Data Engineer

Bobobox; Kota Bandung; On-site; IDR 15.000.000 - 25.000.000; Full time

Job summary

A leading tech company is looking for a Data Engineer based in Bandung, Indonesia. The role involves developing and optimizing data pipelines, ensuring data quality, and collaborating with analytics teams. Candidates should have up to 4 years of experience in Data Engineering, strong SQL and Python skills, and a commitment to quality-focused execution.

Qualifications

• Up to 4 years of experience in Data Engineering or a related technical field.
• Proven track record in designing, building, and maintaining scalable data pipelines.
• Committed to quality-focused execution and continuous improvement.

Responsibilities

• Develop and optimize data pipelines using SQL/Python.
• Implement data transformations for analytics readiness.
• Monitor and troubleshoot pipeline failures.
• Maintain data warehouse/lake environments.

Skills

SQL (advanced querying, optimization)

Python (Pandas, PySpark)

ETL tools (Airflow, dbt, SSIS)

Cloud data platforms (Snowflake, BigQuery, Redshift)

Analytical and problem-solving mindset

Attention to data accuracy and quality

Job description

What you will do:

• Develop and optimize data pipelines using SQL/Python
• Implement data transformations for analytics readiness
• Monitor and troubleshoot pipeline failures
• Maintain data warehouse/lake environments
• Execute data quality checks and validation
• Document data flows and lineage
• Work with analytics teams on data requirements
• Support senior engineers on complex tasks
• Participate in code reviews and knowledge sharing

You will fit in this job if you:

• Up to 4 years of experience in Data Engineering or a related technical field.
• Proven track record in designing, building, and maintaining scalable data pipelines.
• Technical Skills:
  • SQL (advanced querying, optimization)
  • Python (Pandas, PySpark) or Java/Scala
  • ETL tools (Airflow, dbt, SSIS)
  • Cloud data platforms (Snowflake, BigQuery, Redshift)
• Strong analytical and problem-solving mindset.
• High attention to data accuracy and quality.
• Curious and eager to learn new technologies and tools.
• Committed to quality-focused execution and continuous improvement.
• Proactive in identifying and resolving data-related issues.
• A collaborative team player with a strong sense of ownership.