Data Quality Manager | Data Engineer

Job Summary

As a Data Quality Manager at Magenta Telekom, a key part of the Deutsche Telekom Group, you will be instrumental in enabling data-driven decisions by ensuring the accuracy and reliability of business-critical data. Your core responsibilities involve architecting and implementing a scalable data quality framework, including defining standards, rules, and validation processes. You will design and deploy technical solutions to measure key data quality metrics and embed these controls into system architecture, metadata management, and master data solutions. You will also promote the data governance initiative, clarifying roles and responsibilities with business data stewards and stakeholders. Success in this role requires a strong educational background and hands-on experience in data governance, data management, or business intelligence. You must possess strong expertise in data quality principles, practical experience with governance tools (like Collibra or DataHub), and technical proficiency in SQL for validation. This role is attractive as it places you within a highly strategic Data & AI department focused on migrating to a modern cloud stack (GCP) and building a robust data governance foundation.