Data Engineer: Build Scalable ETL & Analytics Pipelines

Visionplus; Jakarta Pusat; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

Vision+ is seeking a Data Engineer in Jakarta, Indonesia for a full-time, on-site role. You will design, build, and maintain scalable data pipelines and ETL processes that power analytics, reporting and product features across the platform.

Collaborate with data analysts, data scientists, and cross-functional teams to translate requirements into robust data solutions, while ensuring data quality and security. This role emphasizes collaboration and continuous improvement of data infrastructure.

Qualifications

• Strong data engineering skills designing and implementing data pipelines.
• Proficiency in data modeling and data warehousing for analytics.
• Hands-on experience with ETL processes and tools.
• Applied data analytics to support reporting and dashboards.
• Experience with SQL and at least one programming language (Python, Java, or Scala).
• Familiarity with cloud data warehouses, distributed processing, and orchestration tools.
• Ability to document data architectures and communicate technical concepts clearly.
• Bachelor’s degree or equivalent practical experience.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and product features.
• Collaborate with data analysts, data scientists, and product/engineering teams to translate business requirements into data solutions.
• Monitor data workflows, troubleshoot issues, and contribute to ongoing improvements of Vision+ data infrastructure.

Skills

Data Engineering

Data Modeling

ETL

SQL

Python/Java/Scala

Cloud Data Warehouses

Data Analytics

Documentation

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

Job description

Vision+ is seeking a Data Engineer in Jakarta, Indonesia for a full-time, on-site role. You will design, build, and maintain scalable data pipelines and ETL processes that power analytics, reporting and product features across the platform.

Collaborate with data analysts, data scientists, and cross-functional teams to translate requirements into robust data solutions, while ensuring data quality and security. This role emphasizes collaboration and continuous improvement of data infrastructure.