Enterprise Data Steward

My responsibilities:

• Work as SPOC (Single Point of Contact) for data to the Analytical Use Cases and Reporting teams, translating their needs into clear data, data management, quality and governance requirements. 

• Bring data management capabilities into use cases and reporting, including: 

• • Data asset/data capability management (cataloguing, role assignment, ensuring data availability) 

• • Data quality measures (define, test, and implement quality rules; support root-cause analysis using Python/SQL) 

• • Data compliance (govern access and usage based on security classification, data protection, and retention) 

• Data Availability - Data discovery and requirements engineering: identify relevant data sources (e.g., SAP (incl. SAP S/4) and cloud data lake assets), clarify ownership and intended usage, and define the key tables/columns needed for consistent reporting and faster analytics delivery. Provide test data and ensure data being integrated by the platform teams. 

• Expand and maintain the common data dictionary (in our Data Catalog) together with the use case/ reporting team and business stakeholders; ensure naming, meaning, lineage context, and usage rules are understood and applied consistently. 

• Classify key and critical data entities (criticality, security classification, sensitivity) and align governance decisions with data protection and data retention requirements. 

• Collaborate across ALDI Organisation (e.g. IPOs and country teams) on data-related topics, preparing and participating in the data community. 

The knowledge I own:

• Several years of practical experience in data stewardship / data architecture / data management / data governance, ideally combined with business or data analyst experience (e.g., 5+ years). 

• Strong knowledge of data ethics, data protection and data security, including experience with security classifications, access control concepts, and data retention/compliance considerations. 

• Hands-on analytical capability to translate business requirements into data (management) requirements, supported by structured problem-solving. 

• Proficiency in Python and SQL for testing data, data quality root-cause analysis, troubleshooting, and validation of data quality measures. 

• Experience with source systems and data environments, including initial working knowledge of SAP and data availability in a cloud data lake (preferably Azure) as well as big data concepts. 

• Proven experience with data management tooling (e.g., data catalog and data quality tooling) and the ability to define, set up, test, and implement governance/quality functionalities. 

• Excellent communication skills in business English (at least upper-intermediate), German knowledge is a plus. 

• Intercultural competence and experience collaborating with multiple teams 

• Academic degree in computer science, mathematics, statistics, or an equivalent qualification/training. 

• Agile working experience and ability to support delivery for analytical/reporting teams while maintaining governance standards.

The offer that would convince me:

• A constantly growing organization and increasing opportunities
• Secure, long-term job opportunity
• Outstanding salary
• Home office possibility 

Online application:

Please use our online application and attach your resume.

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