Data Engineering Jobs in Singapore
There are 1,620 open Data Engineering jobs in Singapore on freehire right now. 575 of them were posted recently. The skills employers ask for most often are python, data-pipelines and sql.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| SGD | month | SGD 7,800 | SGD 10,250 | SGD 11,000 | 20 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- python 57%
- data-pipelines 56%
- sql 52%
- data-engineering 51%
- analytics 50%
- cloud 49%
- etl 43%
- data-quality 41%
How the work is done
- Hybrid 47 · 3%
- Onsite 17 · 1%
- Remote 11 · 1%
Visa sponsorship offered in 66% of the 125 postings that state a position on it.
Seniority
- Senior 464
- Lead 112
- Intern 60
- C-level 26
- Junior 21
- Staff 21
Who is hiring
- 1000+ employees 234
- 501-1000 employees 54
- 11-50 employees 21
- 51-200 employees 21
- 201-500 employees 3
- 1-10 employees 2
Data Engineer( Lead)
Lead a team to modernize data platforms by migrating to AWS and building scalable pipelines with Databricks, Informatica IDMC, and Tableau.
Cloud Data Engineer
Designs and builds cloud data pipelines on AWS and Databricks, architecting storage solutions and optimizing ETL workflows for analytics and reporting.
Junior Data Engineer
Builds and maintains big-data pipelines using Hadoop, Spark, Hive, and SQL to transform raw data into analytics-ready datasets.
Data Engineer- A26266
Data Engineer to build and maintain AI evaluation frameworks for Singapore’s public-sector digital initiatives, focusing on NLP, generative AI, and responsible AI practices.
Senior Data Engineer - Automation & Snowflake Pipelines
Senior Data Engineer builds automated data pipelines and Snowflake integrations for a regulated banking environment, enabling scalable data onboarding and ML deployments.
Data Engineer (AWS)
Build and maintain scalable data pipelines on AWS using PySpark, Glue, Lambda, and Terraform, while automating deployments with CI/CD.
Senior Data Engineer — Scalable Pipelines & Cloud
Designs and maintains scalable data pipelines and cloud-based data products, ensuring accurate data delivery and governance across warehouses, lakes, and virtualization layers.
Data Engineer: Scalable Pipelines & Live Dashboards
Build and maintain scalable data pipelines and live dashboards, collaborating with Data Science, BI, and Data Architecture teams to support analytics and decision-making.
Data Engineer (Big Data)
Build and maintain scalable data pipelines, integrate systems, and improve data quality for analytics and modeling in a cloud or data-lake environment.
VP, Data Engineering & Lakehouse Platform Lead
Design and build enterprise-scale data ingestion frameworks and Lakehouse platforms using Java/Python/SQL and Spark to deliver trusted, AI-ready data assets for a large bank.
Data Engineer: Build Scalable AWS Pipelines
Designs and builds scalable AWS data pipelines using Glue, Redshift, and S3, implementing ETL/ELT workflows and optimizing for performance and reliability.
Senior Data Engineer (ETL, Modeling)
Design and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Senior Data Engineering Leader: Architecture & Mentorship
Lead OCBC’s data architecture, build scalable pipelines, and mentor engineers to ensure secure, analytics-ready enterprise data solutions.
M16 - Data Engineer
Build and maintain scalable data pipelines and platforms, focusing on geospatial data ingestion, transformation, and analytics for government sources using Python, PostGIS, and cloud tools.
M13 - Data Engineer
Build and maintain AWS-based data pipelines and Redshift warehouses, using Glue, Lambda, and CI/CD to ingest, transform, and optimize data for scalable analytics.
Senior Data Engineer - Build LargeScale Data & AI Platforms
Design and build scalable data platforms to support AI, analytics, and business intelligence initiatives for a Singapore-based enterprise undergoing digital transformation.
M22 - Data Engineer
Design and maintain scalable data pipelines, ETL processes, and data warehouses using Python, SQL, and cloud tools to support analytics and business intelligence for enterprise clients.
Lead Data Engineer, Analytic Platform
Lead a team building AI-powered data pipelines, vector databases, and multi-agent orchestration for fraud detection and risk mitigation at a large-scale platform.
Data Engineer
Build and maintain scalable data pipelines in Python and AWS to feed AI platforms and BI tools, ensuring high-quality data for analytics and decision-making.