(Senior) Data Engineer (m/f/d)
at
Amer Sports Deutschland GmbH
Berlin, Berlin, Germany
-
Full Time
Start Date
Immediate
Expiry Date
21 Dec, 26
Salary
50000.0
Posted On
22 Sep, 26
Experience
4 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
Yes
Skills
Industry
Information Technology & Services
Description
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.
Responsibilities
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.
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