Senior Data Engineer

At Insignia, were looking for a Data Engineer with proven experience in AWS and a track record of building reliable, scalable data pipelines.

Youll design and maintain ETL/ELT workflows, optimize data models, and ensure our analytics and machine learning teams have clean, accessible data. If you&aposre 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 on-site role in West Jakarta, where youll work closely with data scientists, analysts, and software engineers to turn raw data into value.

What Youll Do:

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

Who You Are:

24 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

Why Join Us

Because great data engineering isnt just about moving data its about making it mean something. At Insignia, youll have the autonomy to design, the support to grow, and the impact to show for it.