Purpose of the Role The Data Engineering & Analytics lead is responsible for overseeing the organisation's data strategy, engineering function, and reporting capability. This role ensures the delivery of reliable, scalable, and cost-effective data solutions that support business decision-making and operational efficiency. Key Responsibilities Data & Reporting Management - Manage and oversee all core business reporting across the organisation - Maintain, enhance, and take ownership of existing reporting solutions - Continuously optimise and improve reporting performance, usability, and accuracy - Drive standardisation of reporting metrics and definitions across the business Data Engineering & Pipelines - Design, build, and maintain robust data pipelines across both on-premise and cloud environments - Ensure efficient data ingestion, transformation, and delivery across multiple data sources - Implement best practices for scalability, performance, and reliability of data pipelines Team Leadership & Coordination - Coordinate and guide the data engineering function with support from the CIO - Provide technical direction, mentorship, and oversight to the data team - Align data initiatives with business and executive objectives Data Architecture & Strategy - Define and maintain the organisation's data architecture (e.g., lakehouse, warehouse, hybrid models) - Ensure alignment between data engineering, reporting, and business needs - Drive innovation by identifying and implementing modern data solutions Cloud & Cost Management - Manage cloud data platforms, storage, and compute resources - Monitor and optimise capacity usage (e.g., compute units, storage costs) - Implement cost-efficient data processing and storage strategies Data Governance & Quality - Establish and enforce data governance frameworks, standards, and policies - Ensure data quality, consistency, and security across all systems - Implement monitoring and validation processes to maintain data integrity Database Administration Support - Assist with database administration tasks, including performance tuning, backups, and maintenance - Support the stability and reliability of on-premise and cloud database environments Key Skills & Experience - Strong experience in data engineering, BI, and data warehousing - Advanced SQL and experience with modern data platforms (e.g., Microsoft Fabric, Azure, SQL Server) - Experience building and managing ETL/ELT pipelines - Understanding of data architecture principles and best practices - Experience with cloud cost management and optimisation - Strong leadership, communication, and stakeholder management skills