Responsibilities
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’re focused on building innovative, data‑driven solutions that enhance customer experiences. As a Data Engineering Lead, you’ll bring deep technical expertise and a passion for engineering excellence. You’ll lead by example, championing best practices and exploring the possibilities offered by modern cloud technologies. If you have a background in data engineering and experience with coding or scripting, we’d love to hear from you.
What you’ll be doing
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. Lead engineering best practices. Drive technical strategy and direction for the engineering team. Deliver technical solutions that can be leveraged across multiple entities across the group. Drive a 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.
Qualifications
- 15+ years of industry experience in 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 in 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 understating of cloud storage, networking, and resource provisioning.
At Lloyds Banking Group, we’re driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you’ll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you’ll have many opportunities to learn, grow and develop.
We keep your data safe. So, we’ll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We’ll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.
We’re focused on creating a values‑led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Benefits
- 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
We also offer a wide‑ranging benefits package, which includes:…
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