Data Engineering in Data and Machine Learning Full Time

Bristol, Gloucestershire
Lloyds Banking Group

As the UK’s largest Digital, Retail and Commercial bank we realise that our data is a significant business differentiator and plays a pivotal role in achieving our sustainable growth ambitions.

We’re looking to further adopt sophisticated approaches to how we utilise data to interact with and service our customers backed with a £3bn investment programme.

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 Data and Machine Learning to modernise our data platforms and tooling using data to deliver against our purpose in an ethical way.

Location: Bristol or London 2-3days a week

The base salary banding for this role is £52,912- £85,982 depending on location and experience – plus benefits outlined below

You’ll be joining as a Data Engineer, right at the beginning of our journey to modernise and transform our data management capability working alongside a multi-functional team, collaborating closely with the business, product owners and other engineering teams.

Our team is looking for an adaptable Software Engineer with a specific focus on Data Management and in particular Metadata Tooling. As a key member of our agile development community, you’ll evolve our data capabilities whilst embracing the best industry standards and together we’ll make it possible

About the role:The next phase of our transformation is moving more into streaming of data and cloud technologies underpinned through Data Management tools and techniques to meet data needs and our team will be right at the heart of that transformation.

• You’ll help shape our architecture by using the most appropriate modern toolsets available to LBG.

• You’ll 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.

So, what experience & skills do I need to apply?We want to grow our team of data engineers, so we’d be looking for you to have 5+ years relevant working experience in some of the following areas:

• Solid understanding of Metadata Tooling for Lineage, Dictionaries and Data Quality Management e.g. Collibra, Ataccama, Manta

• Experience in design, develop, test and implementation of data management solutions and applications.

• Strong Experience of Archiving processes and Information Lifecycle Management

• Technical skills: Java, SQL and Python.

• Working knowledge of data processing, data wrangling, and data analysis techniques

• Solid understanding on any public cloud, preferably Google Cloud Platform (including components such as GCS buckets, BigQuery, Cloud Dataflow or equivalents) and open source toolset.

• Experience with agile development methods & tooling

• Experience of using modern software development toolsets including DevOps, Continuous Integration and Delivery

What you’d get in return:This is a fantastic area of the bank, full of down-to-earth people passionate about engineering and sharing their expertise. As the team underpins so many important initiatives, it’s a key area to work with huge career potential.

Offering hybrid working patterns (2-3 days in either our Bristol or London hub) we believe that a healthy work/ life balance is as important as the work we deliver, just let us know what might work for you

We’re also passionate about diversity and equal opportunity with industry recognition across gender, ethnicity, disability, LGBTQ+ and families. And, being disability positive, reasonable adjustments can be accommodated in our Recruitment process.

We’re simply committed to building an inclusive environment where all our colleagues can be themselves and succeed on merit.

You’ll also receive a package that includes:

• Competitive salary with discretionary annual performance bonus

• A Cash sum of 4% which you can exchange for a variety of benefits (or take as cash)

• Private Medical Insurance and a generous pension contribution of up to 15%

• Share plans, including free shares

• 30 days holiday (plus bank holidays on top)

So, if you have a desire to work in an exciting Data Engineering role, then please get in touch we’d love to hear from you!