Senior Data Engineer

• Job Description / Capsule

  The Data Engineer & Business Intelligence Specialist is responsible for designing, developing, and implementing new data technologies and reporting solutions that enable business insights and drive scalable data sharing practices.

  Typical Accountabilities

• Create and maintain optimal data pipeline architecture.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our analytics product into an innovative industry leader.
• Assembling large, complex sets of data that meet non-functional and functional business requirements.
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
• Work with data architectures such as the Medallion Architecture, organizing data across bronze, silver, and gold layers to ensure scalability, data quality, and optimal data transformations throughout the pipeline.
• Develop and maintain conceptual, logical, and physical data models to ensure alignment with business requirements and technical designs. Ensure these models facilitate efficient data storage, transformation, and querying processes while maintaining scalability and performance
• Provide data and analytics solutions either through enterprise services or direct to AstraZeneca functions.
• Deliver robust, cost-effective, automated solutions to support frequently asked business questions/analytical demands.
• Responsible for the implementation of engineering standards, roadmaps and blueprints that maximises current technology platforms and adapts to new data technology, working closely with Data Architects and Solution Architects.
• Collaborate with analyst, engineers, and data scientist to deliver high quality data architecture and pipelines.
• Test and quality assess new data and analytics and DataOps solutions, to ensure they are fit for release: code assurance, Unit and System Integration Testing performance tuning, data testing, release management control and support of production processes including their SLAs.
• Innovate and test new technologies with relevance to data and analytics, including proof of technology/value assessments and business case development.
• Responsible for data and analytics solution evaluation activities and project estimates which contribute to the creation of business case and delivery plans.
• Contribute to the continued development of Data Engineering as a capability - training, tooling, ways of working, and operating model to optimise output and value.
• Ensure that business data and information assets are made available as data services and artefacts for consumption by the wider AstraZeneca enterprise to ensure consistency and strategic alignment of all data and business intelligence solutions.
• Selection and implementation of data management technologies and industry best practices, in alignment with the Enterprise Architecture and Technology Innovation functions.
• Maintain an on-going professional development in data and analytics technologies (and methodologies) to keep AstraZeneca current with advancing and changing data technology landscape and innovation.
• Design, develop, and maintain Power BI dashboards and reports, ensuring they are based on detailed technical designs. Automate reporting processes, making them scalable, user-friendly, and delivering accurate, actionable insights for business decision-making.
• Collaborate with stakeholders to translate business requirements into detailed technical designs for reporting solutions, continuously optimizing Power BI performance and adhering to BI best practices for ongoing improvement.
• Ensure adherence to data governance frameworks, establishing and enforcing policies that guarantee data accuracy, consistency, security, and compliance across all systems. This includes overseeing data quality management practices and collaborating with stakeholders to maintain high standards of data integrity.

Typical People Management Responsibility (direct/indirect reports)

• 0 The approximate number of people managed in total (all levels)
• Matrix Manager – (projects/dotted line)
• Manager of a team
• Grandfather (manager of a manager)

What is the global remit?

(how many countries will the role operate in?)

Operates in:

• Own country X
• Another country
• 2 or 3 countries at a minimum of 40% of the time
• 4 or more countries at a minimum of 40% of time
• Remit