Data Engineering Lead

About this opportunity

Join cross‑functional product engineering teams to play a key role in delivering high‑quality data capabilities. This opportunity sits within the Personalised Experiences and Communications Platform, where we are focused on building innovative, data‑driven solutions that enhance customer experiences.

As a Data Engineering Lead, you will bring deep technical expertise and a passion for engineering excellence. You will lead by example, champion best practices and explore the possibilities offered by modern cloud technologies.

We understand that no one is an expert in every aspect of data or software engineering. If you have a background in data engineering and experience with coding or scripting, we would love to hear from you.

• Lead end‑to‑end design, implementation and delivery of future architecture for highly scalable, resilient low‑latency systems
• Collaborate with the head of engineering, product managers, architects and other stakeholders to define and execute the data engineering team’s roadmap, scope and deliverables
• Drive technical strategy and direction for the engineering team
• Deliver technical solutions that can be leveraged across multiple entities across the group
• Drive the culture of delivering highly secured and high‑quality pipelines
• Identify and eliminate recurring issues by automating processes
• Have cross‑functional and cross‑product impact in the organisation
• Initiate, design and drive high‑impact ideas using the right design principles
• Mentor and coach engineering teams, developing their skills and career growth

• 15+ years of industry experience designing, building and supporting distributed systems and large‑scale data processing systems in production with a proven track record
• Minimum of 5 years’ experience mentoring and coaching engineering teams, with a strong track record of supporting skill development and career growth
• Proven experience and knowledge of automation and CI/CD
• Best practice coding/scripting experience developed in a commercial/industry setting (Python, SQL, Java, Scala or Go)
• Extensive experience working with operational data stores, data warehouse, large‑scale data technologies and data lakes
• Experience using distributed frameworks (Spark, Flink, Beam, Hadoop)
• Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS
• Strong experience working with Kafka technologies
• Clear understanding of data structures, algorithms, software design, design patterns and core programming concepts
• Good understanding of cloud storage, networking and resource provisioning

We are on an exciting journey and there couldn't be a better time to join us. The investments we are making in our people, data and technology are leading to innovative projects, fresh possibilities and countless new ways for our people to work, learn and thrive.

Our focus is to ensure we are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package and a dedicated Working with Cancer initiative.

And it is why we especially welcome applications from under‑represented groups. We are disability confident, so if you would like reasonable adjustments to be made to our recruitment processes, just let us know.

• A generous pension contribution of up to 15%
• An annual performance‑related bonus
• Share schemes including free shares
• Benefits you can adapt to your lifestyle, such as discounted shopping
• 30 days' holiday, with bank holidays on top
• A range of wellbeing initiatives and generous parental leave policies

Ready to apply? Interested in contributing to a data‑driven future? Join us.