Manager Data Products Engineering(m/f/d)

Your Role

• Take responsibility for the implementation, quality, and operation of data products on the Döhler data platform

• Develop data products based on the Shared Data Foundation

• Ensure high engineering standards through testing, code reviews, CI/CD, monitoring, and incident analysis

• Further develop standards, templates, and components for integration, transformation, orchestration, and documentation

• Deliver scalable, high-performance, and maintainable solutions in Databricks

• Collaborate closely with Architecture, Platform Engineering, and Data Governance teams

• Provide technical support to Domain Leads in requirements gathering, estimation, solution design, and production deployment

• Own technical documentation, runbooks, operational handovers, and the stability of productive data products

Your Profile

• Degree in Computer Science, Business Informatics, Data Science, Software Engineering, or a comparable qualification

• Several years of experience in data engineering, software engineering, or working with modern data platforms

• Strong expertise in Databricks and cloud-based data platforms, ideally within the Microsoft Azure ecosystem

• Experience in building robust data pipelines, ETL/ELT processes, and batch processing, with additional experience in streaming considered an advantage

• Strong Python and SQL skills; experience with PySpark and/or Spark SQL is a plus

• Experience in data modelling and designing reusable, consumption-oriented data models

• Familiarity with dbt or comparable frameworks for data transformation, testing, and documentation is desirable

• Experience with Git, pull requests, code reviews, and CI/CD pipelines

• Solid understanding of data quality, observability, monitoring, logging, error handling, and performance optimisation

• Knowledge of SAP environments, particularly S/4HANA, as well as the integration of SAP and non-SAP data sources

• Understanding of data governance topics such as access control, metadata, lineage, data catalogues, and sensitivity classification; experience with Unity Catalog is a plus

• Experience in coordinating external developers or service providers is desirable

• Structured, pragmatic, and hands-on way of working, combined with strong communication skills