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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and managing data products using Databricks and Power BI, with a strong focus on data engineering, automation, and platform standards. Proficient in translating business requirements into scalable solutions while ensuring data quality and governance.
Highest-signal resume keywords
DatabricksData EngineeringPythonAzure DevOpsPower BI
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
DatabricksPythonSpark/PySparkSQLAzure DevOpsCI/CDTerraformData ModelingData QualityData Governance
Soft Skills
Strong Execution SkillsCollaborative ApproachTeam Orientation
Tools & Technologies
Power BIDatabricks AI/BI DashboardsMicrosoft FabricInfrastructure as Code
Industry Keywords
Data ManagementAnalytics PlatformSemantic Data ModelsOntologiesData Products
Tech Stack
Tools & technologiesAzurePySparkPythonSparkSQLTerraform
About the role
Key responsibilities & impact- Further develop the data management and analytics platform based on Databricks and Power BI
- Take responsibility for technical standards governing the development and entire lifecycle of data products
- Collaboratively define binding guidelines for data modeling, data quality, testing, version control, and deployment
- Implement technical standards as reusable frameworks, libraries, project templates, and reference implementations
- Integrate automated checks into CI/CD processes
- Advise Data Engineers, BI teams, and Data Scientists on platform standards and best practices
- Translate business requirements into robust, scalable solutions
- Increase efficiency through automation, quality assurance, and data governance
- Ensure stable platform operations and support business units in operating their solutions
- Serve as the cross-tool point of contact for the core team and business units
- Identify challenges and opportunities at an early stage and continuously enhance the platform
Requirements
What you’ll need- Completed degree in Computer Science, Business Informatics, Media Informatics, or a comparable field
- At least five years of experience in IT projects
- At least three years of hands-on experience with Databricks
- Excellent knowledge of data engineering with Azure Databricks
- Experience developing platform standards, reference implementations, or templates for use across teams
- Excellent knowledge of Python, Spark/PySpark, and SQL
- Several years of experience with Azure DevOps, CI/CD, Spark Declarative Pipelines, and Infrastructure as Code using Terraform or comparable technologies
- Extensive experience with semantic data models and ontologies on modern data platforms
- Proven practical experience developing data-driven web applications, particularly with Databricks Apps
- Experience with Power BI, Databricks AI/BI Dashboards, Microsoft Fabric, or comparable analytics and reporting tools
- In-depth understanding of the interplay between data products, permissions, deployment processes, and production-like use cases
- Strong execution skills, a dependable and collaborative approach, and a strong team orientation
- Very good written and spoken German
Benefits
Comp & perks- No specific benefits are listed in the posting; it only refers to “Our Benefits.”