Senior Data Engineer – Databricks (m/w/d)

BRINK Group

München

Hybrid

EUR 90.000 - 130.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

30 days annual leave
Performance-based bonus
Workation up to 30 days/year
Sabbatical after 3 years
Flexible hours & 3 days remote

Zusammenfassung

BRINK Group in Germany is expanding its AI, Data & Automation function to build data platforms and AI applications delivering measurable business value.

You will architect complex data integration solutions and own the Data Layer on the central Databricks platform, ensuring performance, governance and stability across the enterprise.

Qualifikationen

  • 5–10 years of hands-on experience with SQL, databases and high-performance data solutions.
  • Strong Databricks expertise (Delta Lake, Spark, tuning, cost optimization).
  • Proficient in Python, Java, C/C++, or C#, with CI/CD experience.
  • Experience mentoring in international cross-functional environments.

Aufgaben

  • Architect complex data integration solutions across Databricks, SAP BDC, and Microsoft Fabric.
  • Design scalable enterprise data products unifying SAP, Microsoft, and other systems.
  • Own the Data Layer on the central Databricks platform with governance and performance accountability.
  • Lead international data integration initiatives and drive standardization across regions.

Kenntnisse

SQL & databases
Databricks ecosystem
Python
Java
C/C++/C#
CI/CD (GitHub Actions)
Cross-functional communication

Tools

Databricks
Delta Lake
Azure
AWS
Microsoft Fabric

Jobbeschreibung

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
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