Lead Analytics Engineer- Databricks, Data Modeler- Hybrid role

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Quick Summary

Overview

Lead Analytics Engineer – Databricks / Data Modeler – London (Hybrid Role) Location: London – 3 days in the office per week and 2 days working from home Salary: £80K–£85K base + benefits Our client is a global company.

Requirements Summary

MSc in Data Science or equivalent Relevant Azure certifications such as AZ-900, DP-900, DP-203, or DP-500 Relevant Databricks certifications, such as Lakehouse Data Engineer Associate or Lakehouse Data Engineer Professional

Technical Tools

azurepandaspythonsqlagileci-cdetl

Responsibilities

~1 min read

→Lead data pipeline and semantic model development, orchestration, and maintenance
→Create robust, fit-for-purpose data modelling solutions to address multiple business use cases
→Perform root cause analysis and proactive investigation to identify potential issues, optimize ETL pipelines, notify end users, and propose appropriate solutions
→Prepare documentation for future reference

Experience using Databricks
Strong SQL and Python skills, including the use of Python concepts in Databricks notebooks for data loading, transformation, and exploration (including familiarity with Pandas)
Strong understanding of core Databricks and Spark concepts such as Delta Live Tables, Delta Sharing, Medallion Architecture, DataFrames, workflows, Unity Catalog, and UDFs
Understanding of Databricks metric views, Genie, etc.
Solid understanding of key principles of data warehouse design, including star schema, fact and dimension design, dimension and fact loading patterns, and SCD and CDC concepts
Experience using MS DevOps for Scrum management, repositories, and CI/CD pipelines between Azure and DevOps
Experience using AI development tools such as Cursor

Nice to Have

~1 min read

MSc in Data Science or equivalent
Relevant Azure certifications such as AZ-900, DP-900, DP-203, or DP-500
Relevant Databricks certifications, such as Lakehouse Data Engineer Associate or Lakehouse Data Engineer Professional