Senior Consultant Data Lake & Analytics Solutions (m/f/d)

At Fresenius, we develop and deliver data-driven solutions across business disciplines with passion and expertise. Our Analytics Solutions team operates in a dynamic, international environment where modern technologies, innovative thinking, and collaboration are at the core. We are looking for a Senior Consultant Data Lake & Analytics Solutions (m/f/d) to strengthen our team and drive the design, development, and implementation of cutting-edge analytics solutions on our central data platform.

As part of our Analytics Solutions team, you will work closely with stakeholders to deliver end-to-end data solutions - from data integration and engineering to analytics and reporting. You will consult, design, and implement best practices while also ensuring smooth operations and continuous improvement.

Your assignments

• Design and implement scalable data engineering and analytics solutions in Azure and Databricks.

• Translate business and user requirements into technical architecture, concepts, implementation and roadmaps.

• Build and optimize ETL/ELT pipelines for ingestion and transformation of structured and unstructured data into the data lake.

• Develop reusable data models, transformations, and pipelines using Databricks, DBT, and PySpark.

• Optimize performance and reliability with Delta Lake and Databricks SQL.

• Set up and maintain data governance, security, and compliance standards in Azure.

• Provide technical consulting and support to stakeholders, ensuring adoption and best practices.

• Contribute to project scoping, effort estimation, and architecture design.

• Ensure quality through testing, documentation, CI/CD practices, and monitoring.

• Provide application support and collaborate in international teams.

Your profile

• University degree in Computer Science, Data Engineering, Data Science, Business Informatics, or a related field.

• Several years of professional experience as a Data Engineer / Analytics Consultant in an enterprise environment.

• Strong expertise in Azure Cloud Services, including:

  • Azure Data Lake Storage (ADLS Gen2), permissions, architecture, integration.

  • Azure SDKs for Python, REST APIs, OAuth2 authentication, Service Principals & Managed Identities.

  • (Optional) Azure Data Factory for pipeline orchestration.

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, workflows).

• Solid knowledge of DBT for modular SQL modeling, testing, and Git-based project management.

• Excellent Python development skills (PySpark, pandas, requests, automation).

• Strong SQL expertise (Databricks SQL, T-SQL, ANSI SQL), including query optimization and performance tuning.

• Understanding of data modeling (Star schema, Snowflake schema), ETL/ELT best practices, and data governance in Azure.

• Experience with CI/CD pipelines (Azure DevOps, GitHub Actions) and testing frameworks (Great Expectations).

• Familiarity with SAP BW and SAP Datasphere is a big plus.

• Strong problem-solving and communication skills, with the ability to work in agile teams and international contexts.

What We Offer

• A professional, highly motivated team in a global, modern IT environment.

• Exciting projects with cutting-edge cloud and analytics technologies.

• The opportunity to shape and enhance our central data platform.