Data Engineer


Premium Job From Lloyds Banking Group

Recruiter

Lloyds Banking Group

Listed on

16th August 2022

Location

Leeds

Salary/Rate

£35656 - £46799

Type

Permanent

This job has now expired please search on the home page to find live IT Jobs.

Leeds based role (please only apply if able to work in this location at least 2 days each month). Salary & Benefits: £ 35,656 - £46,799 base salary, plus annual personal bonus, up to 15% employer pension contribution, 4% flexible cash pot, private medical insurance, 28 days holiday plus bank holidays. We also offer flexible working hours, agile working practices and regular home working. About us Lloyds Banking Group is the UK's largest Digital, Retail and Commercial Bank with a focus on Helping Britain Prosper. We're on the mission to build the bank of the future, and we need your help do it. Continuing our extensive transformation programme, we're redefining what a bank is from the inside out. Our technology, our culture, and our mind-set is changing to craft a true engineering-led organisation. Our Mission We're on a mission to build the bank of the future, and we need your help to do it. We're creating exciting opportunities in the General Insurance (GI) Platform to improve customer experiences for years to come. We want driven, dynamic and innovative individuals to join us on this journey. Working alongside teams in the operations, claims and customer contact centre, our brand-new data platform will power a new set of innovative Customer outcomes. We're looking for someone who is passionate, inspiring and customer-focused, ensuring that the team are always focused on the priorities that will deliver the best outcomes for customers and colleagues. About the role: Exciting opportunities have arisen to join the new GI, within the Insurance, Pensions & Investments Business Unit. You'll be joining as a Data Engineer, right at the beginning of our journey and working alongside a cross-functional team, collaborating closely with the business, product owners and other engineering teams. You'll develop high quality, reusable streaming and batch data pipelines at scale, to ingest and curate data into re-useable data products. You'll also work with our technology partners to ensure that what you build is sustainable and easily supported. You'll need to show a real passion for developing new solutions and translating data into business insights - role-modelling Data Engineering as it should be in the new digital age. Essential skills & experience: We want to grow our team of data engineers who build pipelines in distributed environments. So, we'd be looking for you to have experience in some of the following areas: Knowledge of enterprise data modelling techniques such as de-normalised views, star schemas, OLAP cubes etc. Knowledge and experience in the following technical skills: Core Java version 11, advanced SQL and python. Working knowledge on any public cloud, preferably Google Cloud Platform (including components such as GCS buckets, BigQuery, PubSub, Dataflow or equivalents). Experience in DevOps including Containerisation, Kubernetes, Helm or any other packaging tool, and Jenkins. Desirable skills & experience Experience in Agile Methodology. Knowledge and understanding of Insurance policy/claims data will be very helpful. So why should you apply? You'll become part of a team that has an inclusive, values-led culture. This means we embrace that not everyone is the same or likes to work in the same way. We're focused on delivering for both our customers and our colleagues; you'll receive support to learn, grow and develop, benefitting from a huge range of opportunities opened by being part of our Group. We're committed to building a diverse workforce that represents the customers and communities we serve. We believe that creating equal opportunities means allowing colleagues to bring their whole selves to work - so we're dedicated to creating a culture where everyone can. Add to this our comprehensive range of benefits; including our flexible package that allows you to choose what you want. Together we make it possible….

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