Sr. Data Analytics Engineer

Knowledge of cloud-based data management services

Advanced SQL skills for data analysis and manipulation

Experience in designing data architectures, building scalable analytics solutions, and managing data solutions in BAU scenarios

Coaching and mentoring skills to guide and develop junior team members

Excellent communication and facilitation skills, including fluency in English As a Senior Data Analytics Engineer at AstraZeneca, you will be part of a dynamic and challenging environment that directly impacts patients' lives. Your role will involve transforming the development of life-changing medicines and leading a new way of working by combining cutting-edge science with digital technology platforms and data. Join AstraZeneca at this crucial stage of becoming a digital and data-led enterprise to make the impossible possible and drive cross-company change in the pharmaceutical industry. As a Senior Data Analytics Engineer at AstraZeneca, you will be a crucial part of the Data, Analytics & AI group's transformational journey on Data & AI in Operations. Your primary responsibility will be to advance the Operation Data Hub (ODH) to a Data Mesh architecture. The ODH aims to provide all Operations units access to critical data and analytic tools, accelerating their work on life-saving medicines. Your role will involve creating a distributed data architecture to manage data and data products effectively. Key Responsibilities:

Provide technical leadership in software development life cycle from initial development to hypercare

Develop scalable solutions to support valuable data products and address a broad range of data use cases

Work with a team of data engineers to support solution development

Collaborate with Enterprise Data & AI teams to leverage central Enterprise Data Platforms for Data Cataloguing, Master Data Management, and Reference Data Management