Data Engineering Jobs in Singapore
There are 1,620 open Data Engineering jobs in Singapore on freehire right now. 570 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 236
- 501-1000 employees 54
- 11-50 employees 21
- 51-200 employees 21
- 201-500 employees 3
- 1-10 employees 2
Staff/Senior Staff Web3 Big Data Engineer
Build and optimize OKX’s big-data platform for on-chain analytics, fraud detection, and AI-driven trading tools using Spark, Flink, Kafka, and vector databases.
Principal Systems Analyst, Data Platform
Oversee enterprise data platform operations—data warehousing, ETL pipelines, BI, and cloud analytics—driving modernization via CI/CD, cloud adoption, and AI-driven automation at a healthcare organization.
Data Engineer (VP)
Designs, builds, and scales enterprise-grade data pipelines and platforms for a bank, focusing on batch/streaming architectures, AI knowledge bases, and cloud-native infrastructure to support risk management, fraud detection, and intelligent automation.
Data Engineer (AVP)
Build and maintain data pipelines for a bank’s data warehouse and AI knowledge base, using Python, Spark, and cloud tools to support risk, fraud, and automation use cases.
[LTA-TRO] SENIOR/ EXECUTIVE DATA ENGINEER, TRAFFIC & ROAD IT
Data Engineer owning and scaling data infrastructure for traffic and road IT systems, building ETL pipelines and driving the data lifecycle on AWS cloud within agile squads at a government transport authority.
Consultant, Data Governance (IT Project Management)
This consultant role involves managing project governance, reporting, and delivery for strategic initiatives within the financial services sector. The position requires strong PMO experience and coordination across business and technology stakeholders.
Junior Data Engineer (Azure Databricks/Changi Business Park)
A Junior Data Engineer building Azure Databricks data pipelines, implementing Delta Lake and medallion architecture, and supporting Databricks Genie deployment for a modern data platform.
Senior Data Engineer
The Senior Data Engineer will design, deploy, and manage containerized data pipelines and lakehouse architectures. The role requires expertise in SQL, Python, Kubernetes, and orchestration tools like Apache Airflow to build robust, scalable data solutions.
Data Engineer (Databricks), Senior Associate, Technology Consulting
Designs and implements scalable, high-performance data pipelines on Databricks/AWS for EY’s clients, bridging business needs with technical execution in consulting projects.
Data Engineer
The Data Engineer will own the end-to-end design and delivery of data pipelines, models, and storage architectures. The role involves building data quality and governance capabilities while supporting AI and retrieval-based solutions using cloud-native technologies.
Analytics Data Engineer
Analytics Data Engineer at Aon works with stakeholders to build data pipelines using SQL, Python, and Databricks. They design data models, perform statistical analysis, and ensure data quality for analytics consumption.
Senior Python Delivery Lead — Gen AI & Data Engineering
Leads a 30+ member Python/PySpark data engineering team for a Trade Surveillance project using Q KDB, performing code reviews, coordinating with Bank stakeholders, executing delivery plans, managing RAID, and leveraging Gen AI to enhance productivity and quality.
Reporting and Analytics Developer / Data Engineer 1026
A Reporting and Analytics Developer/Data Engineer designs and deploys data systems, builds ETL pipelines, and collaborates with cross-functional teams to develop scalable data-driven products, working with data warehouses, lakes, and cloud technologies like AWS and GCP.
Senior Data Engineer
Build and lead secure, scalable data infrastructure for AI-driven semiconductor manufacturing, including ETL pipelines, streaming systems, and data lakes.
Lead Data Engineer
Designs and builds Spark/Scala pipelines to process large datasets, integrates Elasticsearch for querying, and deploys solutions on OpenShift. Optimizes performance, collaborates with DevOps, and ensures pipeline reliability.