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Capgemini Invent is seeking a Data Quality Specialist to drive data quality improvements across business domains, ensuring trusted data for reporting, decision-making and AI solutions.
You will define and monitor data quality standards, investigate and resolve issues, and produce dashboards while collaborating with business and technical stakeholders. The role requires 3–5+ years in the field and fluency in English, with on-site work from Gdańsk or Wrocław.
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
We are looking for a Data Quality Specialist who will be responsible for driving data quality improvements across business domains and ensuring trusted data is available for reporting, decision-making and AI solutions.
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.