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: Spark, Scala & Elasticsearch on OpenShift
Data Engineer designing and optimizing big data pipelines with Spark, Scala, and Elasticsearch on OpenShift within a regulated consulting environment.
[T06] Junior/Senior Data Engineer
Designs and maintains scalable data pipelines, ETL processes, and data warehouses for fintech infrastructure, collaborating with stakeholders and data scientists to ensure secure, high-quality data processing and analysis.
Data Engineer - ML & NLP Analytics
Builds ML/NLP models for text data, writes production-grade Python/SQL code, and translates insights for clients in a collaborative Singapore-based team.
Senior Cloud Data Platform Engineer
Design, build, and optimize cloud data architectures (data lakes, warehouses) on AWS (S3, RDS, Redshift, DynamoDB) and Databricks Delta Lake, ensuring data quality and governance while collaborating with data scientists, analysts, and product teams.
AI/Data Engineer Intern
Build and deploy AI/ML models (NLP, computer vision, prediction) using Python and cloud tools to automate workflows and improve decision-making in a design-focused architecture firm.
Senior Data Engineer: Build Scalable Data Pipelines
Designs and maintains scalable data pipelines, processing systems, and warehouses for a Singapore-based company, collaborating with stakeholders to ensure data quality, security, and governance across on-prem and cloud environments.
Data Engineer
Data Engineer architecting and maintaining cloud-based data analytics infrastructure on AWS, Databricks, and IDMC, designing data lakes, ETL/ELT pipelines, and automation playbooks.
Senior Data Engineer: Cloud Data Pipelines & Analytics
Senior Data Engineer building and scaling data infrastructure and analytics—designing data warehouses, star-schema models, and ML layers using AWS, Snowflake, DBT, Airflow, and Fivetran in a hybrid role.
Senior Data Engineer: Real-Time Data & Warehousing
Senior Data Engineer responsible for designing, implementing and maintaining scalable data pipelines, data warehouses and processing systems, working with stakeholders to gather requirements and deliver secure, governed data products while collaborating with data scientists.
Data Engineer: Real-Time & Batch Data Pipelines
Data engineer designing and implementing real-time and batch ETL/ELT pipelines across data warehouses, lakes, and data virtualization, delivering reliable APIs and collaborating cross-functionally in an Agile CI/CD environment.
AI Data Engineer — Data Pipelines & Research
AI Data Engineer at NUS's Asian Institute of Digital Finance, building and maintaining ETL/ELT data pipelines, data models, and ML-ready data infrastructure while collaborating with financial analysts and R&D on AI research projects.
Data Engineer
Data Engineer building ETL/ELT pipelines, data warehouses, data lakes, and backend APIs for a consulting firm serving banking and financial services clients.
Data Engineer: Cloud Data Pipelines & Analytics Platform
Data Engineer designing, building, and maintaining cloud data pipelines and analytics-ready datasets using Microsoft Fabric, Azure data services, and medallion patterns at a Singapore educational institution.
Data Engineer — Cloud Data Pipelines & Analytics
Builds and maintains cloud-based data pipelines and analytics datasets using Microsoft Fabric/Azure for reporting, analytics, and AI use cases.
Data Engineer II
Data Engineer II consultant role focused on SQL database engineering (stored procedures, tuning), ETL pipeline development with Informatica, and Python scripting for enterprise data systems.
Quantexa Data Engineer
A Data Engineer designing, developing, and optimizing big data solutions using Apache Spark, Scala, Elasticsearch, and OpenShift Container Platform (OCP), collaborating with cross-functional teams to build scalable data processing pipelines and search applications.
Analytics Data Engineer
Analytics Data Engineer building and applying analytical methodologies on structured/semi-structured datasets using SQL, Python, and Databricks lakehouse workflows at Aon Life in Singapore.
Data Engineer (Databricks)
Data Engineer responsible for designing, developing, and maintaining scalable data pipelines on Databricks and Azure, supporting analytics and ML workloads with ETL, streaming, and batch processing.
Data Engineer: Real-Time Analytics & Pipelines
Designs and deploys data tables, views, and marts, and builds scalable batch and real-time data pipelines for a fintech company.
Software Engineer Intern (Data Engineering)
Build ETL pipelines in Python for trading and risk applications, working with senior engineers on data engineering projects during a Singapore internship.