Senior Big Data Engineer Full Time

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.

The base salary banding for this role is £71,577- £79,530 in London and £61,911 – £68,790 outside of London, depending on experience – plus benefits outlined below

Our team

We’re the Data & Machine Learning (D&ML), in the Data Content Services lab. We’re responsible for Hadoop based Systems of Insight within the Group. Whilst currently on-prem, we’re moving to the cloud, making this an excellent time to join our team on this journey.

About the role

We’re the owners of the Enterprise Data Hub – a Hadoop implementation based upon Hive and Spark, currently favouring Scala. The Group has also signed up to a strategic partnership with Google to utilise their Cloud Platform services (GCP) to build a new strategic platform for the Group to prepare our Bank of the Future service for customers. We anticipate very significant opportunity for review of our systems, data processing methods and approaches.

What you’ll be involved in

As a Senior Big Data Engineer you’ll be responsible for leading a scrum team delivering the highest quality data processing and analytical systems.

You will deliver the highest quality data processing and analytical systems, drawing upon your engineering and coding expertise, whilst being open minded to the opportunities the cloud provides.

You’ll understand key business and lab priorities, deliver code, facilitate solution designs and identify potential technical impediments then work to resolve them.

You’ll also get the opportunity to mentor and support more junior members of the team as we grow.

What key skills you’ll need to apply for the role?

We’d welcome applicants from diverse organisational, cultural, and technological backgrounds and believe this is critical to success.

Essential

• Prior experience of big data systems (large scale Hadoop, Spark, Beam, Flume, or similar data processing paradigms)

• Hands-on approach and knowledge of big data systems, ideally Hadoop/Spark

• Proven data transformation and ETL experience

• Prior programming skills in any language ideally Scala, Python

Desirable

• Banking or Financial services background

• Google cloud platform experience or other cloud technologies, ideally Azure or AWS

• Innovative – constantly looking for new ways of solving problems and delivering more efficient solutions, especially using automation and DevOps methodologies

• Adaptable – ideally with experience working in a large matrix organisation, delivering in both traditional fast path Waterfall and Agile methods

What you’d get in return:

Offering hybrid working patterns (2-3 days in either our London or Bristol 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 Software Engineer role, then please get in touch we’d love to hear from you!