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
Data Engineer, Ad Data at TikTok
Build and maintain scalable ETL pipelines and data warehouses to power TikTok’s ad platform, ensuring high-quality data for advertiser insights and decision-making.
Singapore Finance Data Engineer
Build and maintain AI-driven data pipelines and REST APIs on AWS to process financial datasets and support investment decisions using Python and cloud workflows.
Senior Data Engineer: Scale Pipelines & Insights
Build and scale data pipelines and infrastructure using Snowflake, AWS, and streaming tech to power analytics and insights for a fast-growing product company.
Senior Data Engineer – Singapore
Design and implement scalable cloud data architectures, lead Data Lakehouse development, and build ETL/ELT pipelines using Python, SQL, and Spark for a government-linked AI platform.
[LTA-TRO] SENIOR/ EXECUTIVE/ DATA ENGINEER - TRANSPORT AI PROGRAMME
Build and maintain data pipelines and infrastructure for AI models that optimize Singapore’s transport network, ensuring high-quality, real-time data from sensors and systems is reliably ingested and governed.
Snowflake Data Engineer – ELT & Data Warehouse
Build and maintain cloud-native data pipelines and Snowflake-based data warehouse for a fintech client, using ELT and dimensional modeling to deliver analytics-ready data.
Senior Big Data Engineer - DaaS & Scalable Infra
Build and scale Xiaomi’s data platform, designing DaaS pipelines and ETL tools to support analytics and data science teams across internet businesses.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable pipelines and cloud data platforms (Spark, Kafka, Snowflake/BigQuery/Databricks) to power AI and analytics for a regional logistics group.
Senior Data Engineer: Cloud Pipelines & Governance
Build and optimize cloud data pipelines on Azure and Databricks, enforce governance and security standards, and support enterprise data transformation projects.
Senior Data Engineer - Joint
Designs and maintains cloud-native data platforms and pipelines for intelligence operations, using Kafka, PostgreSQL, Kubernetes, and event-driven architectures.
Data Engineering, Lakehouse and AI Data Platform Engineer, Vice President, Singapore Singapore [...]
Build and maintain scalable data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases.
Senior Data Engineer
Architect and maintain scalable data pipelines and warehouses (Snowflake, Redshift, Athena) to power analytics and AI workflows, using Python, SQL, Airflow, and Kafka.
Data Engineer (AI, GenAI & MLOps Platforms) Consultant/ Senior Consultant
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Senior Cloud Data Engineer - Generative AI on Azure & AWS
Designs and leads cloud-native data platforms for AI workloads on Azure and AWS, mentors teams, and ensures secure, compliant AI delivery.
Staff Data Engineer-1
Build and scale AI-powered data platforms, integrating LLMs like OpenAI/Anthropic and designing real-time streaming systems to support enterprise GenAI applications.