Tech jobs
Job listings
M11 - Data Engineer
Build and maintain scalable ETL/ELT pipelines using SSIS, Snowflake, Python, and cloud tools to move and transform data for analytics and products.
Data Engineering/Architecture Manager (Public Services)
Design and implement enterprise data architecture, ETL pipelines, and governance frameworks for public-sector clients using SQL, cloud platforms, and big-data tools.
Data Engineer (Azure Databricks)
Build and maintain Azure Databricks pipelines and Delta Lake layers, integrate with ADLS Gen2, and support Databricks Genie deployments for self-serve analytics.
Senior Data Engineer (Financial Services)
Senior Data Engineer Consultant builds and validates scalable data pipelines and architectures for enterprise clients, using Databricks, PySpark, and SQL to enable analytics and reporting.
Data Engineer
Designs and maintains scalable data pipelines and warehouses for a global game publisher, ensuring clean, reliable datasets for analytics and product decisions.
Data Engineer (ESG)
Build and maintain data pipelines and warehouses for a Singapore government agency, ensuring clean, secure, and accessible datasets for analytics and policy work.
Senior / Data Engineer
Build and maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, merging datasets into a centralized warehouse and preparing data for AI/LLM tools.
Data Engineer (MSF)
Build and maintain data pipelines and infrastructure to turn raw data into insights for strategic decisions, using Python, SQL, and cloud tools.
Data Engineer (ACRA)
Builds and maintains secure, scalable data infrastructure for Singapore’s government, including ETL pipelines, Lakehouse architecture, and DataOps practices using AWS, Databricks, and Delta Lake.
Data Engineer [Cloud]
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Data Engineer – Migration & Analytics
Builds SQL-based ETL pipelines to migrate and validate banking data, using Hive and Impala for large-scale processing in Singapore.
Databricks Data Engineer
Build and maintain scalable data pipelines on Databricks using PySpark, refactor legacy ETL to modern ELT, and ensure data quality and reliability for analytics.
Data Engineer
Build and maintain data pipelines, models, and Power BI dashboards to deliver reliable healthcare analytics and reporting for hospital operations and decision-making.
Data Engineer
Design and maintain scalable data pipelines and warehouses to power analytics and ML, using SQL, Python/Java, and tools like Spark and Presto.
Data Engineer
Build and maintain data pipelines, metadata catalogs, and secure data delivery systems for a government health agency using SQL, PySpark, and Azure.
Assistant VP (Data Engineering)
Leads a team to design and implement data pipelines and warehouses for a large bank, ensuring secure, high-quality data access for analytics and compliance.
Senior Data Engineer – ETL, Modeling & Data Pipelines
Design scalable data models and ETL pipelines for a global fintech platform, enabling BI and AI workloads while ensuring data governance and quality.
Senior Data Engineer: Build Scalable Data Pipelines & ML
Senior Data Engineer builds and maintains scalable data pipelines and infrastructure to support machine learning and business insights at a Singapore-based AI company.
Data Engineer - Banking
Design and deploy containerized data pipelines on OpenShift for banking analytics, using Spark, Hadoop, and Python to transform and enrich financial data for ML and reporting.
Databricks Certified Data Engineer
Design and maintain scalable data pipelines and platforms using Databricks, PySpark, and cloud ecosystems for enterprise clients across multiple industries.