Data Engineering Lead

Data Engineering Lead

Location: Nottingham (Hybrid - 1 day per week onsite)
Salary: Up to £90,000 + benefits
Type: Permanent

Overview:

A national leader within their relative field is looking for a hands‑on Data Engineering Lead to guide, mentor, and shape a high‑performing data engineering function within a modern cloud‑native environment. This is an opportunity to lead by example - balancing strategic direction with technical delivery - while working with an advanced Azure and Databricks ecosystem.

You'll play a key role in building scalable, reliable, and high‑value data solutions that support analytics, reporting, and data‑driven decision‑making across the organisation.



Key Responsibilities:

• Lead and mentor a team of data engineers, driving best practices and technical excellence.
• Remain hands-on in solution design, development, and optimisation using Databricks and Azure data services.
• Oversee the build and maintenance of data pipelines, ingestion frameworks, and transformation workflows.
• Collaborate with architecture, analytics, and product teams to deliver robust, scalable data solutions.
• Implement and enforce data governance, quality frameworks, and performance standards.
• Drive continuous improvement in data engineering processes, automation, and cloud optimisation.
• Contribute to the overall data strategy and roadmap, ensuring alignment with business objectives.

Tech Stack & Skills Required:

• Strong hands‑on experience with Databricks (Spark, Delta Lake, notebooks).
• Deep knowledge of Azure data services such as:
• Strong background in Python and/or Scala.
• Solid understanding of CI/CD practices for data engineering.

Leadership & Delivery

• Proven experience leading or mentoring data engineering teams.
• Ability to balance strategic direction with practical, hands‑on delivery.
• Strong stakeholder engagement and communication skills.
• Experience shaping engineering standards, frameworks, and reusable patterns.

What's on Offer

• Salary up to £90,000
• Hybrid working (1 day per week in Nottingham)
• Modern tech environment with autonomy and influence
• Opportunity to shape and scale a data engineering practice
• Discretionary bonus
• And more.