Data Engineering & Analytics Lead

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.

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

- 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