Data Engineering Jobs in Singapore
There are 1,620 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%
- 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 234
- 501-1000 employees 54
- 11-50 employees 21
- 51-200 employees 21
- 201-500 employees 3
- 1-10 employees 2
Data Engineer, Growth
Build and maintain data pipelines to track user growth metrics and feed ML models for TikTok’s global products like TikTok and Lemon8.
Big Data Engineer, Recommendation Architecture
Designs offline data architectures for TikTok’s large-scale recommendation systems, building scalable storage and computing systems while applying data mining and NLP to extract insights from big datasets.
Healthcare Data Engineer: Build Pipelines & BI Dashboards
Build and maintain data pipelines and BI dashboards using Microsoft tools to deliver reliable healthcare analytics and insights for hospital operations.
Senior Data Engineer
Senior Data Engineer builds and optimizes petabyte-scale ETL pipelines and dbt models, integrating AI tools to automate metadata, monitoring, and performance tuning for a global travel-experiences platform.
Junior Data Engineer
Build and optimize data pipelines and infrastructure to support large-scale generative AI model training and inference, using Python, SQL, and cloud platforms.
NLP & GenAI Data Engineer — AI Pipelines & ML Ops
Designs and maintains scalable data pipelines for NLP, GenAI, and ML workloads to extract insights and support AI initiatives in a product-focused team.
AI Data Engineer Intern
Build and optimize cloud-native data pipelines that power AI/ML models and analytics for a global gaming company, using Python, SQL, AWS, and Airflow.
Data Engineer/ Senior Data Engineer
Designs and maintains scalable data pipelines and architectures, builds analytics tools, and optimizes data workflows for business insights using SQL, big data tech, and ETL processes.
AI & Data Engineer (GenAI)
Build and maintain Metabase dashboards, secure databases, and support an AI scheduling engine using SQL, BI tools, and ML concepts.
Data Engineer
Designs and builds data pipelines and warehouses for a bank using Hadoop, Spark, and Teradata, enabling analytics and ML model development.
Data Engineer
Build and optimize SQL-based data pipelines and ETL workflows using Informatica and Python to ensure high-performance data flows for enterprise clients.
Data Engineer
Build and scale a global data platform for a consumer internet company, designing data warehouses and pipelines to support content, e-commerce, and advertising ecosystems.
Data Engineer
Design and build data pipelines, warehouses, and lakes for enterprise clients, using SQL, Python, and cloud platforms like Snowflake.
Data Engineer (ML/AI) - Risk Data
Build and maintain ML infrastructure for credit-risk systems, deploying models, optimizing pipelines, and improving data quality and observability.
Backend Engineer - Business Security Data Platform (2027 Graduate)
Builds and maintains backend systems for Shopee’s anti-fraud and data security platforms, using Go/Java/Python and big-data tools like Spark/Flink to support risk analysis and model training.
AI-Enhanced Data Engineer for Reports & Dashboards
Build automated reports, dashboards, and AI-assisted workflows using SQL, Python/PySpark, and ETL tools for data-driven insights.
Data Engineer: Scalable Pipelines & Analytics
Design and maintain scalable data pipelines and warehouses for BI and analytics, collaborating with cross-functional teams to ensure data quality and security.
M23 - Data Engineer
Build and maintain scalable data pipelines and platforms for geospatial analytics to support education planning and infrastructure decisions using Python, SQL, and cloud-native tools.
M19 - Data Engineer
Designs and maintains scalable ETL/ELT pipelines, cloud data platforms (AWS/Azure/GCP), and Databricks solutions to support enterprise analytics and reporting.