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Senior data engineer at OCBC Bank in Singapore who designs and builds cloud-native data pipelines and lakehouse solutions for real-time analytics at scale. Day-to-day work centers on Spark, PySpark, Apache Iceberg, and open data catalogue frameworks, using strong Python and SQL skills in a banking environment.
Lead Software Engineer on JPMorganChase's Electronic Trading Technology team in Singapore, designing and optimizing real-time data pipelines, APIs, and analytics tools for trading and research using Python/KDB, while applying AI to automate data engineering and SDLC workflows and mentoring a global team.
A Practice Customer Engineer specializing in Data Analytics at Google Cloud, partnering with sales teams to differentiate Google Cloud by designing data foundation architectures and building MVPs that demonstrate customer value, while providing architectural guidance to technical and executive stakeholders.
Lead Software Engineer in JPMorgan Chase's Electronic Trading Technology team in Singapore, designing high-performance, scalable solutions for real-time trading and research. Day to day involves leading analytics initiatives, guiding engineers and vendors, and advancing AI-enabled data engineering using Python, KDB, and cloud technologies.
Data Analytics Engineer at Singapore's Internal Security Department building data analytics and AI solutions for national security problems. Day-to-day involves server-side development with Python web frameworks (Flask, FastAPI), Apache Spark, Oracle and Linux, plus integrating big data, graph databases, LLMs and agentic AI alongside data scientists and engineers.
Data engineer at PwC Singapore designing and building ETL pipelines on Databricks and Microsoft Fabric for healthcare analytics: translating analytics requirements into data models, developing ETL code, and validating quality through unit, integration, and UAT tests. Core stack is Databricks and SQL, with Python, C#, and PowerShell for dashboards.
Argyll Scott is seeking a Senior Data Engineer in Singapore to design scalable data platforms and reliable pipelines for analytics and ML initiatives, collaborating with product and analytics teams on real-time personalized customer experiences. Core stack: SQL, Python, BigQuery, dbt, and Airflow across GCP/AWS/Azure.
This role partners with business units to gather data requirements, translate them into technical specifications, and design transformation logic and data models in Redshift/S3. Day to day, the person also builds interactive Tableau dashboards, with a focus on data quality, governance, and self-service analytics.
Consultant/Associate at PwC's Southeast Asia Advisory Technology Strategy practice who builds ETL strategy and pipelines, designs data models, and ensures QA across data pipelines for client analytics initiatives, primarily using Databricks, SQL/T-SQL, and cloud platforms.
PwC Southeast Asia Consulting is hiring an Associate-level data engineer to develop ETL strategies and logic, design data models, drive data mapping with client teams, and QA/optimize ETL code for timely analytics delivery. The core stack is SQL, Databricks, Microsoft Fabric, Python, C#, and PowerShell.
Architect and maintain the data models behind SemiAnalysis's semiconductor industry models, research, and consulting work. The engineer works autonomously across a distributed team to ensure data accuracy and build robust, modular data systems for analytics and client delivery, with growth opportunities in data modeling and AI infrastructure.
A data engineering role focused on business intelligence: gathering reporting requirements from business stakeholders, building curated datasets and dimensional models in Amazon Redshift/S3, and developing Tableau dashboards and reports. Requires 3+ years in data engineering/BI with strong SQL and AWS experience; based in Singapore.
Data engineer focused on business intelligence: gathering reporting requirements from business units, building curated data models in Amazon Redshift/S3, and delivering Tableau dashboards and reports. Core stack is SQL, AWS (Redshift, S3, Glue), and Tableau, with 3+ years of data engineering or BI experience required.
Synapxe is hiring a Data Engineer on a 2-year direct contract in Singapore to drive data migration initiatives. Day to day, the person designs scalable data architectures, builds ETL pipelines, and ensures data quality using AWS, Databricks, and Informatica IDMC, delivering analytics with Tableau or Power BI.
Senior Data Engineer at OCBC, one of Asia's leading banks, designing cloud-native data pipelines and lakehouse solutions using Spark, PySpark, Apache Iceberg, and real-time streaming. Day to day involves migrating legacy SQL workloads to the cloud, building ETL/ELT with Python and Linux scripting, and implementing data governance/catalog tooling like OpenMetadata and DataHub.
PwC Southeast Asia Consulting is hiring an Associate-level Data Engineer Consultant for healthcare engagements. Day to day the person designs and builds ETL logic and data models, writes test scripts, performs QA and optimization, and liaises with client stakeholders. Core stack: Databricks, Microsoft Fabric, SQL (SSIS, T-SQL), Python, C#, PowerShell.
Data engineer consultant in PwC Southeast Asia Consulting's healthcare practice who designs ETL strategies, data models and test scripts, then builds, QA's, optimizes and fixes ETL pipelines in Databricks and Microsoft Fabric using SQL, Python, C# and PowerShell.
A data engineer on Ambition Singapore's data and analytics team builds data pipelines, designs data models, and delivers interactive Tableau dashboards powered by AWS Redshift, S3, and Glue, translating business requirements into technical specifications.
OCBC, Singapore's longest-established bank, is hiring a Senior Data Engineer to design cloud-native data pipelines, lakehouse solutions with Apache Iceberg, and real-time streaming systems using Spark/PySpark, while helping migrate legacy SQL workloads and supporting data governance tools like OpenMetadata and DataHub. Requires at least 3 years of relevant experience in a cloud data engineering or
A senior engineer who owns production Elastic Stack and Kafka platforms: designing ingestion pipelines, administering Elasticsearch clusters, operating Kafka, automating RHEL/Ubuntu Linux with Python, Bash and Ansible, and running CI/CD while troubleshooting live systems on virtual and physical infrastructure.
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