Senior Data Engineer

As a Senior Data Engineer on the Drug Development Data Platform (3DP),you'llcontribute to solution development and testing, offer technical guidance, and share responsibility for delivery. This is a partially business-facing role, so your communication and technical skills are equally valued -you'llbe helping to set expectations, share progress, and build relationships with stakeholders.

You'llbring a broad range of knowledge and experience across data and analytics, workingalmost exclusivelyon our AWS data platform.You'lljoin a team responsible forkey systems that make clinical trial data available to stakeholders through scalable, cloud-based ETLs managed via a web application.

You'llbe part of a team of engineers who work closely with IT colleagues across Mexico, Spain, India, Poland, and the UK.You'llserve as a technical point of reference within the team, and a collaborative delivery approach will help you thrive. Wegenerally favourAgile, though we choose the best-fit approach for each team and set of stakeholders, so familiarity with a range of delivery methods is welcome.You'lloffer technical guidance throughout our software development lifecycle - from early concept development through toidentifyingopportunities to reduce operating costs in existing production services.

• Design, build, enhance, andmaintainscalable ETL/ELT pipelines for efficient data ingestion and processing.
• Design, develop, andmaintainREST APIs intended for system integration.
• Support stakeholders - including data, design, product, and executive teams - with technical data questions.
• Help keep the AWS base infrastructure wellmaintained.
• Tune SQL queries and ETL pipelines for performance.
• Identifyopportunities for efficiency and automation.
• Investigate data issues, analyse end-to-end pipelines, and partner with users to resolve them.
• Stay current with developments in recent technology and industry practices.
• Maintain and refine a front-end application.

• Solid development skills, with practical knowledge of Python, source control (Git), and versioning.

• Experience with big data, ETL, and cloud tools and techniques (we currently use AWS-based Python, Terraform, Glue, S3, SQS, and ECS).

• A mindset oriented toward automated testing.

• Good hands-on experience within the AWS ecosystem.

• A DevOps-first approach, with extensive experience using GitHub / GitHub Actions (or similar tools).

• SQL experience (PostgreSQL preferred).

• Experience triaging and resolving tickets.

• Experience working within a globally distributed team.

• Ability to design and document development best practices.

• Good experiencein API design (documentation, REST, etc.).

• Solid analytical and data manipulation skills.

• Experienceprovidingtechnical guidance within data and analytics teams.

• Great interpersonal skills and a collaborative approach to delivery.

• Comfortable partnering with, and building trusted relationships with, business colleagues.

• Some exposure to front-end development and JavaScript/TypeScript, with a stronger focus on data and backend work.

• Familiarity with Agile practices, using tools such as Jira.

• Experience with visualisation technologies (we focus on Power BI).

• A good understanding of AI code-generation opportunities, capabilities, and limitations.

• Experience with Terraform (IaC).

• Experience with Iceberg, Glue, and/or Hive.

AstraZeneca is a global, innovation-focused biopharmaceutical company dedicated to the discovery, development, and commercialisation of prescription medicines for some of the world's most serious diseases.We'remore than one of the world's leading pharmaceutical companies -we'reproud to nurture a workplace culture that encourages innovation and collaboration. Here, employees are supported to share diverse perspectives and are made to feel valued, energised, and appreciated for their ideas and creativity.

R&D IT is a global IT capability supporting Drug Research, Drug Development, Product & Portfolio Strategy, Medical Affairs, Finance, HR, Compliance, Legal, and Global Business Services. We are organised around seven key capability areas: Business Partnering, Solution Delivery, Architecture, Application Support, Data & Analytics, and Change & Operations - with colleagues based across the US, UK, Sweden, India, and Mexico.

The Data & Analytics team provides technical support for the analytics, data, and insight services that are central to the Data and AI/ML strategy of R&D Science IT and AstraZeneca. The team is organised into groups specialising in Information Architecture, Data Engineering, Visual Engineering, Knowledge Management, Data Science, Data Analysis, and Information Governance.

We have taken on a meaningful goal: helping to transform antibody discovery at AstraZeneca by significantly shortening the time it takes toidentifya clinical candidate, supported by world-class technology and advanced data and AI capabilities.

09-sept-2026

22-sept-2026

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.