Associate Director, Data Engineering – On-Site Barcelona

AstraZeneca

España

On-site

EUR 120,000 - 180,000

Full time

5 days ago
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Job summary

AstraZeneca in Barcelona, Spain, is seeking an Associate Director, Data Engineer to shape enterprise-grade data solutions for complex R&D workflows. You will design modular, configurable capabilities that scale across projects, enabling data to be findable, interoperable, and reusable, with a focus on automated pipelines and high reliability.

In this on-site role, you will lead technical delivery, mentor junior engineers, and ensure alignment with security and governance standards while

Qualifications

  • Experience designing, developing, deploying, and maintaining data/software solutions for complex workflows.
  • Strong Python programming and knowledge of other languages.
  • Experience with AWS cloud services (S3, Lambda, Step Functions, CloudWatch, IAM).
  • Experience with relational databases and data integration/processing.
  • Design modular, configurable, reusable solutions.
  • Translate business or scientific needs into technical requirements.
  • Experience delivering technical work in an agile environment.
  • Ability to evaluate options and explain trade-offs on scalability, security, cost.

Responsibilities

  • Prototype, design, develop, and deploy modular data solutions for end-to-end R&D workflows.
  • Align architecture with security requirements and apply modern engineering practices.
  • Lead delivery, manage risks, and provide transparent updates to stakeholders.
  • Mentor junior colleagues and coordinate with internal and external partners.
  • Engineer FAIR+T compliant data capabilities with traceability and governance.
  • Map critical workflows and drive value through reusable capabilities.

Skills

Python
AWS
Relational databases
Data integration
Modular architecture
Agile experience

Tools

AWS S3
AWS Lambda
AWS Step Functions
CloudWatch
IAM

Job description

AstraZeneca in Barcelona, Spain, is seeking an Associate Director, Data Engineer to shape enterprise-grade data solutions for complex R&D workflows. You will design modular, configurable capabilities that scale across projects, enabling data to be findable, interoperable, and reusable, with a focus on automated pipelines and high reliability.

In this on-site role, you will lead technical delivery, mentor junior engineers, and ensure alignment with security and governance standards while

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