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
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
