Data Engineer jobs in Indonesia
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PT Kreasi Media Asia
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Blue Bird Group
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TUNTUN SEKURITAS INDONESIA
Data Scientist/Algorithm Engineer (LLM) – AI Safety
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Hexagon Mining, Inc.
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PT. Indosat Tbk
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Gojek Group
Senior Data Scientist
PT. Sarimelati Kencana Tbk.
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PT Bonofactum
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McKinsey & Company, Inc.
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Topremit
Data Engineer - Dedicated
Akar Inti Teknologi
Machine Learning Engineer
Devoteam | Google Cloud Partner
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Qiscus
Market Data Analyst Jakarta
PT Galva Galindra Multi Cipta
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CIMB Niaga
Senior Data Engineer
Job summary
A leading technology firm in Jakarta is seeking a Data Engineer to design and maintain scalable data pipelines. This hybrid role requires strong experience in AWS services, data modeling, and a passion for data-driven solutions. The ideal candidate will work closely with data scientists and software engineers to ensure data quality and efficiency. Join a culture where data means something and contribute to impactful projects.
Benefits
Qualifications
- 2–4 years of experience in data engineering in a tech-driven environment.
- Strong hands-on experience with AWS data & compute services.
- Fluent in English — written and spoken.
Responsibilities
- Design, build, and maintain scalable data pipelines on AWS.
- Model and structure data for analytics and reporting.
- Automate workflows using Glue or Airflow.
Skills
Tools
At Insignia, we’re looking for a Data Engineer with proven experience in AWS and a track record of building reliable, scalable data pipelines.
You’ll design and maintain ETL/ELT workflows, optimize data models, and ensure our analytics and machine learning teams have clean, accessible data. If you're comfortable in S3, Glue, Redshift, Lambda, and Step Functions, and you care about performance, governance, and simplicity — this is your chance to build infrastructure that powers real decisions.
This is an Hybrid role in Kebon Jeruk , West Jakarta, where you’ll work closely with data scientists, analysts, and software engineers to turn raw data into value.
- Design, build, and maintain scalable data pipelines on AWS
- Model and structure data for analytics, reporting, and ML-readiness
- Optimize data storage, query performance, and cost-efficiency across cloud services
- Collaborate with internal teams to understand data needs and deliver robust solutions
- Implement data quality checks, monitoring, and documentation
- Automate workflows using Glue, Lambda, Step Functions, or Airflow
- Support secure access, governance, and compliance across data systems
- 2–4 years of experience in data engineering, preferably in a tech-driven or digital service environment
- Strong hands-on experience with AWS data & compute services (S3, Glue, Redshift, EC2, Lambda, etc.)
- Proficient in SQL, Python, and data modeling (star schema, medallion architecture, etc.)
- Experience with ETL/ELT pipelines, workflow orchestration (e.g., Airflow, Step Functions), and CI/CD for data
- Bonus: Familiarity with data lakehouses, CDC, real-time streaming (Kinesis), or MLOps integration
- Fluent in English — written and spoken
- Collaborative, proactive, and passionate about building systems that last
Because great data engineering isn’t just about moving data — it’s about making it mean something. At Insignia, you’ll have the autonomy to design, the support to grow, and the impact to show for it.
- Performance-driven environment with real ownership
- A collaborative, fast-moving culture with direct access to technical leads
- Exposure to complex, high-impact projects across industries
If you're ready to build the backbone of intelligent systems, let’s talk.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.