Lead a team of Analytics Engineers to build curated, context-rich data models in Databricks, optimized for reporting and insight generation
Job Summary
Lead a team of Analytics Engineers to build curated, context-rich data models in Databricks, optimized for reporting and insight generation.
Collaborate with Data Product Owners and Team Leads to translate business priorities into a clear, actionable roadmap for data delivery.
We offer lots of great benefits! Some of which include: Competitive salary and annual discretionary bonus, 25 days annual leave plus bank/public holidays, as well as an annual option to buy up to 5 additional days of annual leave.
Matching Summary
Lead a team of Analytics Engineers to build curated, context-rich data models in Databricks, optimized for reporting and insight generation.
Salary
Competitive salary; Bonus: annual discretionary bonus; Benefits: health cash plan, pension, life assurance, and more
Skills & Requirements
Must-have
data modelling structures
SQL or Python or PySpark
cloud data lake/warehousing
Databricks experience
translate source data to models
engineering best practices
Nice-to-have
attention to detail
pride in work
highest standard
curiosity
technical excellence
eco & social volunteer
Key Requirements
Extensive experience with data modelling structures
Strong experience in SQL, Python, or PySpark
Understanding of cloud-based data lake/warehousing technologies
Experience translating source data into analytically-optimised data models
Ability to understand business priorities and prioritise accordingly
Ability to solve multiple problems with a single solution
Ability to break a project down into smaller incremental deliverables
Good communication skills
Understanding of data modelling methods
Ability to prototype and drive forward new technical initiatives