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We are looking for a Senior Data Engineer (m/f/d) to join our data team in Augsburg or Frankfurt/Main and play a key role in shaping and building our modern data platform based on Databricks.
In this role, you will be responsible for designing and developing robust and scalable ETL pipelines, integrating data from various internal and external sources. You will work closely with business stakeholders, data scientists, and data analysts to deliver reliable data products and enable data-driven decision-making across the company.

Main Responsibilities

• Design, build, and maintain scalable and efficient ETL processes on our Databricks-based data platform
• Integrate data from multiple sources using batch and streaming technologies
• Develop and implement a modern data architecture, including data modeling, data quality, and metadata management
• Ensure high performance, reliability, and maintainability of data pipelines
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
• Drive best practices in data engineering, including version control, testing, and deployment automation
• Contribute to the continuous improvement of our data infrastructure and tooling

SKILLS & EXPERIENCE REQUIRED

• Proven experience as a Data Engineer, with strong expertise in Databricks or similar big data platforms
• Hands-on experience in developing and managing ETL workflows using tools such as Apache Spark, Delta Lake, SQL, Python, or Scala
• Deep understanding of data architecture principles and data modeling (e.g. dimensional modeling, data lakes, data warehouses)
• Experience with cloud platforms (esp. Microsoft Azure) is a plus
• Strong problem-solving skills and a proactive mindset
• Fluent in English; German is a plus

• Design, build, and maintain scalable and efficient ETL processes on our Databricks-based data platform
• Integrate data from multiple sources using batch and streaming technologies
• Develop and implement a modern data architecture, including data modeling, data quality, and metadata management
• Ensure high performance, reliability, and maintainability of data pipelines
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
• Drive best practices in data engineering, including version control, testing, and deployment automation
• Contribute to the continuous improvement of our data infrastructure and toolin