Databricks Data Engineer

• Design, build and deploy scalable data pipelines using Databricks.
• Deliver solutions across the full engineering lifecycle, from gathering requirements to deployment and optimisation.
• Work closely with business and technical stakeholders to understand requirements and define solution designs.
• Build and maintain robust data models supporting reporting, analytics, machine learning and AI use cases.
• Optimise data platform performance, scalability and reliability.
• Implement data governance and data quality best practices.
• Produce technical documentation and contribute to engineering standards and best practices.

• Commercial experience within Data Engineering and cloud-based data platforms.
• Strong hands-on experience with the Databricks Lakehouse Platform.
• Solid understanding of Delta Lake, Medallion Architecture and modern data engineering principles.
• Experience designing and delivering enterprise-scale data solutions.
• Strong Python development skills.
• Experience working with Azure, AWS or GCP environments.
• Strong stakeholder management, communication and consulting skills., * Data Lakehouse

• Salary of up to £60,000
• Opportunity to work on large-scale Data & AI transformation programmes.
• Hybrid working model with a flexible approach to office and remote working.
• Excellent career progression and professional development opportunities.
• Access to industry-leading training and certification programmes.

This is an opportunity to join a leading Data & AI consulting practice at the forefront of cloud, analytics and artificial intelligence transformation. Working with some of the UK’s largest and most recognised organisations, you will help design and deliver enterprise-scale data platforms to enabling advanced analytics, machine learning and AI-driven decision making.

You will join a growing team of highly skilled engineers building modern data solutions using the Databricks platform and the latest cloud technologies. As a Databricks Data Engineer, you will play a key role in developing scalable, high-performance data products and AI-ready data foundations.

This role offers exposure to large-scale transformation programmes, cutting-edge technologies and a collaborative environment that encourages continuous learning, innovation and career progression.