Main responsibilities
Own delivery of defined data pipeline workstreams that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.
Develop, tune, and refactor data models with a focus on query performance, workload efficiency, and maintainability.
Partner with cross-functional teams to turn business requirements into technical solutions and delivery plans.
Implement data quality checks, apply governance standards, and drive clear remediation paths for quality issues.
Operate automated data ingestion, observability, and monitoring systems to track operational KPIs, troubleshoot issues, and improve pipeline health.
Build, maintain, and improve ETL processes and machine learning workflows, providing clean AI ready data for applications and downstream products.
Apply and share data engineering practices through design patterns, CI/CD integrations, containerized deployments, code reviews, and technical documentation.
About you
Experience
Experience owning delivery of data pipeline workstreams and data warehouse solutions in cloud environments.
Hands-on experience improving data models, ETL/ELT processes, and pipeline orchestration in production settings.
Experience partnering with cross-functional teams to shape technical solutions and delivery plans.
Technical Skills
Confident SQL skills on modern data warehousing platforms (Snowflake preferred), including performance-aware design.
Hands-on experience building and improving ETL/ELT pipelines (IICS or equivalent), data transformation models (dbt preferred), and Python data processing components.
Experience operating cloud data services (AWS preferred) and orchestration frameworks (Airflow preferred) for production workflows.
Practical DevOps and DataOps experience, including CI/CD (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred).
Ability to choose and apply engineering patterns and technical standards for defined workstreams.
Soft Skills
Owns delivery of defined data engineering workstreams with sound judgment, accountability, and attention to operational quality.
Partners confidently with cross-functional stakeholders to shape practical technical solutions.
Shares knowledge with peers and helps improve team practices through reviews and documentation.
Comfortable using approved AI-enabled tools to improve engineering productivity, documentation, code quality, and operational effectiveness, while following Sanofi's Responsible AI and data governance standards.
Patient-focused and quality-driven, with a collaborative mindset, high standards, and a constructive approach to feedback, problem-solving, and continuous improvement.
Education: Bachelor's or Master's degree in Engineering, Computer Science or a related field.
Languages: English is mandatory
What we offer you
A fixed salary over 12 months, supplemented by a short-term incentive, as well as a collective variable compensation based on Sanofi Group results.
Because taking care of our employees is also our mission
Benefits & Well-being: Quality health insurance, extended maternity/parental leave (18/14 weeks), enhanced support in case of illness, teleconsultation and second medical opinion covered by Sanofi, as well as many other wellness programs to discover here.
Work-Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week
Transportation: Public transport coverage up to 80%
Savings & Retirement: Group Savings Plan and PERCOL with employer matching, and PERO
Professional Development: Internal and international mobility opportunities, learning & development opportunities
And more: platforms dedicated to peer-to-peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits...
Why choose us?
Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.
Join a workplace where diversity, equity, and inclusion are at the core, with Employee Resource Groups and leadership programs that celebrate every voice.
Drive meaningful change in a streamlined, AI-powered organization that values smart, modern ways of working.
Collaborate with curious minds across borders, functions, and cultures in a fast-paced, purpose-driven environment.
Stay at the forefront of tech, with access to training programs and industry certifications, as well as excellent opportunities for progression.
Work in a safe, responsible environment guided by RAISE, our strategy for balancing digital innovation with the right level of risk management for every AI system.
#LIFRA #LI-Hybrid
Pursue progress, discover extraordinary
Better 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 :€48,000.00 - €72,000.00
- Final 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.
