Future Interest: Analytics Engineer
Kaluza
Overview
In this Analytics Engineer role, you design and implement a scalable, global reporting foundation built for multiple clients. You bridge abstract data architecture with production-ready SQL to power business intelligence. You will own high-performance dimensional modeling and ensure data integrity across a multi-region environment. You join a cross-functional Analytics Engineering team to enable fast, reliable analytics at scale.
Pay / Benefits- Pension Scheme
- Discretionary Bonus Scheme
- Private Medical Insurance + Virtual GP
- Life Assurance
- 26 days holiday
- Flexible bank holidays
- Lead the transition to a multi-tenant dimensional model that scales for global clients
- Develop and optimize high-quality SQL scripts to transform raw data into clean tables
- Design data structures that support high volume, cross-region delivery
- Translate complex business requirements into technical specifications and elegant data models
- Test and optimize SQL queries and transformations to ensure reliability and fast end-user queries
- Advanced SQL mastery (writing, tuning, debugging, window functions, CTEs)
- Stakeholder management and ability to communicate technical concepts to non-technical audiences
- Engineering mindset with focus on clean, modular, reusable code
- Clear communication with non-technical stakeholders
- Cross-functional collaboration
- Problem-solving and attention to detail
- SQL optimization and query performance
- Data modelling (Star Schema, Kimball)
- Databricks
Reference: WJ-747_30140615