This is a great opportunity to join a growing data team as they scale out a modern cloud-based platform. You'll gain hands-on experience with Databricks and work closely with experienced engineers in a highly collaborative environment, making it an ideal role for someone early in their career looking to develop quickly.
THE COMPANY
Our client is a well-established professional services organisation with a strong UK presence, currently investing heavily in its data and AI capabilities. They are undergoing a transformation from on-premise systems to a modern Azure Databricks Lakehouse, with strong internal backing and a clear roadmap for growth. This role sits within a scaling team and offers excellent long-term development opportunities.
THE ROLE
Build and maintain data pipelines within a modern Databricks environment
Contribute to CI/CD processes and engineering best practices
Deploy and manage data solutions across the development lifecycle
Work across multiple squads on varied engineering problems
Collaborate with data, platform, and ML engineers on new capabilities
Opportunity to gain exposure to data modelling and machine learning projects
YOUR SKILLS AND EXPERIENCE:
Experience with Python and PySpark (commercial, academic, or project-based)
Exposure to Databricks or similar data platforms
Strong desire to learn and develop within a collaborative team
Understanding of data engineering fundamentals
Exposure to cloud platforms (e.g. AWS/Azure) is beneficial
Knowledge of DevOps practices or CI/CD is advantageous
Any experience with data modelling is a plus
SALARY AND BENEFITS
£45,000 base salary (12 Month FTC)
Pension scheme
Flexible, remote-first working
Strong work-life balance culture
Excellent progression opportunities
HOW TO APPLY
Please register your interest by sending your CV to Harry Lack through the 'Apply' link