Accelerator Data & AI Engineering (Lyon)
- Location: Lyon, France
- Hybrid 3 day on site, 2 days WFH
- Design and implement data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments
- Develop and fine tune data models with a focus on query performance and efficient workloads
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Implement data quality checks and follow governance standards
- Support and maintain automated data ingestion processes and monitoring systems to track operational KPIs, troubleshoot issues, and maintain pipeline health
- Build and maintain ETL processes and machine learning workflows, providing clean AI ready data for our applications
- Apply and share data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer review of code and technical documentation
- Solid experience in implementing data pipelines and data warehouse solutions in cloud environments
- Strong experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings
- Experience working with cross-functional teams to translate business requirements into technical solutions
- Strong proficiency in SQL and data warehousing platforms (Snowflake preferred)
- Hands-on experience with ETL tools (IICS or equivalent), data transformation tools (dbt preferred) and Python for data processing
- Experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred)
- Knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred)
- Ability to implement engineering patterns and technical standards
- Collaborative mindset with strong problem-solving abilities
- Self-motivated and able to take initiative in a fast-paced environment
- Effective communication skills to work with both technical and business stakeholders
- Bachelor's degree (Engineering or Master's preferred) in Computer Science or a related field
- English is mandatory
- Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave
- Join a workplace where diversity, equity, and inclusion are at the core, with Employee Resource Groups and leadership programs that celebrate every voice
- Drive meaningful change in a streamlined, AI-powered organization that values smart, modern ways of working
- Collaborate with curious minds across borders, functions, and cultures in a fast-paced, purpose-driven environment
- Stay at the forefront of tech, with access to training programs and industry certifications, as well as excellent opportunities for progression
- Work in a safe, responsible environment guided by RAISE - our strategy for balancing digital innovation with the right level of risk management for every AI system
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