Data Support Engineer

AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. R&D IT is AZ’s global IT capability function supporting key science related business areas operating out of sites across the US, UK, Sweden, India & Mexico. We have a varied range of data engineering projects which use the latest cloud and architectural best practices to deliver a broad range of data solutions for the business. For example, monitoring Patient Safety aspects of the COVID-19 Vaccine and providing Operational and Financial business intelligence on the latest drugs in the development pipeline.

We are looking for a passionate Data Engineer who will leverage tools & technology best practices to improve delivery performance & data engineering capabilities in the D&A space.

Hybrid role: 3 days at the office 2 days remote

ROLES & RESPONSIBILITIES:

• You will be part of a truly Agile and DevOps team which provides data engineering (ETL, Data Products, Reports) support across the R&D IT portfolio
• Deliver cost effective solutions to support data engineering activities, for example data ETL workflows
• Test and quality assess new D&A solutions, to ensure they are fit for release: code assurance, Unit and System Integration Testing, Data testing, release management control and support of UAT processes
• Ensure that business data and information assets are made available as data services and artefacts for consumption by the wider AZ enterprise

MANDATORY SKILLS:

• SQL proficiency for data analysis and transformation.
• Any Database experience, preferably Snowflake
• Experience of working with a range of data analytics architectures. These may include: modern data warehouses (Snowflake, Redshift), distributed computing, visualization analytics
• Familiar with using version control (branching, merging etc), ideally Git
• Experience and familiarity with data models and artefacts
• Interpret data, process data, analyze results and provide ongoing support of productionized applications
• Strong analytical skills with the ability to resolve production issues
• Understanding of business area / process in scope
• Willing to work in a cross cultural environment
• Ability to work effectively independently or as part of a team to achieve objectives.
• Eager to learn and develop new tech skills as required

DESIRED SKILLS:

• Experience with & knowledge of Python, particularly in conjunction with serverless technology such as AWS Lambda and AWS Glue
• Cloud Engineering Experience deploying Infrastructure as Code, particularly Terraform.
• Experience on CI/CD workflows.
• DBT fundamentals. Experience with modeling (staging, intermediate, marts), materializations (table, view, incremental, ephemeral), and project configuration.

Date Posted

28-ene-2026

Closing Date

26-feb-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.

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 authorisation and employment eligibility verification requirements.