Lead Data Engineer

Location: Leeds (hybrid)

Salary: Up to £70,000 (depending on experience) + bonus

Clearance Requirement: Candidates must be eligible for UK Security Vetting.

We're looking for an experienced Lead Data Engineer to join a fast-growing digital technology team working on secure, high-impact projects. This role is ideal for someone passionate about data engineering, cloud- architecture, and delivering real-world solutions at scale.

You’ll lead the technical delivery of complex data engineering solutions for high-profile clients, working within a multidisciplinary team. You'll be empowered to bring modern engineering practices to life while mentoring others and continuously improving standards.

What You’ll Be Doing:

Leading end-to-end delivery of data engineering projects with accountability for quality and performance. Designing and building scalable, secure data pipelines using modern cloud and open-source tooling. Working closely with architects and analysts to translate business requirements into technical solutions. Driving engineering best practices, including code review standards and agile delivery. Contributing to technical strategy and mentoring other engineers.

What You’ll Need:

Strong experience in data engineering with expertise in such as Python, Scala, or Spark. Proficiency in designing and building data pipelines, working with both structured and unstructured data. Experience with cloud platforms (AWS, Azure, or GCP), using services for data workloads. Solid understanding of database technologies (e.g., Oracle, MySQL, MongoDB). Strong grasp of system architecture and data security principles. Experience with Agile methodologies and cross-functional delivery teams. Excellent communication skills and the ability to influence at both technical and senior stakeholder levels.

Desirable Skills:

Familiarity with data visualisation tools (e.g., Power BI, Tableau). Exposure to platforms such as Quantexa, Databricks, or Palantir. Experience building machine learning pipelines or working on data science applications. Knowledge of test automation and CI/CD for data workflows.

This is a unique opportunity to join a mission-driven team working on impactful technology, with flexibility, learning support, and a clear path for technical progression.