Senior Data Engineer

Job Description

Job Title: Senior Data Engineer

GCL: D1

Introduction to role

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 with ML Ops, Data Engineering, and Cloud Dev Ops experience, 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 ML models on cloud-native platforms, accelerating scientific breakthroughs like never before.

Accountabilities

Architect of Solutions: Lead the design, development, and enhancement of scalable ML Ops/Data pipelines and Data Products on cloud-native platforms.

Technical Expertise: Demonstrate your expertise in Python, Pyspark, Docker, Kubernetes, and AWS ecosystems to deliver exceptional solutions.

Collaborative Spirit: Work hand-in-hand with global and diverse Agile teams, from data to design, to overcome technical data challenges.

Innovate & Inspire: Stay ahead of the curve by integrating the latest industry trends and innovations into your work such as GenAI.

Essential Skills/Experience

• A proactive mindset and enthusiasm for Agile environments.
• Strong hands-on experience with cloud providers and services.
• Experience in performance tuning SQL and ML Ops data pipelines.
• Extensive experience in troubleshooting data issues, analyzing end-to-end data pipelines, and working with users in resolving issues.
• Masterful debugging and testing skills to ensure excellence in execution.
• Inspiring communication abilities that elevate team collaboration.
• Experience of structured, semi-structured (XML, JSON), and unstructured data handling including extraction and ingestion via web-scraping and FTP/SFTP.
• Production experience delivering CI/CD pipelines (Github, Jenkins, DataOps.Live).
• 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.

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 is a place where your work has a direct impact on patients, transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Here you can innovate, take ownership, and explore new solutions in a dynamic environment that values diversity and inclusivity.

Ready to make a difference? Apply now!

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.