Data Engineering Jobs in Singapore
There are 1,619 open Data Engineering jobs in Singapore on freehire right now. 571 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 53%
- 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 466
- 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
Data Engineer (Azure/Snowflake)
Designs and builds modern data ingestion pipelines on Azure/Snowflake, migrating legacy ETL processes to scalable, reusable components for real-time and batch data processing.
Data Engineer (ETL & PySpark)
Design, develop, and optimize scalable ETL/ELT data pipelines using Python, PySpark, and SQL for a Singapore-based consulting firm serving banking clients.
Data Engineer (Content Processing)
The Data Engineer will build and maintain large-scale pipelines to process unstructured data, integrating AI models and vector embeddings to support national security analytical systems. The role focuses on high-throughput data transformation, hybrid search indexing, and multimedia processing.
Data Engineer: Azure/Snowflake Ingestion & Pipelines
Data Engineer building and migrating ETL pipelines to MS Azure and Snowflake, designing batch and near-real-time ingestion patterns in a hands-on production role.
Data Engineer (Content Processing)
Design and maintain high-throughput pipelines that ingest and transform unstructured data into vector embeddings for semantic search, powering national security analytics.
Databricks Data Engineer: Build Scalable Pipelines & Insights
Build and maintain scalable data pipelines on Databricks using PySpark and Python to deliver government analytics solutions.
Data Engineer: Real-Time Pipelines & Cloud Data
Data engineer designing and deploying data warehouses, data lakes, and real-time pipelines using SQL, Python, SSIS, and cloud platforms (AWS/GCP/Azure), building ETL/ELT processes and backend APIs for analytics applications.
Snowflake Data Engineer – Cloud ETL & DW Pipelines
Hands-on Snowflake Data Engineer designing, building, and operating ingestion and ELT pipelines for a cloud-native analytics platform on AWS and Snowflake, including dimensional modeling, SQL optimization, and data quality assurance.
AI Data Engineer
Design and build secure, explainable AI and data pipelines in Python to deliver analytics and automation solutions for public-sector and healthcare clients.
Reporting and Analytics Developer / Data Engineer 1026
Builds and maintains scalable data pipelines, warehouses, and APIs to power analytics and applications using SQL, Python, and cloud platforms.
Spark-Powered Data Engineer: ETL & PySpark Pipelines
Data Engineer designing, developing, and optimizing scalable ETL pipelines and data warehouses using Python, PySpark, SQL, and cloud data platforms for large-scale datasets in Singapore.
Data Engineer - AI Pipelines & Semantic Search
Data Engineer building scalable data pipelines and semantic search systems with vector embeddings to process hundreds of thousands of documents daily for national security insights at a Singapore government tech agency.
Global Payments Data Engineer – Real-Time Data & Insights
Builds and maintains scalable data pipelines for global payment platforms, ensuring real-time analytics and data quality across TikTok and related services.
Databricks Data Engineer — Build Scalable Pipelines & Dashboards
Data Engineer designing and maintaining scalable data pipelines and ETL processes on Databricks and cloud platforms, while building dashboards and reports for analytics teams in Singapore.
Data Engineer: Vector Embeddings & Semantic Search
Designs scalable pipelines and builds vector embeddings for semantic search to power national security analytics using AI models and cloud-native services.
Data Engineer (Databricks) - Scalable Cloud Pipelines
Builds and maintains scalable cloud data pipelines on AWS and Databricks, ensuring reliable data ingestion, transformation, and quality for analytics and business teams in Singapore.
Data Engineer II: ETL, SQL Tuning & Python
Data Engineer focused on building and optimizing SQL, ETL pipelines, and Python automation to ensure data integrity and system resilience in a consulting environment.
Analytics Data Engineer Build Trusted Datasets & Dashboards
Analytics Data Engineer building reliable datasets, derived tables, and dashboards using SQL, Python, and Databricks lakehouse pipelines, collaborating with actuaries and analysts.