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
SR ENGINEER, DATA ENGINEERING, SMAI
Build and optimize data pipelines, ETL/ELT processes, and cloud-based analytics systems using Snowflake, GCP, and Apache Ni-Fi to support AI-driven workloads for smart manufacturing.
Senior Data Engineer - Square
Build and maintain scalable data pipelines and feature platforms for ML systems at the world’s largest crypto exchange, using Java/Scala and big-data tech like Spark and Flink.
Data Engineer (Data Platform) - Singapore
Build and optimize Plaud’s data platform to power AI-driven productivity tools, focusing on data warehousing, ETL/ELT, governance, and cloud services.
AI Data Engineer: Build Scalable Pipelines for AI
Design and maintain scalable data pipelines using Databricks and Microsoft Fabric to feed AI, ML, and analytics systems in a climate-tech marine data company.
Lead, Forward-Deployed AI & Data Engineering
Lead a team of AI and data engineers to migrate enterprises to Databricks' lakehouse platform and build GenAI systems, driving measurable business impact.
IT Consultants (Backend Engineer, Data Engineer, Application Developer) – Training Provided
6–8 week paid training program in backend, data engineering, or iOS development, followed by permanent placement on client projects.
Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines to extract, transform, and load data for analytics and AI in a semiconductor and IoT-focused environment.
Data Engineer II: AI/ML Pipelines & Impact
Builds and maintains scalable data pipelines and GenAI solutions for high-impact AI projects across industries, collaborating with global teams.
Senior Data Engineer - Data Pipelines & Streaming
Build and optimize data pipelines and streaming applications using Hadoop and Python for Singtel’s data infrastructure.
Data Engineer (Snowflake).
Build and maintain cloud-native data pipelines and dimensional models in Snowflake for a modernized enterprise data warehouse on AWS, focusing on ingestion, ELT, and production-ready analytics.
Transport AI Data Engineer - Real-Time Pipelines
Design and maintain data infrastructure for AI models in Singapore’s transport sector, building scalable pipelines and ensuring data quality in real-time and batch environments.
Senior Associate/Assistant Vice President, AI Data Engineer
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
AWS Data Engineer
Build and maintain scalable data pipelines and ETL workflows on AWS using PySpark, Glue, Lambda, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Data Engineer: Real-Time Pipelines on Azure & Databricks
Designs and maintains scalable real-time data pipelines on Azure and Databricks, integrating sources and enabling analytics and ML workloads.
Cloud-Native Data Engineer: Pipelines, APIs & Secure Ops
Designs and builds cloud-native data pipelines and backend services using AWS, CI/CD, and Infrastructure-as-Code to deliver secure, scalable data platforms.
Data Engineer II: Modeling & ETL (Singapore)
Designs scalable data models and builds ETL pipelines for a global fintech platform, integrating AI and governance across the data stack.
Associate Backend Data Platform Engineer
Designs and builds backend data pipelines and metadata-driven frameworks to power data exploration and dashboards for a large bank’s enterprise-scale data platform.
Associate, Backend Application Developer, Data Platform, Group Technology
Build and maintain scalable data pipelines and frameworks for AI/ML use cases using Java, Spring Boot, and cloud-native tools to support DBS Bank’s data-centric enterprise solutions.