Описание AstraZeneca is a integral 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.

Задачи 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

Share responsibility for delivery

Set expectations, share progress, and build relationships with stakeholders

Provide technical guidance throughout the software development lifecycle

Identify opportunities to reduce operating costs in existing production services





Требования 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

Experience triaging and resolving tickets

Experience working in globally distributed teams

Ability to design and document development best practices

Good experience with API design, documentation, and REST

Solid analytical and data manipulation skills

Experience providing technical guidance within data and analytics teams

Strong interpersonal skills and a collaborative approach to delivery

Ability to partner with business colleagues and build trusted relationships

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

Условия Hybrid schedule: 3 days at the office and 2 days at home in Barcelona.

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