Data Engineer Lead

Bibit.id; Indonesia; On-site; IDR 400,000,000 - 900,000,000; Full time

Job summary

You will guide architecture and pipelines, working with product and analytics teams to meet evolving data needs, while mentoring engineers and elevating engineering standards across the organization. Join us to power data-driven investing experiences for millions of users.

Responsibilities include designing scalable pipelines, guiding data architecture, mentoring engineers, and collaborating with product and analytics teams to meet evolving data needs.

Qualifications

• Strong experience in data engineering with SQL and Python.
• Experience with data warehouses, orchestration tools, and streaming or batch processing.
• Leadership experience guiding technical projects and mentoring engineers.

Responsibilities

• Design and maintain scalable data pipelines, ETL/ELT workflows, and data models.
• Lead data architecture for analytics, reporting, and operational use cases.
• Work closely with product, engineering, analytics, and business teams to understand data needs.
• Improve data quality, governance, documentation, and monitoring.
• Mentor data engineers and raise engineering standards across the team.

Skills

SQL

Python

Cloud platforms

Data pipelines

Leadership

Communication

Tools

Airflow

BigQuery

ETL tools

Job description

We are looking for a Data Engineer Lead to build and scale reliable data systems for a fast-growing fintech investment platform like Stockbit & Bibit. You will lead the data engineering function, ensuring our teams have trusted, timely, and secure data to support product, growth, risk, and business decisions.

Responsibilities

• Design and maintain scalable data pipelines, ETL/ELT workflows, and data models.
• Lead data architecture for analytics, reporting, and operational use cases.
• Work closely with product, engineering, analytics, and business teams to understand data needs.
• Improve data quality, governance, documentation, and monitoring.
• Mentor data engineers and raise engineering standards across the team.

Requirements

• Strong experience in data engineering, including SQL, Python, and cloud platforms.
• Hands-on experience with warehouses, orchestration tools, and streaming or batch processing.
• Solid understanding of data architecture, scalability, and reliability.
• Leadership experience in guiding technical projects and mentoring engineers.
• Excellent communication and collaboration skills.

Join us to help power data-driven investing experiences for millions of users.