Lead Data Engineer
Lead Data Engineer owning Radius's data platforms: designing and scaling pipelines and data models, mentoring a growing team, and driving architecture, governance and AI/ML-ready platform decisions. Hands-on with modern cloud data tools such as AWS Redshift, dbt and Databricks, based in the Crewe office.
- Compensation
- Not disclosed
- Location
- Crewe, United Kingdom
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Senior or Lead Data Engineer experience in complex environments
- Hands-on expertise with modern data engineering tools across cloud platforms
- Deep understanding of ETL/ELT, data architecture, and data quality frameworks
- Strong stakeholder engagement skills and ability to shape solutions from ambiguity
- Curiosity and passion for turning data into meaningful business value
- AWS Redshift
- dbt
- Databricks
Full description
Overview
Lead Data Engineer at Radius owned data platforms, shaping how data informs decisions across the global business. You will design and scale data platforms, mentor a growing team, and influence data strategy and governance. The role sits at the heart of Group Data Services & Reporting, driving architecture decisions and cross-functional collaboration. You’ll build AI/ML-ready pipelines and champion data quality, governance, and security to deliver measurable business value. Seize a role that combines hands-on technical leadership with strategic impact.
Pay / Benefits
- Performance-based bonus
- Pension
- Life assurance
- Cycle to work scheme
- Free gym in the office
- Free breakfast daily in the office
Responsibilities
- Design and deliver complex data pipelines and data models at scale
- Guide technical direction across data engineering projects
- Collaborate with stakeholders to translate business needs into data solutions
- Drive development of the data platform, including AI/ML-ready architecture
- Establish best practices across data governance, quality, and security
Key requirements
- Senior or Lead Data Engineer in complex environments
- Hands-on expertise with modern data engineering tools across cloud platforms
- Deep understanding of ETL/ELT, data architecture, and data quality frameworks
- Strong stakeholder engagement skills and ability to shape solutions from ambiguity
- Curiosity and passion for turning data into meaningful business value
- Stakeholder engagement
- Curiosity
- Ambition for turning data into business value
- AWS Redshift
- dbt
- Databricks