Data and AI Engineer

Description

The posting is written in English because the role involves many interactions with the company's international subsidiaries, and English is the working language.

You will join the Data team in the Manufacturing and Supply Chain department, based in Lyon, France. The team uses data, AI and digital tools to make the company's factories smarter, safer and more efficient, which affects how medicines reach patients.

The company is an R&D-driven biopharma business that uses AI. It develops medicines and vaccines for immune-related conditions.

The company works within its RAISE framework, which balances digital innovation with risk management for each AI system.

Responsibilities

• Own delivery of defined data pipeline workstreams that turn raw data into useful insights, with a focus on scalability and reliability in cloud environments.
• Build, maintain and improve ETL processes and machine learning workflows that produce clean, AI-ready data for applications and downstream products.
• Develop, tune and refactor data models for query speed, efficient workloads and long-term maintainability.
• Work with cross-functional teams to translate business needs into technical solutions and delivery plans.
• Set up data quality checks, apply governance standards and define clear steps to fix quality problems.
• Run automated ingestion, observability and monitoring systems, track operational KPIs, troubleshoot issues and improve pipeline health.
• Share data engineering practices through design patterns, CI/CD integrations, containerised deployments, code reviews and technical documentation.

Requirements

• Experience owning delivery of data pipeline workstreams and data warehouse solutions in cloud environments.
• Hands-on experience improving data models, ETL and ELT processes and pipeline orchestration in production.
• Experience working with cross-functional teams to shape technical solutions and delivery plans.
• Strong SQL skills on modern data warehousing platforms, with performance-aware design. Snowflake preferred.
• Hands-on experience building and improving ETL and ELT pipelines (IICS or equivalent), data transformation models and Python data processing components. dbt preferred.
• Experience running cloud data services and orchestration frameworks in production workflows. AWS and Airflow preferred.
• Practical DevOps and DataOps experience, including CI/CD, Git version control and infrastructure as code. GitHub Actions and Terraform preferred.
• Ability to choose and apply engineering patterns and technical standards for defined workstreams.
• Owns delivery of defined data engineering workstreams with sound judgment, accountability and attention to operational quality.
• Works confidently with cross-functional stakeholders to shape practical technical solutions.
• Shares knowledge with peers and improves team practices through reviews and documentation.
• Comfortable using approved AI-enabled tools to boost engineering productivity, documentation, code quality and operational effectiveness, while following the company's Responsible AI and data governance standards.
• Patient-focused and quality-driven, with a collaborative attitude, high standards and openness to feedback, problem-solving and continuous improvement.
• Education: a Bachelor's or Master's degree in Engineering, Computer Science or a related field.
• Languages: English is mandatory.

Conditions

Hybrid work: you are on site Monday, Tuesday and Wednesday.

You may work remotely up to 2 days a week.

Equal opportunities are provided to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

The salary range is €48,000 - €72,000. Final pay depends on experience, skills, location and other relevant factors.

Benefits

• A fixed salary paid over 12 months, plus a short-term incentive and a collective variable payment tied to Group results.
• Quality health insurance, extended maternity and parental leave (18 and 14 weeks), enhanced support during illness, and teleconsultation and second medical opinion covered by the company.
• Wellness programmes and prevention support for you and your family, with at least 14 weeks of gender-neutral parental leave.
• 31 days of paid leave plus RTT, depending on your status.
• Public transport coverage of up to 80%.
• Group Savings Plan and PERCOL with employer matching, plus PERO.
• Internal and international mobility, learning and development, training programmes and industry certifications, and progression opportunities.
• Peer-to-peer recognition and service exchange platforms (carpooling, home exchanges and more), plus CSE benefits.
• Employees may be eligible for the company's employee benefit programmes.