Data Quality Specialist, Rotterdam, Zuid-Holland

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.

About the Position

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.

Responsibilities

• 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

Requirements

• 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

Nice to have:

• Understanding of SAP data structures

• Experience in complex, multi-market organizations

• Exposure to data governance or regulatory data environments

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