Senior Data QA Engineer

Bull is a story. One with a century of European innovation and a working environment where experts design powerful, sustainable, and sovereign digital solutions, enabling states and industries to retain full control over their data and their AI.

Bull is also thousands of engineers, researchers and passionate tech people shaping the future of high‑performance computing, AI, and quantum technologies.

Every day, our teams push the boundaries of what is technologically possible – from next‑generation HPC architectures to exascale supercomputers – supported by world‑class R&D, more than 1,600 patents, and unique end‑to‑end capabilities spanning hardware design, software engineering, data science and quantum research.

We are a people‑centric, innovation‑driven company, where collaboration spans Europe, the Americas and India. We share a common vision of a responsible and sustainable innovation that delivers concrete impact for our customers.

Senior Data QA Engineer

We are looking for a Senior Data QA Engineer to design and implement scalable quality assurance solutions for enterprise data platforms, pipelines and data products.

The role combines strong Data QA expertise with hands-on data engineering knowledge across Azure, Databricks, PySpark and modern lakehouse environments.

Key accountabilities

• Design and establish a reusable Data Framework covering data quality, validation, testing, monitoring and governance.

• Define and implement a scalable Data QA framework for automated testing of data pipelines, transformations and data products.

• Establish data quality rules, validation patterns, reconciliation mechanisms and regression testing.

• Create reusable testing components and standards that can be adopted across multiple data engineering projects.

• Validate end-to-end ETL/ELT workflows, data transformations, business rules, schemas and analytical datasets.

• Integrate Data QA capabilities into CI/CD and the overall data development lifecycle.

• Investigate data defects, perform root-cause analysis and collaborate with engineering teams on resolution.

• Validate the performance, reliability and scalability of Spark workloads and distributed data solutions.

• Support production incident analysis and continuous improvement of data quality and pipeline reliability.

• Collaborate with engineers, architects, analysts and business stakeholders to define test scenarios and acceptance criteria.

• Ensure alignment with enterprise security, governance and data management requirements.

• Define framework standards, documentation and best practices to ensure consistency, scalability and maintainability.

Required experience

• 5+ years of experience in Data QA, data testing or data engineering within enterprise environments.

• Proven experience designing and implementing automated testing frameworks for enterprise data solutions.

• Strong hands-on experience with Azure Databricks and Azure Data Factory.

• Advanced knowledge of PySpark or Apache Spark.

• Strong Python and SQL development skills.

• Experience testing production-grade ETL/ELT pipelines and batch or near real-time data solutions.

• Strong understanding of data modelling, Delta Lake and lakehouse architecture.

• Experience working with CI/CD pipelines and DevOps delivery practices.

• Understanding of distributed data processing, performance optimisation and production support.

Why join us?

• Work on high-impact projects integrating cloud, AI, and data technologies.

• A collaborative environment focused on innovation, mentorship, and knowledge-sharing.

• Training and Certifications: Access to continuous learning and career development opportunities.

• Flexible working environment

• Competitive salary and benefits package.

• Reimbursement: Get a yearly fixed amount for reimbursement.

• Performance Bonus: Earn an annual performance bonus based on your achievements.

• Career Advancement: Explore numerous opportunities for professional growth and career advancement.

• Extra Vacation Days: Take advantage of additional vacation days to relax and recharge.

Here, your ideas, your curiosity and your technical excellence directly shape the next era of advanced computing - unlocking enterprise value, accelerating scientific progress and driving positive impact for society.