Data Tester
Capgemini
Data Tester
Capgemini
Global consulting, technology services, outsourcing
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
You will validate data pipelines, transformations, and business rules across Databricks-based platforms supporting analytics, risk, and regulatory reporting in Investment Banking. In this role, you can expect close collaboration with Data Engineers, Technical Business Analysts, and business stakeholders to ensure data accuracy, completeness, and reliability. You will have a direct impact on solution quality and confidence in data used for decision-making and compliance.
You will work on modern cloud data platforms built with Databricks and lakehouse concepts, helping deliver robust data solutions for financial services. This role suits someone who enjoys testing complex data flows, validating transformations, and improving confidence in data-intensive products.
You will support stakeholders working on data, risk, and regulatory solutions in Financial Services, providing clear validation outcomes and helping maintain trusted data foundations. This role values analytical thinking, precision, and a collaborative approach to solving data quality challenges.
Validate ETL and ELT pipelines built on Databricks, ensuring correct data ingestion and transformation
Perform data validation and reconciliation across source and target systems
Validate business rules, calculations, aggregations, and regulatory logic implemented in data layers
Support UAT and regression testing for data-driven applications and reports
Contribute to test documentation, data quality reporting, and testing best practices
Collaborate with cross-functional teams to improve the reliability and quality of data used for business decisions and compliance
Strong SQL skills for data analysis, validation, reconciliation, and investigation
Hands-on experience with Databricks, Spark, or PySpark-based data pipelines
Understanding of data warehousing or lakehouse concepts and end-to-end data flows
Knowledge of data quality dimensions such as accuracy, completeness, timeliness, and consistency
Experience with defect and test management tools such as Jira, Xray, ALM, or Azure DevOps
Exposure to regulatory, risk, credit, or reporting data domains; ISTQB or Python-based test automation experience is a plus
Access to over 70 training tracks with certification opportunities on our NEXT platform, plus free access to Education First, TED Talks, and Udemy Business materials.
Continuous feedback and ongoing performance discussions supported by our transparent performance management approach.
Enjoy a hybrid working model that fits your life — after onboarding, combine work from a modern office with ergonomic work from home, supported by a home office package.
NOTE:
Location: Wrocław or Poznań. The hybrid working model is available after onboarding, and details regarding work organization will be discussed during the recruitment process.
Your development path
In this role, you can deepen your expertise in data quality engineering, Databricks-based testing, and cloud data platforms. You will also have opportunities to grow in regulatory and risk data domains, strengthen automation skills, and expand your impact in Agile delivery environments.
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We assess people based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
Want to get to know us better? Check out our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube!
Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion.
Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.
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