Data and AI Engineer

Coders Connect are partnering with Sanofi

Sanofi is a global biopharmaceutical company focused on human health. Through science and technology, they deliver life-changing medicines and vaccines to fight pain, ease suffering, and improve lives. Digital & Data is central to their vision: building leading digital healthcare platforms, accelerating drug discovery, and enhancing patient outcomes through data, AI, and advanced analytics.

Main responsibilities:

• Work with cross-functional teams to build and maintain scalable data pipelines.
• Design and optimize ETL processes in AWS for data transformation, ingestion, and governance.
• Enable integration of regulatory data into the Knowledge Graph.
• Support ML workflows by providing clean, structured data and deploying models into production.
• Ensure compliance with GxP, SOX, and data privacy standards.
• Contribute to DataOps and MLOps best practices using GitHub CI/CD, Airflow, and containerized deployments.

Requirements:

You are a proactive Data Engineer with experience delivering reliable data pipelines, driving automation, and supporting analytics and AI initiatives within a highly regulated environment. You are collaborative, solutions-focused, and committed to data quality, governance, and security.

Experience & skills:

• Strong background in automation, data models, and query optimization.
• Experience with compliance and cybersecurity; healthcare industry exposure is a plus.
• Proficient in AWS, SQL, data warehousing (Snowflake preferred), and Python or R.
• Familiar with GitHub, PowerBI/Tableau, and monitoring tools (Datadog, Splunk).
• Knowledge of real-world healthcare data (EHR, Claims) and standards (OMOP, FHIR).
• Excellent communication, problem solving, and team collaboration skills.

Education & languages:

• Degree in computer Science, Engineering, or related field.
• Fluent in English and French.