Consultant, SAP Data Engineering, Databricks

Windhoff Group

. Analyse business and technical customer requirements and translate them into data engineering solutions .

Posted 11/9/2026full-timeRemote • GermanyMid-LevelSenior💰 €60,000 - €100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable lakehouse architectures and developing high-performance data platforms, with proficiency in SAP Data Engineering, Databricks, and ETL/ELT processes. Possesses strong analytical skills and the ability to communicate effectively in both German and English.

Highest-signal resume keywords

SAP Data EngineeringDatabricks LakehouseSQLScriptPythonETL/ELT Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringLakehouse ArchitectureETLELTSQLScriptPythonDelta LakeMedallion ArchitectureDatabricks WorkflowsSAP Datasphere

Soft Skills

Analytical ApproachSolution-OrientedExcellent CommunicationHigh InitiativeResponsibility

Tools & Technologies

SAPDatabricksSnowflakeDremioMicrosoft AzureAWSSAP Analysis for OfficeSAP Analytics Cloud

Industry Keywords

Data PlatformsData ModelsHybrid EnvironmentsKnowledge SharingProject Management

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSnowflakeSQL

About the role

Key responsibilities & impact

Analyse business and technical customer requirements and translate them into data engineering solutions
Design scalable lakehouse architectures
Develop reliable, high-performance, and cost-effective data platforms
Design and implement data models and ETL/ELT pipelines in hybrid SAP, Databricks, Snowflake, Dremio, and cloud environments
Support projects from requirements gathering through design, implementation, and testing to handover to live operations
Take responsibility for subprojects or entire projects, as well as Windhoff project teams, depending on career level
Provide professional guidance and support for colleagues as a Lead Consultant
Help build the Databricks practice and shape the multi-vendor strategy
Facilitate knowledge sharing through project presentations and internal and external technology events

Requirements

What you’ll need

Relevant professional experience in SAP Data Engineering or Databricks
Knowledge of SAP Datasphere and the Databricks Lakehouse
Proficiency in SQLScript and Python
Experience with ETL/ELT processes
Experience with Delta Lake, the Medallion Architecture, and Databricks Workflows is a plus
Knowledge of Snowflake and Dremio
Knowledge of Microsoft Azure and AWS
Knowledge of ABAP, SAP Analysis for Office, and SAP Analytics Cloud is a plus
Analytical and solution-oriented approach to work
High level of initiative and excellent communication skills
Willingness to take responsibility
Business-fluent German skills at C1 level
Good English skills at a minimum of B2 level

Benefits

Comp & perks

Location-independent employment
Up to 90% remote work from home or from an easily accessible company location, depending on the project
Work from anywhere in Germany
More than 100 Data & Analytics Consultants for knowledge sharing and collaboration
In-house training academy
Long-term projects with changing technological challenges
Dedicated budget for professional development
Personal and professional development opportunities
Flexible working hours
Time off in lieu for overtime
Up to 40 days of vacation
First-class hardware and software equipment
Leasing options for company cars, IT hardware, and bicycles
Short lines of communication within the company
Fair and respectful workplace culture
Enjoyable team events