Senior Databricks Data Engineer

About [Employer hidden — sign up to reveal]

[Employer hidden — sign up to reveal] is a dynamic and innovative team, we harness the power of artificial intelligence and cloud computing to drive real-world impact. We work at the forefront of Analytics and AI technology, leveraging leading cloud platforms to build scalable, intelligent solutions. We provide Insight through Strategy, Solutions, Services & Support (Sx4). Our industry experience help derive competitive advantage for our clients, taking them on the journey from Hindsight, through Insight to Foresight.

We create, deliver and manage Analytics and AI solutions across all sectors including finance, government, life sciences, private sector and sport. Our services are increasingly in demand as Analytics and AI services become a core competency in every area of the business. [Employer hidden — sign up to reveal] are formal certified partners with SAS, Microsoft, AWS, GCP, IBM and Databricks and have customers & staff located globally. These strategic partnerships allow us to remain vendor-neutral and focused on our core competency area of analytics services delivery. [Employer hidden — sign up to reveal] have an ambitious hiring plan for the next few years with new hires at all levels to support the strategic growth of the firm.

The Role

We are seeking a Senior Databricks Data Engineer to lead delivery of data engineering workstreams within large-scale data platform and migration programmes.

This role combines hands-on technical expertise with consulting leadership, ensuring the successful design, delivery and operation of modern data platforms while working closely with client stakeholders.

You will play a key role in shaping architecture decisions, mentoring engineers and driving delivery across complex engagements.

What You'll Do

• Lead design and implementation of enterprise-scale data pipelines and lakehouse architectures
• Provide technical leadership across Databricks, Spark and cloud data platforms
• Drive delivery of data engineering workstreams within Agile programmes
• Engage with client stakeholders to translate business objectives into technical solutions
• Mentor engineers and establish engineering best practices
• Lead architecture and design discussions with architects and platform teams
• Oversee performance optimisation and platform reliability
• Support data migration strategy and execution
• Ensure governance, security and compliance standards are met
• Produce architecture documentation, design artefacts and delivery roadmaps

Must-Have Requirements

• 7+ years experience in data engineering or data platform development
• Strong experience with Databricks, Spark and distributed data processing
• Experience with Unity Catalog, Delta Lake and streaming architectures
• Advanced Python and Microsoft SQL Server development
• Experience designing enterprise data architectures
• Proven experience leading engineering teams or workstreams
• Strong stakeholder engagement and consulting skills
• Working knowledge of Hadoop
• Experience with test-driven development and CI/CD
• REST APIs and Kafka experience

Nice to Have

• Experience leading data platform migrations
• Cloud architecture expertise (AWS preferred)
• Experience managing delivery in large transformation programmes
• Experience delivering projects in regulated environments

How to Apply

Interested in this role? Send your CV to [Employer hidden — sign up to reveal]

A Few Words About [Employer hidden — sign up to reveal]...

At [Employer hidden — sign up to reveal] we are passionate about delivering an AI & Analytics advantage for our customers, be it through understanding your business better, your customers to a deeper level or providing a service to help make your existing operating model run more effectively. We will do this using best practice processes and in a spirit of openness and professional integrity which is part of our core values.