Data Engineer

Lloyds Bank plc
Bristol
1 day ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

End DateSunday 04 January 2026Salary Range£70,929 - £78,810Flexible Working OptionsHybrid Working, Job ShareJob Description Summary.Job Description****JOB TITLE: Senior Data Engineer – GCPSALARY:£70,929 - £86,691per annumLOCATION:BristolHOURS: Full-timeWORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our BristolofficeAbout this opportunityThis is an excellent opportunity for a Senior Data Engineer join our Client Data and Analytics team! You'll play a pivotal role in crafting and implementing data solutions on Google Cloud Platform (GCP) collaborating with multi-functional teams to ensure seamless integration of data products into our new data architecture, driving innovation and optimising data utilisation.In this role, you’ll help shape and run key parts of our data and knowledge management systems, working alongside experienced colleagues. You’ll spot opportunities to improve IT security processes and suggest practical changes that make a difference.You’ll deliver tailored products and services that meet customer needs, lead small to medium-sized projects, and evaluate complex solutions to find the best fit for the business. You’ll also manage a specific area of work, guiding others to achieve shared goals.Collaboration is key—you’ll coordinate across teams to build work schedules that support our long-term plans. You’ll analyse data from various sources to identify trends and their impact, and you’ll support others’ development while investing in your own growth.As part of our change programme, you’ll identify areas for improvement, lead workstreams, and recommend updates to policies and practices that enhance how we operate.Why Lloyds Banking GroupWe’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.What you’ll need* Data Engineering – Data Ingestion and Processing, Data Storage, Data Analysis and Data Pipelines* Teradata skills* DevOps – CI/CD use* Software Engineering – Python & Java/C* Use of AI – Pair Programming/Testing* Quality Engineering and testing* Data Warehousing (ideally Cloud-based)Nice to have Skills* Data Optimisation* Architecture* Data Modelling & Design* Micro Services architectureAbout working for usOur ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we’re committed to creating an environment in which everyone can thrive, learn and develop.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.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.We also offer a wide-ranging benefits package, which includes:* A generous pension contribution of up to 15%* An annual bonus award, subject to Group performance* 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**Join our journey.****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.**With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers.Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
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How to Write a Data Engineering Job Ad That Attracts the Right People

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Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.

Neurodiversity in Data Engineering Careers: Turning Different Thinking into a Superpower

Every modern organisation runs on data – but without good data engineering, even the best dashboards & machine learning models are built on sand. Data engineers design the pipelines, platforms & tools that make data accurate, accessible & reliable. Those pipelines need people who can think in systems, spot patterns in messy logs, notice what others overlook & design elegant solutions to complex problems. That is exactly why data engineering can be such a strong fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a data engineering career, you might have heard comments like “you’re too disorganised for engineering”, “too literal for stakeholder work” or “too distracted for complex systems”. In reality, the traits that can make traditional office environments hard often line up beautifully with data engineering work. This guide is written for data engineering job seekers in the UK. We’ll cover: What neurodiversity means in a data engineering context How ADHD, autism & dyslexia strengths map to common data engineering tasks Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data engineering – & how to turn “different thinking” into a genuine professional superpower.