Data Engineer
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Position Overview & Specifications
Agile Working Options Flexible / Variable Hours, Other Agile Working Arrangements / Open to Discussion Job Description Summary . Job Description Data Engineer Lloyds Banking Group Halifax (hybrid working pattern, 2 days per week in office & rest from home) Salary & Benefits: £41-53k depending on experience. Who are Lloyds Banking Group and where does this role sit? Lloyds Banking Group (LBG) is the UK’s biggest Retail, Digital and Mobile bank with over 30 million customers. Our products touch the lives of millions, so we have a huge responsibility to help Britain Prosper. With data at the heart of our group strategy, now is the perfect time to join our Chief Data & Analytics Office (CDAO) and be part of our exciting transformation into a cloud-enabled, data-driven organisation! CDAO brings together Data Engineering, Data Science, Business Intelligence (BI) and Data Management. Helping to build data solutions across all areas of the business such as; customer segmentation, pricing, customer experience, credit decisioning, commercial performance and fraud detection. With your skills spanning across data mining/analysis/modelling and a variety of modern and traditional data platforms, (e.g. Teradata, Hadoop, Kafka, GCP, Azure, SQL server) you’ll get to work on a vast range of high-profile cloud leveraging projects. As a Data Engineer You will belong to a multi-functional team, working alongside the business, product owners, data scientists, machine learning engineers and Business Intelligence specialists to solve some of the Bank's toughest business problems. Developing high quality, reusable data pipelines at scale, ingesting structured and unstructured data into our data lake, and feature engineering for machine learning or curating data for consumption through analytics and BI. Working in a variety of server and cloud environments, using innovative toolsets, as well as evaluating exciting new technologies to expand our capabilities. About you You're passionate about both data/analytics with a talent for solving problems through data. You're a good communicator and you’re comfortable working with ambiguity. You’ll have the creativity we actively encourage to innovate and help build a truly best-in-class data and analytics function. What we’re looking for
- Computer science fundamentals: an understanding of data structures, algorithms, software design, design patterns and core programming concepts.
- Experience working with data either academically, personally, or professionally, and understand the value it can bring.
- Some exposure to data or cloud platforms for eg. SQL, HADOOP, PYTHON, or similar technologies
- Any past coding/scripting experience in at least one of the following scripting languages e.g. Python, Java, SQL, VBA
- Experience or willingness working in an Agile environment
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Banking & Lending
Based on transatlantic hiring benchmarks for Data Engineer roles across Lloyds Banking Group's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Banking & Lending.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £32,680 - £40,850 bracket, including retirement vesting and health parity.
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