Data Quality Specialist

About Our Client

Our client is a global leader in the fast-moving consumer goods (FMCG) industry, operating across more than 100 countries and serving millions of consumers every day. With a strong portfolio of well-known brands, they are recognized for their focus on innovation, sustainability, operational excellence, and data-driven decision-making.

We are looking for a Business Intelligence & Data Quality Specialist to support and maintain existing product data and reporting solutions across Europe.
This is a hands‑on role focused on ensuring that product data remains accurate, validated, and reliable across multiple systems. The position combines Power BI development, SQL/Python scripting, and Databricks data work with stakeholder coordination across EU markets.
The role is primarily focused on maintaining, improving, and handing over established BI products to global teams — rather than building entirely new solutions from scratch.

• Maintain and optimize existing Power BI dashboards and KPIs
• Monitor and improve data validation rules to ensure high data quality
• Work with Databricks and Azure-based data environments to support reporting solutions
• Write, adjust, and debug SQL and Python scripts
• Support the transition and handover of BI products to global teams
• Collaborate with European stakeholders to align on data standards and improvements
• Facilitate discussions and guide users in understanding reporting tools and data structures

• Minimum 2+ years of experience in Business Intelligence, Data Analytics, or similar roles
• Strong experience with Power BI (data modeling, DAX, dashboards)
• Solid skills in SQL and Python (scripting, debugging, modifying validation logic)
• Experience working with Databricks / Azure data environments
• Ability to work independently in a structured data landscape
• Strong stakeholder communication skills
• Fluent in English

• Understanding of SAP data structures
• Experience in complex, multi-market organizations
• Exposure to data governance or regulatory data environments