Harnham
Lead Data Engineer
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Lead Data Engineer
London | 4 Days Per Week in Office
Up to £95,000 + Benefits
This is an outstanding opportunity for a Lead Data Engineer to take ownership of a growing data engineering function within an innovative AI-driven software business. You'll combine hands-on technical leadership with team management, helping shape engineering standards, processes, and architecture while working on data and AI solutions that have a direct commercial impact.
The Company
They are a fast-growing technology business focused on helping organisations unlock greater value from their data through advanced analytics and AI-powered products. Their platform supports complex data transformation and decision-making use cases across a range of industries. With ambitious growth plans and continued investment in AI, they offer an environment where engineering has a genuine influence on product direction and business success. This is an opportunity to join at a key stage of their growth journey and help build scalable foundations for the future.
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The Role
- Lead and develop the Data Engineering function, defining best practices, standards, and delivery processes.
- Manage, mentor, and support a team of Data Engineers, fostering technical excellence and continuous improvement.
- Design and build scalable ETL and ELT pipelines across operational, analytical, and AI-driven workloads.
- Take ownership of complex data engineering projects, remaining hands-on with critical development work.
- Define and enhance data models that support analytics, machine learning, and customer insight initiatives.
- Drive CI/CD adoption, deployment governance, and engineering automation.
- Collaborate closely with Product, Data Science, and wider technology teams to deliver high-quality solutions.
- Introduce and optimise AI-powered engineering workflows to improve productivity, quality, and efficiency.
- Implement monitoring, governance, and data quality frameworks to ensure reliable delivery.
Your Skills & Experience
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- Strong commercial experience in Data Engineering within cloud-based environments.
- Experience leading, mentoring, and developing Data Engineering teams.
- Advanced SQL and Python expertise for data transformation, orchestration, and pipeline development.
- Strong understanding of data modelling, including dimensional and analytical data structures.
- Experience designing and maintaining scalable data architectures.
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Experience with Git-based development and CI/CD practices.
- Ability to work effectively with cross-functional teams across engineering, product, and data functions.
- Strong communication skills and a focus on engineering quality, governance, and best practice.
What They Offer
- Salary up to £95,000.
- Hybrid working model with 4 days per week in the London office.
- Opportunity to build and shape a growing Data Engineering function.
- Exposure to cutting-edge AI and data initiatives.
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