Data Engineering & Analytics Lead
Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 28, 2026. Job Mail scores C on the Alion truth index.
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