Senior Data Analytics & AI Engineer

Job Title: Senior Data Analytics & AI Engineer GCL: D2 Accountabilities: Lead the design, development, and deployment of high-performance, scalable data warehouses and data pipelines. Collaborate closely with multi-functional teams to understand business requirements and translate them into technical solutions. Oversee and optimize the use of Snowflake for data storage and analytics. Develop and maintain SQL-based ETL processes. Implement data workflows and orchestrations using Airflow. Apply DBT for data transformation and modeling tasks. Mentor and guide junior data engineers, fostering a culture of learning and innovation within the team. Conduct performance tuning and optimization for both ongoing and new data projects. Confirmed ability to handle large, complex data sets and develop data-centric solutions. Strong problem-solving skills and a keen analytical mentality. Excellent communication and leadership skills, with the ability to work effectively in a team-oriented environment. 8-12 years of experience in data engineering roles, focusing on data warehousing, data integration, and data product development. Essential Skills/Experience: Snowflake SQL Airflow DBT Desirable Skills/Experience: Snaplogic Python Academic Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or related field. At AstraZeneca, our work directly impacts patients by transforming our ability to develop life-changing medicines. We empower our teams to perform at their peak by combining cutting-edge science with leading digital technology platforms. Here, youll have the opportunity to innovate, take ownership, and explore new solutions in a dynamic environment. With a commitment to disrupting the industry, we provide the backing and investment needed to succeed. Join us as we drive cross-company change and shape the technologies of the future. Ready to make a difference? Apply now and be part of our journey! Date Posted 03-Jun-2025 Closing Date 02-Jul-2025