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Data Manager – Quality & Governance

12/05/2025
PermanentBelgiumHybrid
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Description du poste

Location:

Brussels (with two days remote work per week)


Join a dynamic hybrid environment that combines the agility of a scale-up with the stability of a large corporate group. The Data Manager – Quality & Governance will have a pivotal role across business and technical domains to ensure the accuracy, completeness, and strategic use of data.

  • Guarantee data accuracy, completeness, and usability for all business stakeholders.
  • Collaborate with Product teams to define and implement data-driven functionalities that add tangible business value.
  • Work alongside technical teams to industrialize data use cases, streamline processes, and optimize operational workflow.
  • Act as the central reference for company data knowledge, promoting data literacy and alignment across the organization.
  • Define rules for data structure and usage based on business needs and technical constraints, ensuring scalable and reliable data management.
  • Analyze and explore data sets to uncover actionable insights that support strategic business decisions.
  • Identify and manage evolving data requirements for operational use, while coordinating integration of new data sources as needed.
  • Contribute to data governance by helping define data-related roles, maintaining up-to-date documentation, and ensuring robust control over key data assets.
  • Perform ongoing data quality checks, detect anomalies, and communicate updates or corrections throughout relevant teams.
  • Manage relationships with internal and external data providers to ensure data delivery is consistently aligned with business objectives.
  • Develop and maintain a comprehensive data quality framework that upholds high standards of accuracy and compliance.
  • Support the operational monitoring of the data platform to ensure reliability and availability of critical data services.
  • Play an active role in data modeling in line with best practices for modern data warehouse architecture.

Expected Technical and Domain Expertise:

  • Solid background in data analysis, data governance principles, and business intelligence.
  • Technical proficiency in Python, PySpark, SQL, and ideally Databricks.
  • Experience with team collaboration and project coordination in cross-functional initiatives.
  • Practical understanding of data structuring, quality, and documentation processes.
  • Familiarity with retail industry data management challenges is valued.
  • Fluent communication in English is essential; strong proficiency in French is highly desirable.
Description du profil

We are looking for candidates who are passionate about transforming data into valuable business insights, and who thrive at the intersection of business and technology. The right person enjoys collaboration, feels at home in dynamic hybrid environments, and is motivated by the challenge of shaping data governance structures from the ground up while working within the framework of an established organization.

  • Analytical mindset: Candidates should possess a strong ability to analyze complex data sets, identify trends, and draw actionable conclusions that support business objectives.
  • Natural bridge-builder: We value those who excel at facilitating communication between technical teams and business stakeholders, able to translate technical terminology into clear value propositions.
  • Proactive and structured: The ideal candidate demonstrates initiative in identifying data-related opportunities and emerging issues, and relies on a methodical approach to implement effective, scalable data quality and governance frameworks.
  • Strong sense of ownership: We appreciate candidates who are self-driven, accountable, and eager to act as the central point of reference for everything data-related in the organization.
  • Collaborative spirit: Successful applicants will have a track record of effective project coordination and team collaboration, displaying both leadership and empathy in multi-disciplinary settings.
  • Technical proficiency: A solid foundation in Python and SQL is essential, complemented by experience with PySpark and Databricks. Comfort navigating modern data architectures and modeling best practices is expected.
  • Business curiosity: Candidates who love digging deeper into enterprise data to understand and solve core business challenges, especially those relevant to the retail sector, will excel in this role.
  • Clear communicator: Fluency in English is required to communicate with diverse stakeholders, with strong French skills considered a major asset in this international context.
  • Integrity and precision: We look for individuals who hold themselves to the highest standards of accuracy and accountability, ensuring that business data remains trustworthy, complete, and exploitable.

If you are driven by innovation, energized by collaboration, and passionate about shaping a data-driven future, we encourage you to apply.

Lieu de travail
Nous cherchons à pourvoir 1 postes.
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