Data Test Automation Engineer
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 22, 2026. Capgemini scores B on the Alion truth index.
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.
YOUR ROLE
You will validate and automate 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.
YOUR PROJECT
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.
YOUR CLIENT
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.
YOUR TASKS
- Design, develop, and execute automated test solutions for ETL and data integration processes.
- Validate data ingestion, transformation, and loading processes across multiple data sources.
- Develop and maintain test automation frameworks for data platforms.
- Create and execute test cases for Azure Databricks and Azure Data Factory pipelines.
- Write complex SQL queries to perform data analysis, validation, and defect investigation.
- Use Python to automate data testing, validation, comparison, and reporting activities.
- Perform source-to-target data validation and ensure data integrity across systems.
- Support CI/CD and automation initiatives for data platform testing.
YOUR PROFILE
- 3-7+ years of experience in data testing or QA roles within Financial Services or Investment Banking
- Strong SQL skills for data analysis, validation, reconciliation, and investigation
- Strong Python skills for test automation
- Hands-on experience Azure Databricks and Azure Data Factory data pipelines
- Knowledge of CI/CD principles
- Knowledge of version control systems such as git.
- 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;
WHAT YOU'LL LOVE ABOUT WORKING HERE
- Well-being culture: medical care with Medicover, private life insurance, and sports card. We also offer Capgemini Helpline support and the educational podcast 'Let's talk about wellbeing' on Spotify.
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:
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.
GET TO KNOW US
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!
ABOUT CAPGEMINI
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.