Data & AI Engineer

Posted 4 Days Ago
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Paris, Île-de-France, FRA
Hybrid
48K-72K Annually
Entry level
Healthtech
The Role
Design and maintain scalable cloud data pipelines, data models, ETL/ELT processes, data warehouses, ingestion workflows, and machine learning data workflows. Ensure data quality, governance, monitoring, and pipeline reliability while collaborating with business and technical stakeholders. Apply engineering best practices including CI/CD, containerized deployments, infrastructure as code, code reviews, and technical documentation. The role also requires strong SQL, Python, cloud, orchestration, and LLM experience.
Summary Generated by Built In

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail. 

This job offer is accessible to all, regardless of gender. 


Job title: Data & AI Engineer


●       Location: Paris, France

●       Hybrid


About the job

As a Data & AI engineer within our Digital Commercial Accelerator team, you will support efforts to revolutionize how Sanofi delivers life-saving medicines through data, AI and digital innovation. This role offers an excellent opportunity to develop and improve your expertise while contributing to impactful projects. Ready to grow your skills in a dynamic environment? 

 

Based in Paris, France, you will be part of a dynamic team driving Sanofi's digital transformation in commercial. Our Digital Commercial Accelerator is implementing cutting-edge technologies, making our business smarter and more efficient. Join the first biopharma company powered by AI at scale, where your expertise will directly impact how we deliver treatments to patients worldwide. 


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:


  • Design and implement data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.
  • Develop and fine tune data models with a focus on query performance and efficient workloads.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Implement data quality checks and follow governance standards.
  • Support and maintain automated data ingestion processes and monitoring systems to track operational KPIs, troubleshoot issues, and maintain pipeline health.
  • Build and maintain ETL processes and machine learning workflows, providing clean AI ready data for our applications.
  • Apply and share data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer review of code and technical documentation.

About you

Experience:

Solid experience in implementing data pipelines and data warehouse solutions in cloud environments.

Strong experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings.

Experience working with cross-functional teams to translate business requirements into technical solutions.
Strong experience working with LLMs

 

Technical Skills:

Strong proficiency in SQL and data warehousing platforms (Snowflake preferred).

Hands-on experience with ETL tools (IICS or equivalent), data transformation tools (dbt preferred) and Python for data processing.

Experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred).

Knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred).

Ability to implement engineering patterns and technical standards.

 

Soft Skills:

Collaborative mindset with strong problem-solving abilities.

Self-motivated and able to take initiative in a fast-paced environment.

Effective communication skills to work with both technical and business stakeholders.

 

Education: Bachelor's degree (Engineering or Master's preferred) in 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.

 

Pursue Progress. Discover Extraordinary.

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.


At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.


 #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.

Skills Required

  • Solid experience implementing data pipelines and data warehouse solutions in cloud environments
  • Strong experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings
  • Experience translating business requirements into technical solutions with cross-functional teams
  • Strong experience working with large language models
  • Strong proficiency in SQL and data warehousing platforms
  • Experience with Snowflake
  • Hands-on experience with ETL tools such as IICS or equivalent
  • Experience with data transformation tools such as dbt
  • Python experience for data processing
  • Experience with cloud platforms, preferably AWS
  • Experience with orchestration frameworks, preferably Airflow
  • Knowledge of CI/CD practices, preferably GitHub Actions
  • Version control experience with Git
  • Knowledge of infrastructure as code principles, preferably Terraform
  • Ability to implement engineering patterns and technical standards
  • Collaborative mindset and strong problem-solving abilities
  • Self-motivation and ability to take initiative in a fast-paced environment
  • Effective communication with technical and business stakeholders
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Master's degree in Computer Science, Engineering, or a related field
  • English language proficiency

Sanofi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.

  • Retirement Support — Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
  • Parental & Family Support — Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
  • Equity Value & Accessibility — Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.

Sanofi Insights

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The Company
HQ: Paris
85,000 Employees
Year Founded: 1973

What We Do

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms

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