AstraZeneca is a general biopharmaceutical company focused on discovering, developing, and commercialising prescription medicines for serious diseases. Its R&D; IT supports drug research, development, product and portfolio strategy, medical affairs, and corporate functions. The Data & Analytics team provides analytics, data, and insight services supporting R&D; Science IT and the company’s Data and AI/ML strategy, including efforts to transform antibody discovery.

Design, build, enhance, and maintain scalable ETL/ELT pipelines for efficient data ingestion and processing Design, develop, and maintain REST APIs for system integration Support data, design, product, and executive stakeholders with technical data questions Maintain the AWS base infrastructure Tune SQL queries and ETL pipelines for performance Identify opportunities for efficiency and automation Investigate data issues, analyse end-to-end pipelines,



and partner with users to resolve them Stay current with recent technology developments and industry practices Maintain and refine a front-end application Contribute to solution development and testing Provide technical guidance throughout the software development lifecycle Solid development skills with practical knowledge of Python, Git, and versioning Experience with big data, ETL, and cloud tools and techniques Good hands-on experience with AWS DevOps-first approach with extensive experience using GitHub and GitHub Actions or similar tools SQL experience PostgreSQL is preferred Ability to design and document development best practices Solid analytical and data manipulation skills Experience providing technical guidance within data and analytics teams Some front-end development and JavaScript/TypeScript experience, with a stronger focus on data and backend work Nice to have: familiarity with Agile practices and Jira, experience with visualisation technologies such as Power BI, understanding of AI code-generation opportunities, capabilities, and limitations, experience with Terraform and Infrastructure as Code, experience with Iceberg, Glue, and/or Hive Hybrid schedule: 3 days at the office and 2 days at home in Barcelona. #

📌 data engineer for drug development (Barcelona)
🏢 Enfint
📍 Barcelona