Engineer - Data Engineering

Job Title: Engineer - Data Engineering

Career Level: C3

Introduction to role

Are you ready to make a difference in the world of biopharmaceuticals? At AstraZeneca, we are committed to discovering and developing life-changing medicines for some of the most serious diseases. As a Data Engineer, you'll play a pivotal role in enhancing our data engineering capabilities within the D&A space. Join us in leveraging cutting-edge tools and technology to drive innovation and improve delivery performance. Are you up for the challenge?

Accountabilities

• Provide data engineering support (ETL, Data Products, Reports) to the R&D IT portfolio.

• Deliver cost-effective solutions for data engineering activities, including data ETL pipelines using Python/PySpark/Lambda.

• Test and quality assess new D&A solutions to ensure they are fit for release, including code assurance, unit and system integration testing, data testing, release management control, and support of UAT processes.

• Ensure business data and information assets are available as data services and artefacts for consumption by the wider AstraZeneca enterprise.

Essential Skills/Experience

• Relevant Experience: 3 to 6 Years

• Good Experience in Python/PySpark/Lambda and implement best practices for error handling, optimization, job layout, job design and naming conventions.

• Good Experience in Graph Database like Cypher QL / Neo4j / Neptune.

• Amazon Web Services: Connecting, loading, and reading data from AWS Services like S3, Athena, Glue, Aurora Experience and familiarity with data models and artefacts.

• Familiar with using version control (branching, merging etc), ideally Git. Knowledge of working with Python project branches, merging them, publishing, and deploying code to runtime environments.

• Experience of working with a range of data analytics architectures. These may include traditional warehousing, distributed computing, visualization analytics.

• 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 across multiple time zones. Ability to work effectively independently or as part of a team to achieve objectives.

• Eager to learn and develop new tech skills as required.

• Good written and verbal skills, fluent English.

Desirable Skills/Experience

• Good to have domain knowledge (processes & data): Pharma R&D

• Any regulatory experience such as GxP

• Agile/Scrum process

• ITIL knowledge

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we connect across the entire business to drive impactful transformation. Our commitment to becoming a digital and data-led enterprise means you'll be at the forefront of innovation, turning complex information into practical insights that improve patient outcomes. Collaborate with leading experts in our specialist communities and be part of novel solutions that shape the future of healthcare. Here, your work is valued and recognized, offering endless opportunities for personal growth and development.

Ready to take your career to new heights? Apply now and be part of our journey towards transformative healthcare solutions!

Date Posted

Closing Date

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.