Data Service Engineer

Location: Budapest – Sanofi Business Services, Váci Greens

Hybrid working

About the job

As Data Service Engineer within our Digital Data team, you'll help power Sanofi's AI-first transformation by ensuring our data products deliver exceptional service and drive real impact for patients worldwide. Ready to get started?

Join the digital engine driving Sanofi's transformation – where AI, automation, and bold experimentation power faster science and smarter decisions. Our Digital Data organization is on a mission to transform Sanofi into a data-first and AI-first company by empowering everyone with good data. Through custom-developed products built on world-class data foundations and platforms, we're building value and a unique competitive advantage that scales across our markets, R&D, and manufacturing sites. Based in major hubs including Paris, Lyon, Barcelona, Cambridge, Bridgewater, Toronto, and our newest office in Budapest, you'll join a dynamic, fast-paced team using AI to chase the miracle of science.

About Sanofi

We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.

Main responsibilities

• Support and enhance data products by working closely with Product Line and Business teams to develop new features, improve functionality, and ensure service level agreements are consistently met.
• Troubleshoot data pipeline issues and collaborate across teams to resolve incidents quickly and effectively.
• Monitor service performance, define key metrics, and ensure data products meet agreed quality and availability standards.
• Own the complete lifecycle of technical solutions and service offerings, from delivery through ongoing management and continuous improvement.
• Develop and maintain data pipelines using modern tools and technologies, optimizing performance to support advanced analytics, AI, and machine learning initiatives.
• Create clear documentation and knowledge articles that support knowledge transfer, training, and long-term maintenance.
• Identify and implement opportunities for automation, efficiency gains, and service improvements that benefit our global patients and customers.

About you

• Experience: Solid background in data engineering, integration, data warehousing, or business analytics, with hands-on experience using tools like Spark/Scala, Informatica/IICS/Dbt, and cloud platforms
• Technical skills: Strong knowledge of SQL, relational databases, data structures and algorithms, scripting languages (Python, Shell), and experience with Snowflake and Informatica Cloud; familiarity with job orchestration tools like Airflow is a plus
• Service mindset: Understanding of ITIL practices and service level management, with the ability to define, monitor, and improve service delivery
• Problem-solving: Pragmatic approach to solving complex technical challenges, with strong analytical skills and attention to detail
• Collaboration: Service-oriented team player with excellent communication skills who thrives in cross-functional, agile environments
• Education: Bachelor's degree in Computer Science, Engineering, or a relevant field
• Languages: Fluent in English (other languages are a plus)

Why choose us?

• Opportunity to contribute to a company that is a leader in healthcare and pioneer in digital transformation
• Endless opportunities to grow your talent and drive your career, locally or internationally
• Comprehensive rewards package that recognizes your contribution
• Extensive health and wellbeing benefits including high-quality healthcare and wellness programs

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