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Consultant (m/w/d) SAP Data Engineering & Databricks

Windhoff Group
Contract type
Ongoing
Work mode
Hybrid · Berlin, Germany
Experience
3 years

Job description

As a Data Engineer/Consultant, you will analyze customer requirements and build data-engineering solutions on SAP and Databricks, designing scalable lakehouse architectures and data platforms.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Hybrid · Berlin, Germany
Languages
German – C1, English – B2

What you'll do

  • Analyze customers' business and technical requirements and implement them as data-engineering solutions, on the SAP portfolio or with Databricks depending on the project.
  • Design scalable lakehouse architectures and develop reliable, performant and economically usable data platforms.
  • Design and implement data models and ETL/ELT pipelines, often in hybrid scenarios combining SAP with Databricks, Snowflake, Dremio and cloud platforms.
  • Accompany projects from requirements gathering through design and implementation to testing and handover into production at the customer.
  • Depending on career level, take responsibility for sub-projects or whole projects and for the Windhoff project team; as Lead Consultant, develop colleagues professionally.
  • Help build the Databricks practice and actively shape the multi-vendor strategy with SAP as the core.
  • Share knowledge through knowledge transfer, project presentations and internal and external technology events.

What we're looking for

  • Relevant professional experience in SAP data engineering or with Databricks, e.g. as SAP Data Engineer, SAP BW Consultant, SAP Datasphere Consultant or Data Engineer.
  • Knowledge of SAP Datasphere and the Databricks Lakehouse, confident SQL scripting and Python, and successfully delivered ETL/ELT processes.
  • Analytical, solution-oriented working style and advising customers technically and professionally at eye level.
  • High initiative and very good communication skills to bring ideas forward internally and at customers, taking responsibility beyond pure implementation.
  • Business-fluent German (C1 level) and good English (at least B2 level).

Nice to have

  • Experience with Delta Lake, the Medallion architecture and Databricks Workflows.
  • Familiarity with Snowflake, Dremio and the Microsoft Azure and AWS cloud platforms as part of a holistic data infrastructure.
  • Knowledge of ABAP and frontend tools such as SAP Analysis for Office and SAP Analytics Cloud.

Your team

Databricks-Fachbereich

The Databricks practice area being built up as part of the multi-vendor strategy with SAP as the core.

Benefits

  • Location-independent hiring: depending on the project, up to 90% remote or at one of the company's locations.
  • Over 100 Data & Analytics consultants to exchange with and an internal training academy.
  • Long-term projects with changing technological challenges.
  • A fixed budget for further training plus personal and professional development prospects.
  • Good work-life balance through flexible working hours, overtime compensation and up to 40 days of vacation.
  • First-class hardware and software equipment as well as leasing offers for company cars, IT hardware and bicycles.
  • Short paths within the company, fair treatment of one another and entertaining team events.

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About Windhoff Group

For over 25 years we have been turning data into real business opportunities – from classic business intelligence to AI-driven automation.

A Data & AI services provider that supports customers end-to-end, from strategy through technical implementation to productive operation, covering BI reporting, data warehousing, predictive analytics and AI solutions.

Mission

To create measurable added value from data, accompanying customers end-to-end from strategy through technical implementation to productive operation.

Key facts

  • Über 100 Data & Analytics Consultants
  • Data & AI Services / IT consulting
  • Named in the current Lünendonk® study 2025/2026 as one of the 20 leading providers of Data & AI services in Germany.
  • Its growth is backed by shareholder Aurelius, a global private-equity investor involved since 2023.
  • The SAP core business is being expanded into a multi-vendor strategy with Databricks, Snowflake, Dremio and the cloud platforms Microsoft Azure, Google Cloud and AWS.

Partners & customers

AureliusDatabricksSnowflakeDremioMicrosoft AzureGoogle CloudAWS

What they value

  • An employer that promotes diversity and ensures all employees are treated fairly.