You will work in the Digital Commercial Accelerator team in Paris, France, which is building data, AI and digital tools for the company's commercial business.
The company is an R&D-driven biopharma firm that uses AI across its work and invents medicines and vaccines for people around the world.
The team works with subsidiaries abroad, so English is the working language of the role.
Responsibilities
Build cloud-based pipelines that turn raw data into useful insights, designed to scale and stay reliable.
Design and tune data models so queries run quickly and workloads stay efficient.
Work with cross-functional colleagues to turn business needs into technical solutions, and define clear interface contracts between data products and applications.
Set and enforce standards for data quality, governance and observability that meet industry compliance and data privacy rules.
Automate data ingestion and monitoring, track operational KPIs, troubleshoot faults and keep pipelines healthy.
Create ETL processes and machine learning workflows that deliver clean, AI-ready data to applications.
Help shape engineering practice across teams, covering design patterns, CI/CD, containerised deployments, and peer review of code and technical documentation.
Requirements
A solid record of building data pipelines and data warehouse solutions in cloud environments.
Hands-on work with data modelling, ETL or ELT, and pipeline orchestration in production.
Experience turning business needs into technical solutions within cross-functional teams.
Strong SQL skills and experience with data warehouse platforms. Snowflake is preferred.
Hands-on experience with ETL tools such as IICS or an equivalent, and Python for data processing. dbt is preferred for transformation.
Strong experience with cloud platforms and orchestration frameworks. AWS and Airflow are preferred.
Strong experience with generative AI technologies and good practice around them, such as vector databases.
Good knowledge of CI/CD practice, Git version control and infrastructure as code. GitHub Actions and Terraform are preferred.
Experience designing engineering patterns and technical standards.
Collaborative, strong at problem solving, self-motivated and able to take initiative in a fast-moving setting.
Clear communication with both technical and business stakeholders.
A master's degree in computer science, engineering or a related field.
English is mandatory.
Conditions
Hybrid role based in Paris, France, with onsite days on Monday, Tuesday and Wednesday.
Remote work of up to 2 days a week.
The fixed salary is paid over 12 months. The salary range for this position is €54,400.00 to €81,600.00.
Final compensation depends on demonstrated experience, skills, location and other relevant factors.
31 days of paid leave plus RTT, depending on your status.
Equal opportunity applies regardless of gender, race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Benefits
A short-term incentive on top of the fixed salary, plus a collective variable payment based on Group results.
Quality health insurance, enhanced support during illness, and teleconsultation and second medical opinion covered by the company.
Extended maternity and parental leave (18/14 weeks).
A range of wellness programs.
Public transport coverage of up to 80%.
Group Savings Plan and PERCOL with employer matching, plus PERO.
Internal and international mobility, plus learning and development opportunities.
Peer-to-peer recognition and service exchange platforms, such as carpooling and home exchanges, and numerous works council (CSE) benefits.