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
CDG - Big Data Engineer Intern
Build and maintain data pipelines and reporting systems for Tencent’s overseas advertising platform using big data tools like Spark and ClickHouse.
Data Engineering, Lakehouse and AI Data Platform Engineer, Analyst/ Associate, Singapore
Build and maintain Goldman Sachs’ Lakehouse and AI data platform, designing scalable pipelines, curated datasets, and data-quality controls to power analytics and AI use cases in a fast-paced finance environment.
Data Engineer - AVP
Build and maintain data pipelines and ETL processes for a large bank, using Python, SQL, Hadoop, and DBT to enable analytics and reporting across Asia.
Junior Data Engineer
Builds and maintains data pipelines, writes Python/SQL to transform raw data, and creates Power BI/Looker dashboards for business insights.
Data Engineer Intern
Intern role assisting with AI-powered features in enterprise apps, data prep for ML models, and monitoring model performance in a global gaming company.
AI Data Engineer
Build and maintain AI-powered data pipelines for clinical and sensor data, integrating with cloud platforms and AI algorithms to support healthcare analytics.
AI Data Engineer
Design and build AI-powered pipelines to ingest and extract content from documents using OCR, LLMs, and multimodal AI for scalable data processing.
AI-Powered Data Engineer
Build and deploy AI models to analyze data, generate insights, and improve business performance using Python, SQL, Spark, and AWS.
Senior Commodities Data Engineer — Pipelines & AI
Designs and maintains scalable data pipelines and automation for commodities datasets, improving reliability and enabling AI-driven innovation at Bloomberg.
Data Engineer
Builds and maintains global equity data pipelines for a quant fund, cleaning and aligning market data from vendors like Bloomberg and Refinitiv to power AI-driven trading strategies.
Data Engineer
Build and maintain global equity datasets for a private fund, ingesting vendor data and mapping tickers across exchanges and systems to support quant research and trading.
Senior Data Engineer: Databricks AI Pipelines
Design and build scalable data pipelines on Databricks, integrate structured and unstructured data, and optimize workflows for AI-driven analytics and production systems.
Data Engineer: AI Infrastructure & Pipelines
Build and optimize large-scale data pipelines to support AI model development, including ETL, data cleaning, and infrastructure for robust data delivery.
Data Engineer (AI Infrastructure)
Build and optimize large-scale data pipelines to support AI model development using Python, Spark, and SQL.
Data Engineer
Build and maintain data pipelines and infrastructure for a fast-growing multi-currency fintech wallet, enabling analytics, AI agents, and customer-facing features across APAC markets.
Data Engineer
Build and maintain data pipelines, warehouses, and ML models on Azure Databricks using Python, Spark, and TensorFlow to power analytics and predictions for a global logistics firm.
Data Engineer
Design and build scalable cloud data platforms, ETL/ELT pipelines, and lakehouse solutions using Python, Spark, Kafka, and Airflow to support enterprise AI initiatives.
Data Engineer Data Engineering & Analytics Team (Data & AI)
Design and maintain scalable data pipelines, ETL/ELT processes, and data models to support analytics and reporting for a clean-energy company.
Data Engineer
Builds and maintains data pipelines, dashboards, and DevOps tooling for clients, using Python, SQL, and visualization tools like Tableau.