Senior Data Engineer

Consumer Servicing & Engagement Platform Role

Salary: £70,929 - £78,810 per annum

Location: Bristol

Hours: Full-time

Working Pattern: Two days per week (or 40% of your time) at our Bristol office. On-call Required

Job Description:

You will join the Consumer Servicing & Engagement (CS&E) Platform, a team focused on delivering a unified digital servicing experience for personal customers on the device of their choice. We aim to provide the best digital customer experience by increasing engagement and enabling seamless self-service.

What you'll be doing:

• Work closely with business teams to identify and "prove" new use cases and the value of Machine Learning and AI embedding the data engineering concepts.
• Design, build, and maintain scalable, secure, and high-quality data products using clean, maintainable, and efficient solution designs aligned with standard methodologies.
• Work with other data & ML engineers and technical SMEs to identify, develop, and implement new solutions that deliver customer and business value.
• Promote high-quality data engineering practices alongside maintaining an effective control environment, sharing knowledge with others and offering technical leadership or support as needed.
• Keep up-to-date with emerging developments in data & AI, engineering, and ML ops fields, and proactively share findings with the team.

What you'll need:

• Extensive data engineering experience and implementing data management systems.
• Strong data literacy, with hands-on analytics and development skills.
• Solid knowledge of data governance, architecture, and lifecycle management.
• Ability to extract and effectively communicate key points from complex code bases to support production builds.
• Experience with internal libraries such as GCP shared utilities, and building robust pipeline components using Dataflow, DBT jobs.
• Proficiency in Kafka, GCP (GKE, Cloud tools), BigQuery, and cloud-native architectures.
• Familiarity with automation tools and observability frameworks.
• Clear understanding of data structures, algorithms, software design, design patterns, and core programming concepts in Python.
• Experience with DevOps practices and tools, including CI/CD pipelines and containerisation (Docker, Kubernetes).
• Sound understanding of and/or enthusiasm for retail banking and an appreciation of the opportunities that ML and gen AI provides with good understanding of LLM, AI concepts.

Why Lloyds Banking Group:

We're on an exciting journey and there couldn't be a better time to join us. The investments we're 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.

About working for us:

Our focus is to ensure we're 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're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know.

We also offer a wide-ranging benefits package, which includes: 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 start growing with purpose? Apply today.