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
Foundry Data Engineer
Build and maintain Palantir Foundry ontologies, pipelines, and operational apps to model Nscale’s AI infrastructure and business workflows, partnering directly with teams to deliver trusted data products.
Lead Data Engineer
Lead a small team to design, build, and scale data pipelines and platforms using Python, SQL, and cloud tools, ensuring reliable data for analytics and ML products.
Senior Data Engineer
Build and maintain batch/real-time data warehouses and pipelines for a fintech brokerage, using Hadoop, Spark, Kafka, and cloud platforms to power global trading and research.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and enterprise data platforms using Databricks, Spark, and cloud services.
Cloud Data Engineer
Designs and maintains cloud data infrastructure on AWS and Databricks, building ETL pipelines and optimizing storage/processing for analytics using Python/Java/Scala.
Senior Data Engineer - Spark & Cloud Data Pipelines
Designs and optimizes cloud-based data pipelines and warehouses using Spark/PySpark, SQL, and real-time processing to support analytics and data science teams.
Data Engineer
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Senior Consultant - Data Engineer (AI & ML Data Platforms)
Design and deliver enterprise-scale AI-enabled data platforms, lead engineering teams, and implement cloud-based ML pipelines for clients using AWS, Azure, GCP, Snowflake, and Databricks.
Databricks Data Engineer
Build and optimize scalable data pipelines on Databricks using Spark and Delta Lake, implementing ETL/ELT processes and ensuring data quality for analytics and compliance.
Senior Data Engineer: Scalable Pipelines & AI Workflows
Architect and maintain scalable data pipelines and cloud infrastructure to power analytics and AI-driven workflows using Snowflake, AWS Redshift, and Athena.
Data Engineer
Design and build scalable cloud data pipelines and analytics infrastructure for a global climate-tech manufacturer, enabling data-driven decisions across teams.
Senior Data Engineer: Mission-Critical Data Pipelines
Design and build scalable data pipelines for national-security analytics, using modern platforms and mentoring junior engineers.
AI Data Engineer – Marketplace Intelligence & Data
Builds scalable data pipelines and infrastructure to power AI models for Shopee’s marketplace, ensuring data quality and enabling rapid experimentation.
Data Engineer: Build Scalable Pipelines & AI Insights
Design and build scalable data pipelines to feed AI/ML models and analytics for Apple’s Channel Sales team in ANZSA.
Senior Data Engineer — AI-Driven Data Platform
Build and maintain scalable data pipelines and systems on AWS, Snowflake, and ClickHouse to power analytics, AI, and product decisions at Goodnotes.
Senior Manager, Presales Consultant (AI & Data Engineering)
Drive Singapore’s digital transformation by advising high-growth tech startups on AI, data engineering, and cybersecurity solutions, assessing their credentials, and crafting scalable enterprise use cases.
Senior Data Engineer & AI Platform Lead
Leads data/AI platform architecture and ML pipelines for clients, designing secure, scalable solutions on AWS/Azure/GCP and deploying GenAI systems.
Data Engineer
Build and migrate data pipelines using SQL, dbt Core, and Snowflake for a cloud migration program supporting a large enterprise analytics platform.
Data Engineer
Designs and maintains scalable data pipelines and warehouses for a global game publisher, ensuring clean, reliable datasets for analytics and product decisions.
Data Engineer: Scalable Pipelines & AI (Databricks/AWS)
Builds scalable data pipelines on Databricks and AWS for a government agency, implementing medallion architectures and governance to support analytics and predictive modeling.