Data Engineer
Sanofi is hiring a Data Engineer in Budapest, Hungary. Level rates it ; you can apply on Sanofi.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- Sanofi has 1,300+ other open roles on Level.
- Posted in the last few days.
AI in this role
Location: Budapest
Hybrid working
About the job
As Data Engineer within our Digital Data team, you'll design and build the cloud-based data solutions that power Sanofi's data and AI teams, and help establish our new data technical delivery center in Budapest. 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 team works from hubs in Paris, Lyon, Barcelona, Cambridge, Bridgewater and Toronto, and is now opening a new office in Budapest. Here you'll help build the first biopharma company powered by AI at scale, with world-class mentorship and the chance to shape a brand-new team within an established organization.
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.
Join an Award-Winning Team at Sanofi Budapest Hub!
Be part of something exceptional. Our Budapest Hub has been recognized for workplace excellence, innovation, and our commitment to putting people first.
About the role
- Lead the technical design and development of cloud-first data pipelines and data engineering solutions, working from business and technical requirements.
- Work with business, product and analytics colleagues to break down high-level needs into clear technical plans, timelines and priorities.
- Improve existing pipelines (ETL) so they run faster, more reliably and at a sensible cost, and quickly fix issues that affect performance or timeliness.
- Review the work of peers to keep code quality high, and define good practices for code management, automated testing and deployment.
- Lead the effort to modernize and replace legacy data solutions and platforms, reusing or creating standard Sanofi data pipelines that deliver value to business use cases.
- Prepare clear documentation for knowledge sharing, training and maintenance, and present findings to stakeholders at all levels.
- Contribute to the Data Engineering community and stay up to date with emerging technologies, using AI-assisted development tools to boost productivity.
About you
- Experience: Hands-on experience in data engineering, data warehousing or a similar role, including big data integration on cloud platforms such as AWS and Snowflake, and working with large data sets (performance and query optimization).
- Technical skills: Strong Python and sql scripting, solid grasp of data structures and algorithms, good knowledge of relational databases. Experience with job orchestration is expected; Airflow is a plus.
- Ways of working: Experience with agile/scrum and with cross-functional teams, and the ability to pick up new technologies quickly and manage multiple priorities in a fast-paced environment.
- Soft skills: Pragmatic problem solver with attention to detail, a service-oriented and approachable team player, and clear communicator at every level.
- Education: Bachelor's degree or equivalent in Computer Science, Engineering or a related field.
- Languages: Fluent English (other languages are a plus).
Why choose us?
- Join the digital force behind Sanofi's AI-powered pipeline, where trusted data helps accelerate the discovery, development and delivery of treatments to patients.
- See your technical expertise directly translate into better decisions and better patient outcomes.
- Stay at the forefront of tech, with access to training programs and industry certifications, as well as excellent opportunities for progression.
- Enjoy daily opportunities to collaborate and share knowledge in an environment based on open dialogue and mutual respect.
Office of the Year 2025 – Evolution Award
Our most recent award – Sanofi is recognized for creating an innovative workspace that supports collaboration and adaptability.
Marketing Diamond Award 2026 – Employer Branding
One of the highest honours at Hungary's prestigious Marketing Diamond Awards, recognizing excellence in employer branding.
BSC Investor of the Year 2025
Awarded by HIPA, ABSL Hungary, and AmCham Hungary for our contribution to Hungary's business services sector.
PwC Workforce Preference Survey 2025 – Top 3 Most Attractive Employers
Ranked 3rd among the most attractive employers in Hungary.
Hungarian Employer Branding Awards 2025 – Gold & Silver
Best Strategic Employer Branding Campaign (Gold) and Best Employer Branding Campaign in the Pharma Sector (Silver).
#Sanofi #WeNeverSettle #SanofiCareers #PursueProgress #DiscoverExtraordinary #joinsanofi #careerswithpurpose #LI-EUR
Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
The salary range for this position is :Ft13 120 000,00 - Ft19 680 000,00Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.
How we rate this
Data Engineer at Sanofi rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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- $146k
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