Data & AI Engineer

Description

You will join the Digital Commercial Accelerator team of a biopharma company that is R&D-driven and uses AI across its business. The team uses data, AI and digital tools to change how commercial work gets done, with the goal of getting treatments to patients faster and more reliably.

The role is based in Paris and focuses on turning data into tools that the business can use. Your work will feed projects across the company's international affiliates, so you will work in English every day.

The team is growing its skills in data engineering and AI, and you will have a chance to build those skills alongside experienced colleagues.

Responsibilities

• Build cloud-based pipelines that turn raw data into usable insights, making sure they scale and run reliably.
• Create and tune data models so queries perform well and workloads run efficiently.
• Work with cross-functional teams to turn business needs into technical designs, and define clear interface contracts between data products and applications.
• Maintain data quality, consistent standards, observability and governance across systems, in line with compliance rules and data privacy requirements.
• Automate data ingestion and monitoring, track operational KPIs, troubleshoot problems and keep pipelines healthy.
• Build and maintain ETL processes and machine learning workflows that deliver clean data ready for AI use.
• Set and promote data engineering best practices, including design patterns, CI/CD, containerized deployments and documentation standards. Take part in peer code and documentation reviews.
• Mentor team members and help them grow technically by sharing knowledge and giving guidance.

Requirements

• Proven experience designing and building data pipelines and data warehouse solutions in cloud environments.
• Hands-on experience with data modeling, ETL/ELT and pipeline orchestration in production.
• A record of working in cross-functional teams and turning business needs into technical solutions.
• Typically eight or more years of relevant experience. Candidates who show equivalent skills and capabilities are also encouraged to apply.
• Strong SQL skills and experience with data warehousing platforms. Snowflake is preferred.
• Hands-on experience with ETL tools such as IICS or an equivalent, data transformation tools and Python for data processing. dbt is preferred.
• Strong experience with cloud platforms. AWS is preferred. Orchestration frameworks are also preferred, with Airflow as the preferred option.
• Advanced knowledge of CI/CD, Git version control and infrastructure as code. GitHub Actions and Terraform are preferred.
• Experience designing engineering patterns and technical standards.
• Collaborative attitude and strong problem-solving skills.
• Self-motivated, able to take initiative in a fast-paced 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

Location: Paris, France, with a hybrid work model.

Remote work of up to 2 days per week.

Compensation: a fixed salary paid over 12 months, a short-term incentive and a collective variable payment based on the group's results.

The salary range is €64,000 - €96,000. Final pay depends on experience, skills, location and other relevant factors.

Employees may be eligible for the company's employee benefit programs.

The company provides equal opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.

Benefits

• Quality health insurance, enhanced sick-pay support and teleconsultation and second medical opinion covered by the company.
• Extended maternity and parental leave of 18/14 weeks.
• 31 days of paid leave plus RTT days, 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, plus learning and development opportunities.
• Peer-to-peer recognition, service exchanges between employees such as carpooling and home exchanges, and numerous works council (CSE) benefits.
• Access to training programs and industry certifications.