Senior Consultant - Data Engineer

Job Title: Senior Consultant - Data Engineer

Grade: D2

Introduction to role:

Our R&D IT team is a driving force of technological advancement, backing a range of areas such as Drug Research, Development, and beyond. With our presence spanning across North America, the UK, Sweden, India, and Mexico, we’re a truly global powerhouse, united by our passion for innovation. Our Data & Analytics team is at the heart of this mission, specializing in cutting-edge fields like Data Engineering, Generative AI, and Data Science. Join us to not just keep up with the newest technological trends but to set them.

At AstraZeneca, we believe in more than just making life-changing medicines; we believe in a future where discovery is defined by bold, dynamic, and visionary individuals. As a Data Engineer, you’ll be at the forefront of a revolution in drug discovery, harnessing the power of remarkable technology and advanced AI capabilities. Work collaboratively in our dynamic, globally distributed team to design and implement cutting-edge ETL/ELT solutions in the cloud, accelerating scientific breakthroughs like never before.

Accountabilities

• Lead the design, development, and enhancement of scalable ETL pipelines and Data Products as part of a Data Mesh inspired strategy.
• Demonstrate your expertise in ELT solutions (Python, Pyspark, Glue) and AWS ecosystems to deliver exceptional solutions.
• Collaborate with global and diverse Agile teams to overcome technical data challenges.
• Integrate the latest industry trends and innovations into your work such as GenAI.

Essential Skills/Experience

• 7 to 9 years of experience
• A proactive mindset and enthusiasm for Agile environments.
• Strong hands-on experience with cloud providers and services.
• Experience in performance tuning SQL and ETL pipelines.
• Extensive experience in troubleshooting data issues, analyzing end-to-end data pipelines, and working with users to resolve issues.
• Masterful debugging and testing skills to ensure excellence in execution.
• Inspiring communication abilities that elevate team collaboration.
• Experience handling structured, semi-structured (XML, JSON), and unstructured data including extraction and ingestion via web-scraping and FTP/SFTP.
• Production experience delivering CI/CD pipelines (Github, Jenkins, GitHub Actions).
• Excellent Cloud DevOps Engineer who can develop, test, and maintain CICD Pipeline using Terraform, cloud formation.
• Remain up to date with the latest technologies like GenAI / AI platforms and FAIR scoring to improve outcomes.

Desirable Skills/Experience

NA

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.

AstraZeneca offers an environment where you can lead the way in digital healthcare. From exploring data and AI to working in the cloud on new technologies, you will be part of a team at the forefront. Help shape and define the technologies of the future with the backing you need from across the business.

Ready to make a difference? Apply now and join us on this exciting journey!

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.