> Markdown version of [/jobs/ext/3369078-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3369078-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # (Senior) Data Engineer - **Company:** Amer Sports - **Location:** Garching bei München, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Profiling, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Mart, Data Transformation, Database Queries, Document-Oriented Databases, HR Analytics, Python (Programming Language), Cloud Services, Systems Integration, Enterprise Data Management, Azure Data Factory, Build Management, Data Lakes, Pyspark, Git Flow, Restful APIs, Data Pipelines, Databricks - **Published:** September 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=44fc270b084dfc28 ## About the Role * 3 to 5 years of experience in data engineering or analytics * Demonstrable experience handling personally identifiable information (PII) in compliance with GDPR or comparable data privacy regulations * Experience connecting and integrating multiple systems via REST APIs, file-based extracts or connector frameworks * Experience working in international, multi-brand or multi-entity environments * Strong SQL skills for data transformation, profiling and ad-hoc analysis; comfortable writing complex queries * Hands-on experience with Databricks (Delta Live Tables, Delta Lake, Unity Catalog, Databricks SQL) for building scalable data pipelines and marts * Python (PySpark or pandas) for pipeline development, data transformation and automation * Experience implementing row-level security, column masking and role-based access controls for sensitive personal data in cloud data platforms * Familiarity with Git-based workflows, CI/CD principles and data quality monitoring frameworks * Experience delivering Data Marts * Preferred certifications (not mandatory): Databricks Certified Data Engineer Associate / Microsoft Certified: Azure Data Engineer Associate * Professional proficiency in English. Basic German language skills. * Ability to take ownership and strive for excellence in how work is planned, executed, and improved * Motivation to learn, grow, and continuously develop skills * Motivation to contribute to work that supports healthier, more active lives What we consider a plus * Experience with HR platforms ## Description As a (Senior) Data Engineer, you will play a key role in shaping and scaling Amer Sports' enterprise data platform. You will connect and harmonise multiple datasources building the data infrastructure that enables flexible, trusted and privacy-compliant reporting across Amer Sports' global HR organisation. This role combines hands-on data engineering with deep responsibility for personal data governance, ensuring that insights are delivered securely and in full compliance with GDPR and internal data privacy standards., * Systems Integration: Design and build data pipelines that ingest HR data from via REST APIs and file-based extracts. * Data Modelling & Harmonisation: Build reusable, cross-system data models on Databricks that consolidate HR data into a single governed layer; implement Medallion architecture (Bronze, Silver, Gold) to support flexible downstream reporting. * Privacy & Data Governance:Design and enforce data access controls, role-based authorisation and column-level masking for sensitive personal data; ensure all data pipelines and reporting solutions comply with GDPR, works council agreements and internal privacy policies. * HR Reporting & Analytics: Implement global HR KeyFigures and design data marts to be used flexible in reporting or AI tools * Data Quality & Monitoring: Implement automated data quality checks across ingestion and transformation layers; monitor pipeline health, define quality SLAs for key KPIs and drive sustainable resolution of data issues in close collaboration with system owners. * HR Stakeholder Collaboration: Work directly with HR Business Partners, Total Rewards, Talent Acquisition and People Analytics teams to translate reporting requirements into scalable data solutions; document data definitions and support business users in understanding and trusting their HR data., * Phone screening: A conversation with Amer Sports' HR manager to discuss the role, our organization, and your expectations. * Interviews: Usually 1-2 rounds, including interviews with the hiring manager and prospective team. * Case studies or assessments: Your role may require practical tests, such as presentations or case studies. * Feedback and decision: We aim to provide feedback throughout the process.