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About the Company:

An established German industrial group is scaling out its AI, Data & Automation function, building data platforms and AI applications that deliver measurable business value across the enterprise.

Key Responsibilities:

• Architect complex data integration solutions in close collaboration with the Enterprise Data Architect, spanning Databricks, SAP BDC, and Microsoft Fabric
• Design and build scalable enterprise data products that bring together heterogeneous data from SAP, Microsoft, and other business-critical systems
• Own the Data Layer on the group's central Databricks platform, with full accountability for performance, governance, and stability
• Lead international data integration initiatives, providing technical direction and driving standardization across regions
• Build proof-of-concepts and reusable templates, and mentor junior engineers within the team

Your Profile:

• 5-10 years of hands-on experience with SQL, database technologies, and high-performance data solutions
• Strong expertise across the Databricks ecosystem, including Delta Lake, Apache Spark, performance tuning, and cost optimization
• Solid software development skills in Python, Java, C, C++, or C#
• Experience with CI/CD pipelines, ideally using GitHub Actions
• Confident communicator in international, cross-functional environments, with the ability to mentor others

Nice to Have:

• Databricks Certified Data Engineer Professional certification
• Cloud certification such as Azure Data Engineer Associate or AWS Certified Data Engineer

What's Offered:

• Permanent contract with flexible hours and mobile working (typically 3 days/week remote)
• 30 days annual leave
• Performance-based bonus and modern equipment
• Workation option - up to 30 days per year working from abroad
• Sabbatical option after 3 years
• Structured onboarding and ongoing personalized training, including access to a corporate academy
• Health and wellbeing programs, flat hierarchies, and an inclusive culture