Senior Data Engineer

Our Client
We are working with a late-stage stealth startup, founded in 2021, that is transforming the global supply chain for construction materials.

Headquartered in Berlin and operating with teams across Germany and Asia, the company leverages AI and digital innovation to revolutionise sourcing, distribution, and financing. By eliminating intermediaries, their platform delivers a seamless experience that integrates supply-demand matching, cloud inventory, fulfilment solutions, and fintech capabilities.

Having achieved triple-digit million GMV and nearing profitability, this fast-growing company serves hundreds of clients worldwide and is backed by top-tier investors and seasoned entrepreneurs.

The Role
As a Data Engineer, you will:

• Develop and optimise data solutions to address business challenges.
• Lead platform development, including data pipelines and architecture.
• Conduct real-time data analysis and apply machine learning for predictive insights.

What You Bring

• Strong expertise in Python, SQL, cloud-based technologies, and data engineering.
• Experience with Databricks is essential; familiarity with Spark or Kafka is a plus.
• A collaborative mindset and the ability to thrive in a dynamic, fast-paced environment.

Why Join?

• Be part of a high-growth B2B startup tackling a traditionally underserved industry.
• Enjoy entrepreneurial freedom and work with a diverse, international team.
• Access a modern central Berlin office, regular team events, and a supportive culture that values innovation and inclusion.
• Opportunity to work with experienced founding team (3 companies, 2 exits)
• Collaboration with top-tier investors and angles (incl. various unicorn founders) as well as leading market experts