Job Title Data Engineer

Location Barcelona, Spain

About the Job We are an innovative integral healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

You will join this dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D.; You will work as part of a Data & AI Product Delivery Pod, led by a Product Owner, in an agile environment to deliver Data & AI products. As part of this team, you will be responsible for design and development of data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data.

You will have the ability to work on multiple data products serving multiple areas of the business.

Main Responsibilities

Provide input into the engineering feasibility of developing specific R&D; Data/AI Products

Provide input to Data/AI Product Owner and Scrum Master to support planning, capacity, and resource estimates

Design, build, and maintain scalable and reusable ETL / ELT pipelines to ingest, transform, clean, and load data from sources into central platforms / repositories

Structure and provision data to support modeling and data discovery, including filtering,



tagging, joining, parsing and normalizing data

Collaborate with Data/AI Product Owner and Scrum Master to share progress on engineering activities and inform of any delays, issues, bugs, or risks with proposed remediation plans

Design, develop, and deploy APIs, data feeds, or specific features required by product design and user stories

Optimize data workflows to drive high performance and reliability of implemented data products

Oversee and support junior engineer with Data/AI Product testing requirements and execution

Stay current on industry trends, emerging technologies, and best practices in data product engineering

Contribute to a team culture of innovation, collaboration, and continuous learning within the product team

About You

5+ years of experience in data engineering, software engineering, or related fields

Excellent communication and collaboration skills

Experience with cloud-based data platforms and analytics engineering stack (AWS, Snowflake, DBT), job scheduling and orchestration (Airflow is a plus), scripting languages (Python, Shell), SQL and relational databases, DevOps technologies like GitHub, GitHub Actions, Terraform, data structures and algorithms, and data models

Bachelor’s degree in software engineering or related field, or equivalent work experience

Excellent English communication and writing

📌 Data Engineer (Madrid)
🏢 Sanofi
📍 Madrid