Data Engineering Jobs in Singapore
There are 1,623 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%
- analytics 50%
- data-engineering 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 467
- Lead 111
- 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
Senior Data Engineer
Design, deploy, and manage containerized data pipelines and data lake/lakehouse architectures using SQL Server, Python, Kubernetes, Apache Airflow, and Spark.
Senior Network Capacity & Data Engineer
Senior engineer plans and optimizes global network capacity by analyzing traffic, predicting growth, and recommending hardware upgrades using tools like SevOne and ThousandEyes.
Analyst, Data Governance
The Data Governance Analyst supports the implementation of data governance and quality management programs across the APAC region. The role involves monitoring data quality, coordinating with stakeholders, and utilizing tools like Alteryx, Python, or R to perform data analysis and reporting.
Data Governance, Consultant
Data Governance Consultant developing and executing data governance strategies, frameworks, and quality programs at AIA Singapore, using tools like Data360, Databricks, SQL, and BI platforms.
Senior Data Engineer (Hadoop Data Lake)
This role involves managing Hadoop clusters and designing data processing pipelines for banking applications. The engineer will work with technologies including Spark, Hive, Elasticsearch, and Informatica to process large volumes of structured and unstructured data.
Deputy/Assistant Director, Data Governance officer (Contract)
Oversees MAS’s data governance policies and enterprise data catalogue, collaborating with stakeholders to improve data accountability, discoverability, and responsible use across government functions.
Senior/ Data Engineer
Designs, implements, and maintains scalable, secure data pipelines and processing systems for government/defense clients, focusing on ETL, data warehousing, and real-time analytics with technologies like Spark, Hadoop, and Python.
M01 - Cloud Logging & Data Platform Engineer
Design, build, and operate a logging and data platform spanning on-premise, AWS, Azure, GCC, and hybrid environments for a government client, handling log ingestion, telemetry, data pipelines, and infrastructure as code.
M25 - Data Engineer
Build and run production-grade data pipelines that ingest, transform, and serve trusted datasets for analytics and ML across AWS/Azure and on-prem systems.
Data Engineering Project Manager
Lead and deliver data engineering programs by managing project delivery, coordinating cross-functional teams, engaging stakeholders, and ensuring delivery governance, risk, and issue management.
Data Engineer
Data Engineer building and modernizing cloud data pipelines on AWS using Databricks (PySpark, Delta Lake) and Informatica, with a focus on ETL/ELT, data migration from legacy systems, and medallion architecture.
Senior Data Engineer (Databricks)
Senior Data Engineer builds and maintains scalable data pipelines and platforms using Databricks, Python, SQL, and cloud tools to support analytics and reporting in Singapore.
Data Engineer
Senior Data Engineer builds and maintains data pipelines, warehouses, and governance for government agencies using cloud platforms, Databricks, and Python/SQL.
Senior Data Engineer - MPID Team
Build and optimize Shopee’s e-commerce data warehouse and pipelines, supporting BI, data products, and ML algorithms with big-data tech like Spark and Kafka.
Senior Data Engineer
Lead the design and scaling of high-throughput distributed data pipelines and storage systems for Luma's multimodal foundation models and Physical AI, using Python, Spark/C++/Rust, and PyTorch/Ray.
Data Engineer
Data Engineer building and operating high-throughput distributed data pipelines for multimodal foundation models and Physical AI at Luma AI in Singapore, using Python, distributed storage, and GPU environments like PyTorch and Ray.