Engineering Lead (Data, Analytics & AI)

Lloyds; West of England; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Holiday allowance

Flexible working

Family leave

Health insurance

Share plans

Pension

Job summary

Lloyds is seeking an Engineering Lead to shape our data and AI ecosystem, combining deep technical expertise with strategic thinking. You will lead engineering teams, influence architecture decisions and drive adoption of modern data, analytics and AI practices across the organisation.

Define and execute the engineering roadmap with stakeholders from Product, Architecture and Data Science. Mentor teams, deliver scalable platforms, and champion Responsible AI, security and governance while

Qualifications

• Hands-on experience with data engineering and software engineering practices.
• Experience designing data structures for reporting, analytics and ML use cases.
• Strong understanding of data platforms and cloud architectures.
• Familiarity with MLOps, model lifecycle management and AI governance.

Responsibilities

• Lead engineering teams and shape architecture decisions across data, analytics and AI platforms.
• Define and execute the engineering roadmap with Product, Architecture, Data Science and business stakeholders.
• Drive adoption of modern data, analytics and AI engineering practices across the organisation.
• Champion security, privacy, Responsible AI and governance by design.
• Mentor, coach and develop engineers, fostering innovation and excellence.
• Identify opportunities to improve efficiency, reliability and developer productivity through platform engineering.

Skills

Python

SQL

Data engineering

MLOps

AI governance

Tools

Spark

Kafka

Flink

Beam

Job description

• As an Engineering Lead, you’ll combine deep technical expertise with strategic thinking to shape the future of our data and AI ecosystem.
• You’ll lead engineering teams, influence architecture decisions, and drive the adoption of modern data, analytics and AI engineering practices across the organisation
• We’re looking for a passionate engineering leader who thrives on solving complex challenges, developing people, and delivering scalable platforms and products that create measurable business value
• Define and execute the engineering roadmap in partnership with Product, Architecture, Data Science and business stakeholders
• Drive technical strategy and engineering excellence across data, analytics and AI solutions
• Enable customer intelligence, personalisation, decisioning and conversational AI use cases through modern data products and data platforms
• Design and implement reusable data products, semantic models and analytics capabilities that support reporting, machine learning and GenAI workloads
• Drive adoption of AI Engineering, MLOps and LLMOps best practices across development, deployment, monitoring and governance
• Champion security, resilience, privacy, Responsible AI and governance by design
• Identify opportunities to improve efficiency, reliability and developer productivity through automation and platform engineering
• Mentor, coach and develop engineering teams, fostering a culture of innovation, continuous learning and engineering excellence

Benefits

• A generous holiday allowance: You’ll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
• A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
• Family leave: Up to 63 weeks of maternity or adoption leave. Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay. Partners can have six weeks of fully paid paternity leave.
• Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
• Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
• Colleague Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping. You can share this benefit with up to ten family members or friends.
• Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
• Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
• Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our ‘Your Tomorrow’ scheme. You can decide how much you save and get a say in where your contributions are invested.

Hands-on experience with Python, SQL and modern software engineering practicesKnowledge of MLOps, model lifecycle management, observability and AI governance practicesSignificant experience designing, building and operating large-scale distributed systems, data platforms and cloud-native architecturesExperience designing data structures and models that support reporting, self-service analytics, machine learning and AI use casesExperience building large-scale batch and streaming data solutions using technologies such as Spark, Kafka, Flink, Beam or equivalentExcellent communication skills with the ability to influence technical and non-technical audiencesStrong understanding of analytical data modelling, dimensional modelling, semantic modelling and data product designExperience with cloud platforms such as GCP, Azure or AWS and associated platform servicesStrong understanding of containers, Kubernetes, CI/CD, infrastructure automation and DevSecOps practicesDeep knowledge of modern data architectures including data warehouses, data lakes and lakehouse platformsUnderstanding of modern GenAI architecture patterns including vector databases, retrieval-augmented generation (RAG), embeddings, agentic workflows and LLM orchestration frameworksWe know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.