Data Engineer

Bjak

Jakarta Pusat

On-site

IDR 240,000,000 - 400,000,000

Full time

5 days ago
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Job summary

BJAK is seeking a Data Engineer in Jakarta, Indonesia to build and operate scalable data infrastructure powering analytics and downstream systems.

You will ingest data from diverse sources, design data models and storage layers, and collaborate with analytics, product, and engineering teams to deliver clean datasets for self-service analytics. The role emphasizes governance, monitoring, and cost efficiency.

Qualifications

  • 3+ years of experience as a Data Engineer or similar role.
  • Strong Python and/or TypeScript, and solid SQL proficiency.
  • Knowledge of data modeling, ETL/ELT concepts, and analytics workflows.
  • Hands-on experience with data warehouses such as BigQuery or Snowflake.
  • Experience building and operating production data pipelines.

Responsibilities

  • Design, build, and maintain scalable, fault-tolerant data pipelines (batch and streaming).
  • Ingest data from APIs, databases, event streams, and third-party services with high quality.
  • Design and manage data models and storage layers supporting analytics.
  • Collaborate with analytics, product, and engineering teams to enable self-service analytics.
  • Implement monitoring, logging, alerting for reliability and cost efficiency.
  • Enforce data governance, including access control, privacy, documentation and data lineage.

Skills

Python
TypeScript
SQL
Data modeling
ETL/ELT
BigQuery
Snowflake
Production pipelines

Tools

dbt
Kafka
Pub/Sub
GCP

Job description

Data Engineer

Perusahaan : Bjak Jenis Pekerjaan : Full-Time Jakarta, Indonesia

Deskripsi Pekerjaan - Data Engineer
About BJAK

BJAK is building the next-generation insurance and financial services platform - designed to be intuitive, intelligent and personalised. Presently we are the largest insurance platform in Southeast Asia, and expanding globally with a strong focus on technology and product superiority. We are looking for talented, ownership-minded individuals. In return, expect growth, trust, autonomy, rewards, and impact.

About the Role

As a Data Engineer, you will build and operate the data infrastructure that powers BJAK’s analytics, product insights, and downstream systems. You will work closely with analytics, product, and engineering teams to ensure data is reliable, accessible, and production-ready at scale.

What You Will Be Doing
  • Design, build, and maintain scalable, fault-tolerant data pipelines (batch and/or streaming) for core business and product data.

  • Ingest data from diverse sources including APIs, databases, event streams, and third-party services, ensuring high data quality and reliability.

  • Design and manage data models and storage layers (data warehouses, data lakes) that support analytics and downstream use cases.

  • Partner with analytics, product, and engineering teams to deliver clean, well-documented datasets that enable self-service analytics and experimentation.

  • Implement monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency.

  • Enforce data governance best practice, including access control, privacy, documentation, and data lineage.

What You Will Need
  • 3+ years of experience as a Data Engineer, data-heavy Backend Engineer, or similar role.

  • Strong programming skills in Python and/or TypeScript, with solid SQL proficiency.

  • Good understanding of data modeling, ETL/ELT concepts, and analytics workflows.

  • Hands‑on experience with data warehouses (e.g. BigQuery, Snowflake).

  • Experience building and operating production data pipelines.

Nice-to-Have
  • Experience with cloud platforms (especially GCP).

  • Exposure to streaming systems (Kafka, Pub/Sub).

  • Familiarity with dbt and analytics engineering practices.

  • Experience with data lake technologies.

  • Exposure to ML data pipelines or feature stores.

Why Join BJAK
  • Build and own data systems that operate at real scale

  • Work on high-impact, business-critical data use cases

  • High-ownership role with autonomy and trust

  • Flat structure - execution and results matter more than titles

  • Competitive compensation and strong growth opportunities

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