Design and build modern HR data pipelines

• Develop scalable data pipelines that integrate workforce data from Workday, learning management systems and other HR platforms.
• Connect systems through APIs, connector frameworks and file-based integrations.
• Ensure reliable and efficient movement of data across the HR technology landscape.
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Create a unified people data foundation

• Build reusable data models that combine information from multiple HR systems into a trusted and governed source of truth.
• Design and maintain Medallion Architecture (Bronze, Silver, Gold) for workforce datasets.
• Enable flexible reporting and self-service analytics across HR functions.
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Drive privacy and data governance

• Implement role-based access controls, data masking and security mechanisms for sensitive employee data.
• Ensure compliance with GDPR, internal privacy standards and local regulatory requirements.
• Help establish best practices for responsible workforce data management.
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Enable insightful HR analytics

• Deliver high-quality data products supporting reporting on headcount, attrition, talent acquisition, learning and compensation.
• Provide trusted datasets for Power BI, SAP Analytics Cloud and other analytics solutions.
• Improve data accessibility while maintaining the highest standards of data protection.
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Improve data quality and reliability

• Develop automated quality checks and monitoring processes.
• Define and maintain data quality standards for critical HR KPIs.
• Collaborate with system owners to proactively resolve data issues.
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Partner with HR stakeholders globally

• Work closely with HR Business Partners, Talent Acquisition, Total Rewards and People Analytics teams.
• Translate business requirements into scalable technical solutions.
• Support users in understanding and trusting their HR data and reporting.
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What you need to succeed

• 3-5 years of experience in data engineering, analytics engineering or related data-focused roles.
• At least 2 years of experience working with HR systems, ideally Workday.
• Experience handling sensitive personal data in compliance with GDPR or similar privacy regulations.
• Experience integrating multiple business or HR systems in international environments.
• Advanced SQL for data modelling, transformation and analysis.
• Databricks (Delta Lake, Delta Live Tables, Unity Catalog, Databricks SQL) and/or Snowflake.
• Python, PySpark or pandas for data engineering and automation.
• Workday APIs, including REST and RaaS (Reports-as-a-Service).
• Building scalable cloud-based data pipelines and data marts.
• Implementing row-level security, column masking and role-based access control.
• Git-based development workflows and CI/CD principles.
• HR reporting solutions such as Power BI, SAP Analytics Cloud or similar BI platforms.
• A Bachelor's or Master's degree in Computer Science, Information Systems, Business Informatics, Human Resources or a related field, or equivalent practical experience.
• 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
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