15h Left Lead Data Engineer – Data Analytics And Ai

Job Title Lead Data Engineer - Data Analytics and AI Career Level E Introduction to role Are you ready to disrupt an industry and change lives Join our Data Analytics and AI team within Enabling IT to drive innovation in a leading pharmaceutical company As the Lead Data Engineer you ll spearhead the technical delivery of projects ensuring they align with business goals You ll leverage your technical expertise to lead and coordinate across various tech domains including Data Cloud Engineering Software Engineering and AI while collaborating closely with stakeholders Your mission Deliver cutting-edge Data Analytics and AI solutions for various business units in partnership with Enabling IT Are you up for the challenge Accountabilities Design develop and manage 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 manage 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 monitor 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 10 years in data and software engineering Deep expertise in Data Engineering Software Engineering and AI Strong understanding of DevOps DataOps and product management Experience with Agile methodologies and CI CD practices GitHub Actions Automation Testing Proficiency in technologies like Snowflake DBT Fivetran and tools like Jira Skilled in coding languages Java Python and cloud services AWS Airflow ECS EKS Knowledge of both SQL and NoSQL databases Knowledge of Data Mesh and Data Product concepts 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 Relevant certifications in data engineering analytics and AI are a plus 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 couple technology with an inclusive mindset to cross international boundaries and develop a leading ecosystem Our diverse teams work cross-functionally at scale bringing together the best minds from across the globe to uncover new solutions We think holistically about how to apply technology building partnerships inside and out We drive simplicity and efficiencies to make a real difference Here you ll find that learning runs through the entire team with a drive and curiosity to innovate every day Ready to make an impact Apply now to join our team Date Posted 26-Jun-2025 Closing Date 02-Jul-2025 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