooting for mobile/web attribution, deep-linking, and postbacks.

Lead the development of AI and ML solutions for underwriting, manage a team of data scientists, and ensure compliance and governance in initiatives.

The Senior/Lead Data Engineer designs and optimizes data solutions on Alibaba Cloud, develops data pipelines, manages data warehouses, and ensures data quality and compliance.

The Platforms and Data Engineer will develop and manage high-performance analytics solutions, design data transformation processes, maintain data systems, and support AI projects.

As a Data Analytics Intern, you will assist in data preparation, analysis, reporting, and insights generation, gaining hands-on experience in the digital data lifecycle.

The Data Annotation Specialist supports data processing for annotation, ensures quality data delivery, collaborates with customers, and identifies process improvements.

Data Engineers at Thoughtworks design and maintain software architecture for data applications, develop data processing pipelines, and collaborate with data scientists on model implementations.

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.

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.