Data Engineering (Azure Databricks, Power BI, Python)

About Us

At Mercedes-Benz, we don’t just build cars, we create great software. We develop tomorrow’s mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward. As a tech company, we are agile, innovative, and always keep our finger on the pulse of change. This is why inner source, FOSS, secure code, DevOps, infrastructure as code (IaC), data analytics, artificial intelligence, and many more are core components of our daily work.

IT is our passion, and we move toward a bright future, sometimes quickly, sometimes creatively but always together.

We believe in integrity, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.

Our workplace is anywhere* with a fast connection whether remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz, which comes with an LRT station at its doorstep, an al fresco cafeteria, ample greenspaces, and free parking.

About the Role

We are looking for an experienced Senior Data Engineer / Data Engineering Lead to join the Sales Planning (Car Sales) function and take a leading role in upcoming data and analytics initiatives.

This position combines hands-on data engineering with technical project leadership. The successful candidate will lead the end-to-end delivery of Power BI solutions and Azure-based data pipelines, while coordinating external vendors and working closely with business stakeholders and global teams.

The ideal candidate can independently assess technical requirements, define an appropriate solution approach, coordinate delivery, manage stakeholder expectations, and remain hands-on where required.

Key Responsibilities

• Lead the end-to-end delivery of data engineering, data pipeline and Power BI initiatives.
• Design, develop and maintain scalable solutions using Microsoft Azure, Azure Data Factory and Azure Databricks.
• Develop, optimize and support data pipelines using SQL and Python.
• Work with Azure Data Lake Storage for data storage, processing and integration requirements.
• Develop and enhance Power BI reports and dashboards based on business needs.
• Coordinate external vendors and provide technical direction for data engineering activities.
• Manage communication and expectations across business stakeholders, technical teams and global counterparts.
• Support integration requirements involving APIs and multiple data sources.
• Apply Azure DevOps Pipelines and/or GitHub Actions, including pipeline triggers and CI/CD concepts.
• Manage source code and collaborative development using GitHub.
• Work within an Agile/Scrum environment and manage delivery through JIRA.
• Support secure Azure implementations using Microsoft Entra ID and Azure Key Vault.
• Provide technical guidance while remaining hands-on with engineering and troubleshooting activities.