Lead Consultant - Data Engineering

Introduction to role:

Are you ready to build the data foundations that accelerate life-changing medicines to patients? Do you want to turn complex, global data into decisions that transform how a science-led business operates at scale?

Join our Data Analytics and AI (DA&AI) team within Enabling IT to drive innovation in a leading pharmaceutical company. You'll employ your technical expertise to work and coordinate across various tech domains, including Data & Cloud Engineering, Software Engineering, and AI, while working closely with stakeholders. You'll deliver brand-new DA&AI solutions for various business units which Enabling IT is in partnership with.

Accountabilities:

• Design, develop, and lead scalable and robust data infrastructure to support analytics and AI projects.

• Collaborate with product managers, architects, and delivery managers to define and drive the technical vision, ensuring alignment with product objectives and business needs.

• Maintain detailed technical designs, refine user stories, and lead technical risks and resource allocation.

• Lead and mentor technical teams (Data Engineering, AI, etc.) and work with AI/GenAI leads to foster collaboration and innovation.

• Define and communicate governance frameworks for Data Engineering, including risk management and performance metrics.

• Develop and implement advanced analytical models to extract meaningful insights from large datasets.

• Ensure compliance with regulatory requirements, data security, and industry standards.

• Continuously supervise and improve the performance of data systems and analytics solutions.

• Ensure data solutions adhere to FAIR principles to enhance usability and sharing.

Essential Skills/Experience:

• Around 10 years in data and software engineering.

• Deep expertise in Data Engineering, Software Engineering and AI.

• Proficiency in technologies like Snowflake, DBT, Fivetran, and tools like Jira.

• Proficiency in writing sophisticated SQL queries, Stored Procedures, and other database-related tasks.

• Demonstrable understanding of DevOps, DataOps, and product management.

• Good understanding of Data Mesh and Data Product concepts.

• Experience with automation strategies (CI/CD etc) and containerisation (Kubernetes, Docker) will be an advantage.

• Good to have proficiency in programming languages such as Python, JavaScript etc.

• Able to develop and integrate applications using APIs will be a significant advantage.

• Familiarity with cloud platforms like AWS, Azure etc

• Knowledge of both SQL and NoSQL databases.

• Having experience in developing and deploying AI and machine learning applications will be beneficial.

Desirable Skills/Experience:

• Bachelor's or Master’s degree in a relevant field or equivalent experience.

• Experience in the pharmaceutical industry or similar large multinational environments.

Why AstraZeneca:

Here, technology and science meet to deliver impact you can see—faster discovery, smarter development, and better access for patients. You will work with modern platforms and bold thinkers, often bringing unexpected teams into the same room to unleash new ideas, backed by meaningful investment and the freedom to experiment. We value kindness alongside ambition, encouraging transparent collaboration, continuous learning, and the courage to challenge norms, so your contribution scales beyond a single product and helps redefine what digital, data, and AI can do for healthcare.

Call to Action:

Lead the data agenda that speeds breakthroughs to patients—submit your application and shape what’s next today!