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Sanofi

Global pharma company; vaccines and R&D

Data & AI Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeParis, France€64k - €96k

About the Job

Requirements

  • Proven track record in designing and implementing data pipelines and data warehouse solutions in cloud environments.
  • Hands-on experience with data modeling, extract, transform, and load (ETL) or extract, load, and transform (ELT) processes, and pipeline orchestration in production settings.
  • Background working in cross-functional teams and translating business needs into technical solutions.
  • The role typically requires eight or more years of relevant experience, though candidates demonstrating equivalent skills and capabilities are encouraged to apply.
  • Strong proficiency in SQL and data warehousing platforms.
  • Hands-on experience with ETL tools, data transformation tools, and Python for data processing.
  • Strong experience with cloud platforms, including orchestration frameworks.
  • Advanced knowledge of continuous integration and continuous delivery (CI/CD) practices, version control, and infrastructure as code principles.
  • Experience designing and implementing engineering patterns and technical standards.
  • A Master's degree in Computer Science, Engineering, or a related field.
  • English is mandatory.

Responsibilities

  • Design and implement end-to-end data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.
  • Develop and optimize data models with a focus on query performance and efficient workloads.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions, defining clear interface contracts between data products and applications.
  • Ensure data quality, standardization, observability, and governance across systems, aligning with industry compliance standards and data privacy requirements.
  • Automate data ingestion processes and monitoring systems to track operational key performance indicators (KPIs), troubleshoot issues, and maintain pipeline health.
  • Build and maintain ETL processes and machine learning workflows, providing clean, AI-ready data for applications.
  • Lead and promote transversal data engineering best practices, including design patterns, CI/CD integrations, and containerized deployments; participate in peer review of code and technical documentation standards.
  • Mentor team members and contribute to the team's technical growth through knowledge sharing and guidance.

Desired Qualifications

  • Snowflake is preferred.
  • IICS or equivalent ETL tools are preferred.
  • dbt is preferred.
  • AWS is preferred.
  • Airflow is preferred.
  • GitHub Actions is preferred.
  • Terraform is preferred.

About the Company

Sanofi

Global pharma company; vaccines and R&D

Sanofi is a global pharmaceutical and biotechnology company that develops, manufactures, and sells prescription medicines, over-the-counter products, and vaccines. Its products span immunology, oncology, rare diseases, and vaccines, addressing unmet medical needs through a strong focus on research and development. Sanofi's core product model relies on large-scale R&D, strategic partnerships, and licensing to bring new therapies to markets, with revenue generated from product sales and collaborations. The company differentiates itself by leveraging its global reach, diverse portfolio, and emphasis on patient-centric solutions, safety, and quality to navigate regulatory environments in developed and emerging markets. The company’s goal is to improve health outcomes and quality of life for people worldwide by delivering innovative treatments and vaccines that meet unmet medical needs.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1973

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