Senior Data 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 Engineer

We are looking for a Senior Data Engineer to design, build and optimise enterprise-grade data platforms and scalable data pipelines supporting analytics, reporting and advanced data use cases.

This role requires strong hands-on expertise in GCP, Apache airflow and modern data engineering practices, with the ability to work across architecture, engineering delivery and operational support in a complex enterprise environment.

Key accountabilities

• Design, develop and maintain scalable batch and near real-time data pipelines using GCP Cloud Composer, Apache Airflow and GCP-native services.
• Build robust end-to-end ETL/ELT workflows integrating multiple internal and external data sources.
• Develop reusable, performant and production-ready data engineering solutions aligned with enterprise standards.
• Implement and optimize data models supporting analytical and reporting use cases.
• Ensure data quality, reliability, observability and consistency across the full data lifecycle.
• Monitor, troubleshoot and resolve production incidents related to data pipelines and platform performance.
• Drive optimization initiatives for python (metadata driven) airflow frameworks, storage usage and processing efficiency.
• Collaborate with architects, analysts, product owners and business stakeholders to translate requirements into scalable technical solutions.
• Contribute to data platform architecture decisions, engineering standards and best practices.
• Support CI/CD implementation, release processes and automation for data engineering deployments.
• Ensure compliance with governance, security and enterprise data management standards.

Required experience:

• 5+ years of experience in Data Engineering within enterprise environments.
• Very strong Python coding skills, hands-on experience with e2e airflow framework development.
• Strong hands-on experience with Apache Airflow.
• Strong SQL and data modelling knowledge.
• Advanced experience with Bigquery or equivalent big data system.
• Solid experience with GCP data ecosystem services or equivalent,
• Hands-on experience with Cloud Composer preferred or similar distributed systems.
• Experience building and supporting production-grade ETL/ELT pipelines.
• Strong understanding of data quality controls, monitoring and operational support.
• Experience with performance tuning and optimisation of distributed data workloads (i.e. Bigquery performance tuning - slot usage, SP optimization, etc).
• Familiarity with CI/CD practices and DevOps delivery models.

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.