{"id":2074639,"url":"https://alion.io/job/sanofi-data-ai-engineer","title":"Data & AI Engineer","company":{"id":146,"name":"Sanofi","domain":"sanofi.com","url":"https://alion.io/company/sanofi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":89,"ghost_share":0,"stale_share":0.258,"repost_share":0.034,"time_to_fill_p50_days":15,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":54400,"max":81600,"currency":"EUR","period":"year","gross":null,"usd_annual":91280},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-08T08:32:29Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T00:18:39Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"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.\nThis job offer is accessible to all, regardless of gender.\nJob title: Data & AI Engineer\nLocation: Paris, France\nWork Arrangements: Hybrid (Monday, Tuesday, Wednesday onsite)\nAbout the job\nAs 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?\nBased 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.\nAbout Sanofi:\nWe’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.\nMain responsibilities:\nDesign and implement end-to-end data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.\nDevelop and optimize data models with a focus on query performance and efficient workloads.\nCollaborate with cross-functional teams to translate business requirements into technical solutions, defining clear interface contracts between data products and applications.\nEnforce data quality, standardization, observability, and governance across systems, aligning with industry compliance standards and data privacy requirements.\nAutomate data ingestion processes and monitoring systems to track operational KPIs, troubleshoot issues, and maintain pipeline health.\nBuild and maintain ETL processes and machine learning workflows, providing clean AI ready data for our applications.\nActively contribute to transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, also participate in peer review of code and technical documentation.\nAbout you\nExperience:\nStrong track record in designing and implementing data pipelines and data warehouse solutions in cloud environments.\nHands-on experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings.\nExperience working in cross-functional teams, translating business needs into technical solutions.\nTechnical Skills:\nStrong proficiency in SQL and data warehousing platforms (Snowflake preferred).\nHands-on experience with ETL tools (IICS or equivalent), data transformation tools (dbt preferred) and Python for data processing.\nStrong experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred).\nStrong experience with Generative AI technologies and best practices (e.g. Vector Databases).\nGood knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred).\nExperience in designing and implementing engineering patterns and technical standards.\nSoft Skills:\nCollaborative mindset with strong problem-solving abilities.\nSelf-motivated and able to take initiative in a fast-paced environment.\nEffective communication skills to work with both technical and business stakeholders.\nEducation: Master's degree in Computer Science, Engineering, or a related field.\nLanguages: English is mandatory\nWhat we offer you:\nA fixed salary over 12 months, supplemented by a short-term incentive, as well as a collective variable compensation based on Sanofi Group results.\nBecause taking care of our employees is also our mission:\n 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. \nWork-Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week \nTransportation: Public transport coverage up to 80% \nSavings & Retirement: Group Savings Plan and PERCOL with employer matching, and PERO \nProfessional Development: Internal and international mobility opportunities, learning & development opportunities \n And more: platforms dedicated to peer-to-peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits...\n#LIFRA #LI-Hybrid\nPursue progress, discover extraordinary\nBetter 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.\nAt 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.\nWatch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!\nThe salary range for this position is :€54,400.00 - €81,600.00Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. 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