Data Engineering Jobs in Singapore
There are 1,619 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
Senior Data Engineer (Financial Services)
Senior Data Engineer builds and optimizes enterprise-scale data pipelines and architectures for financial clients using Databricks, PySpark, and SQL.
KDB+ Real-Time Trading Data Engineer
Builds and optimizes KDB+/q-based tick architectures and real-time market data pipelines for trading systems, focusing on low-latency analytics and production support.
Data Engineer - Global Equity Data & Quant Platforms
Builds and maintains global equity datasets for quantitative research, mapping tickers and validating data across markets using Python, SQL, and financial data APIs.
AWS Data Engineer: Scale Data Lakes with PySpark & ETL
Design and maintain scalable AWS data pipelines using PySpark, SQL, and Terraform to build and optimize data lakes and lakehouse architectures.
AI Data Platform PM: Scale Pipelines & Governance
Own TikTok’s AI data annotation platform’s infrastructure, defining pipelines and governance to scale labeling operations while ensuring data quality and compliance.
Data Engineer (AWS) - Build Scalable PySpark Pipelines
Build and maintain scalable PySpark data pipelines on AWS using Glue, Lambda, and Step Functions, with Terraform for IaC and CI/CD for deployment.
Junior/Senior Data Engineer - Permanent Role
Designs and maintains scalable data pipelines, ETL processes, and warehouses to collect, process, and analyze financial data in real-time and batch modes using tools like Informatica, Spark, and Python.
Senior/Staff Data Engineer, Analytics and Reporting
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using dimensional modeling, Spark/Flink, and cloud data tools to power business decisions.
Senior/Data Engineer
Build and maintain scalable ETL/ELT pipelines and data warehouses using Python, SQL, and cloud platforms to power analytics and AI products.
Lead AI & Data Engineer — Big Data & ML
Lead AI & Data Engineer builds big-data analytics, computer-vision and ML systems to enhance Singapore’s safety and security.
Big Data Engineer, Web3
Build and maintain large-scale data infrastructure for a top crypto exchange, integrating AI agents to automate scheduling, cost optimization, and incident response across distributed systems.
Data Engineer
Design and maintain scalable data architectures, ETL pipelines, and data lakes for a national library system using AWS, SQL, Python, and Airflow.
Lead Software Engineer - Data Engineering, Python/KDB
Lead a team building high-performance data pipelines and real-time trading systems using Python and KDB, while applying AI to automate workflows and enhance analytics for global financial markets.
Senior Manager, Presales Consultant (AI & Data Engineering)
Senior role advising government and startups on AI and data engineering solutions, designing use cases, and leading presales for frontier tech like LLMs and agentic AI.
Quantitative Data Engineer
Build and maintain high-performance data pipelines and warehouses for a quantitative hedge fund, integrating market data and supporting trading strategies with C++ and Python.
Senior Data Engineer: Cloud ETL & Databricks
Designs and builds scalable cloud data pipelines and warehouses using Databricks and AWS/Azure/GCP to power analytics and reporting.
Data Engineer (Teradata, Informatica, Apache Spark)
Build and optimize ETL/ELT pipelines using Teradata, Informatica, and Spark to load and transform enterprise data for warehouses and MDM systems.