Job Description

Join the Risk Technology team to design, develop, and support enterprise data solutions using Databricks, delivering scalable, high-quality data platforms and analytics capabilities.

Design and build data pipelines using Databricks, PySpark, and SQL.
Develop and maintain data models, ETL processes, and reporting datasets.
Optimise data quality, performance, and scalability across the platform.
Collaborate with business users, analysts, and developers to deliver data-driven solutions.
Support cloud-based data architecture, CI/CD, and data governance initiatives.
Mentor junior engineers and promote engineering best practices.
Strong experience with Databricks and PySpark.
Advanced SQL and data warehousing expertise.
Experience with Azure Data Lake, Azure Data Factory, or similar cloud data technologies.
Knowledge of data modelling, ETL/ELT, and performance optimisation.
Experience working in