Data Platform Engineer: Real-Time Pipelines & Trusted Data

Bukuwarung; Jakarta Selatan; On-site; IDR 300,000,000 - 460,000,000; Full time

Job summary

BukuWarung is building a unified data platform to power analytics, underwriting, and fraud prevention across Southeast Asia. As a Data Platform Engineer, you will build and maintain batch and streaming data pipelines and develop clean data models that teams rely on for analytics and ML.

You will work with senior engineers to ensure data is reliable, well-documented, and easy to access, while learning the modern data stack and growing toward owning larger parts of the platform over time.

Qualifications

• 2–4 years of experience in data engineering, software engineering, or a closely related data role.
• Strong SQL and solid Python; writing clean, testable code.
• Hands-on experience building or maintaining data pipelines and working with a data warehouse (e.g. BigQuery, Snowflake, Redshift).
• Familiarity with a workflow orchestrator (Airflow, Dagster) and transformation tooling (dbt or Spark).
• Understanding of data modeling fundamentals and why data quality matters.
• Eagerness to learn, take feedback, and grow quickly in a fast-moving environment.

Responsibilities

• Build and maintain data pipelines (batch and streaming) that ingest data from BukuWarung’s payments, device, lending, and operations systems
• Develop transformations and data models (e.g. SQL / dbt) that produce clean, well-documented datasets for analytics and ML
• Contribute to streaming workflows (Kafka, Flink, or Spark Streaming) that support fraud and credit use cases, under the guidance of senior engineers
• Write reliable, tested, maintainable code and participate in code and design reviews
• Implement data quality checks, tests, and monitoring so issues are caught before they reach downstream consumers
• Help investigate and resolve pipeline failures, freshness issues, and data discrepancies
• Contribute to documentation, lineage, and cataloging so datasets are discoverable and trusted
• Follow governance and access practices aligned with Bank Indonesia and OJK requirements for handling sensitive financial data
• Partner with analysts, ML engineers, and business teams to understand data needs and deliver usable datasets and tables
• Help build and maintain self-serve tooling and dashboards that let Ops, Finance, and GTM answer routine questions
• Learn the modern data stack hands-on and grow toward owning larger parts of the platform over time

Skills

SQL

Python

Data pipelines

Data warehouse

Airflow

dbt

Spark

Data modeling

Learning mindset

Tools

BigQuery

Snowflake

Redshift

Dagster

dbt

Spark

Kafka

Airflow

Job description

BukuWarung is building a unified data platform to power analytics, underwriting, and fraud prevention across Southeast Asia. As a Data Platform Engineer, you will build and maintain batch and streaming data pipelines and develop clean data models that teams rely on for analytics and ML.

You will work with senior engineers to ensure data is reliable, well-documented, and easy to access, while learning the modern data stack and growing toward owning larger parts of the platform over time.