Data Engineering Lead

We`re looking for an experienced Data Engineering Lead to join our Data & Insight team and help shape the future of our data capabilities.

You`ll lead and develop a talented team of Data Engineers, providing technical direction and coaching while remaining hands-on with complex engineering challenges. You`ll play a key role in strategic transformation initiatives, including the continued evolution of our Databricks data platform
.

This is an exciting opportunity to:

• Lead and inspire a talented Data Engineering team.
• Shape our data strategy and influence key technology decisions.
• Modernise our data platform
  , including our Databricks environment.
• Stay hands-on and solve complex technical challenges.
• Make a real impact by delivering trusted, scalable data solutions that support business growth.

If you`re passionate about data, technology and people leadership
, this is your opportunity to help shape our data future and make a lasting impact.

• Provide technical leadership for scalable, reliable and secure data platforms and products.
• Lead, mentor and develop a team of Data Engineers, promoting collaboration and technical excellence.
• Ensure the stability, performance and continuous improvement of critical data platforms and pipelines.
• Lead the migration from our existing data warehouse to Databricks.
• Support major transformation programmes, including our SaaS migration and wider business integration initiatives.
• Design and maintain data pipelines, models and curated datasets for analytics, reporting and data science.
• Collaborate with BI, Data Science, Architecture, Technology and business teams to deliver trusted data solutions.
• Champion engineering best practices, including testing, deployment, monitoring, documentation and code reviews.
• Support Agile delivery, from prioritisation and sprint planning through to delivery.
• Identify opportunities to improve our data platforms, tooling and ways of working.

• Proven experience leading Data Engineering teams in complex enterprise environments.
• Strong hands-on experience building and operating modern, cloud-based data platforms.
• Strong SQL and Python skills, with extensive experience in Databricks, Spark and lakehouse architectures.
• Strong understanding of data engineering, modelling and architecture best practices.
• Experience delivering data solutions for reporting, analytics and data science.
• Excellent communication and stakeholder management skills.
• Ability to balance strategic leadership with hands-on technical delivery.
• Experience working in Agile environments.

• Experience delivering large-scale technology or business transformation programmes.
• Experience with data migration, system modernisation or enterprise platform change.
• Experience integrating data following acquisitions, mergers or major business change.
• Familiarity with Tableau and low-code integration platforms such as Snap Logic.

• A discretionary annual bonus so you can share in the company's success
• 25 days' paid holiday and an annual holiday buying scheme, with 5 additional days awarded for long service
• A generous pension scheme – employer contributions between 5% and 11% depending on how much you save
• Various benefits to support your health and wellbeing including a Healthcare Cash Plan, an Employee Assistance Programme, a Wellbeing platform and a Gym benefit that you can share with your family and friends
• Enhanced Family Leave including 18 weeks full pay for birthing parents and 4 weeks for non-birthing parents
• Lots of other great benefits including an annual Share Save scheme, Employee Life Assurance, a discounts portal and more!

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