The Role Join the Law Society''s Data and AI team at an exciting point in our data transformation journey, where we have just implemented our first Data Platform. As a Data Engineer, you will play a key role in designing and developing data products on the Law Society''s Azure Databricks-based data platform. You will ensure data is efficiently ingested, transformed, governed, and made available for analytics, reporting, and operational use. Drive improvements in performance, scalability, and data platform literacy to support the Law Society''s strategic priorities. What we''re looking for Extensive expertise with the Microsoft Azure data stack including Azure Databricks and Data Factory. Proficiency in designing and implementing data models, ETL/ELT pipelines, and modern data architecture patterns, using tools such as DBT (Data Build Tool). Relevant experience with Power BI or similar tools such as Tableau or Qlik for data visualisation and reporting. Strong programming skills in Python / PySpark / SQL. Proven commitment and compliance to good engineering/DevOps practices, including reusable code, CI/CD pipelines, and automated testing. Proven ability to work collaboratively within cross-functional teams, managing timelines, and coordinating with stakeholders What''s in it for you This is an excellent opportunity to work with contemporary thinkers in a progressive membership organisation. The successful candidate will join a strong brand with a ..... full job details .....