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Full-Stack Data EngineerAstraZeneca · Mexico - Guadalajara
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AstraZeneca

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Full-Stack Data Engineer

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🗓️ Posted 2026-09-01 Mexico - Guadalajara Full-time Hybrid ICT
💰 Salary Not shared 📊 Market 45,000 GBP–80,000 GBP/mo

About the Company

We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet. For more information, visit www.astrazeneca.com. Community Guidelines: bit.ly/2MgAcio Pharmaceutical Manufacturing Specialties: Pharmaceutical, Biopharmaceutical, Innovation, Research and development, Global business

Responsibilities

  • ● Design, build, and support scalable data pipelines, data products, and data applications that serve business and analytics needs.
  • ● Apply software engineering best practices to data engineering, including modular design, version control, code review, automated testing, documentation, and maintainable architecture.
  • ● Develop Python-based solutions for data processing, orchestration, integration, automation, and supporting application components where required.
  • ● Own and improve DevOps/DataOps practices for data solutions, including CI/CD, environment promotion, release automation, observability, incident response, and production support.
  • ● Deliver robust, cost-effective, and automated solutions to address recurring business questions and analytical demands.
  • ● Design and implement data solutions aligned with enterprise standards, architecture roadmaps, and platform best practices, working closely with Data Architects and Solution Architects.
  • ● Test and quality assure data and analytics solutions to ensure they are fit for release, including code assurance, unit testing, integration testing, data validation, performance tuning, and release management.
  • ● Support operational excellence through proactive monitoring, root-cause analysis, issue resolution, and continuous improvement of SLAs and service reliability.
  • ● Promote engineering consistency across the team by disseminating best practices, coaching peers, contributing reusable patterns, and helping improve standards, tooling, and ways of working.
  • ● Evaluate and adopt new technologies relevant to data engineering, software engineering, and platform automation, including proof-of-value assessments and contribution to business cases.
  • ● Contribute to estimates, delivery planning, and solution design for new data initiatives and enhancements.
  • ● Ensure business data assets are delivered as trusted, discoverable, and reusable data products/services for broader enterprise consumption, in alignment with strategic data principles.
  • ● Collaborate with other teams and stakeholders to achieve business objectives.