Big Data Engineer

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About Us:

As the UK's largest retail and commercial bank, Lloyds Banking Group has a footprint that touches nearly every household in the UK. That gives us a big responsibility to support the UK economy, and we have a clear strategy to put customers first - and achieve our vision of becoming the best bank for customers. We're an equal opportunity employer and deeply value diversity within our organisation.

We the largest provider of digital banking products in the UK and there couldn't be a better time to join us. As a Big Data Engineer in one of our feature teams you'll work in a highly collaborative way and enjoy seeing the influence of your work by crafting digital experiences for our customers across our web, mobile and tablet applications.

Core Purpose of the Role:

This is a phenomenal opportunity to join our team. You'll be working in a collaborative fashion driving effort to build, support and improve our backend software, all while working closely with our product and engineering teams which will provide exciting new challenges.

You will be Responsible for the ingestion, maintenance, improvement, cleaning and manipulation of data in operational and analytics databases including the resolution of existent issues. An understanding of Big Data solutions, preferably with hands-on experience building both batch and real-time data pipelines within scalable distributed environments

What we're looking for:

A track record of the required experience proven on a real production platform is a must, as are a "can-do" attitude, capability of bootstrapping projects, and ability to effectively work with multi-disciplinary, internal and external distributed teams across the project lifecycle. Strong DevOps/SRE background and deep knowledge of automated builds, code quality metrics etc. You appreciate and acknowledge the impact of system design decisions on scalability, resilience and supportability. So you'll need to show a real passion for developing new solutions and translating data into analytics based opportunities - role-modelling Data Engineering as it should be in the new digital age.

Essentials:

Deep and broad understanding of Java, (OR)Python

Experience of Hadoop stack especially tools Spark, Sqoop, Hive and Hbase

Experience with Agile methods

Configuration management tools - e.g. Git

Significant experience of agile development practices - TDD, BDD, automated builds, continuous integration, tooling to monitor code quality

Desirables:

Automation and building frameworks - e.g. Ant/Maven

Unit testing frameworks - e.g. JUnit

Continuous delivery with dependency management solutions such as Nexus

SQL databases

Experience with deployment, monitoring and management technologies. Examples: UrbanCode, Splunk, etc)

Proven technical and team leadership

What you'd get in return:

Offering you both opportunity and profile - we'll provide you with a diverse, energising and lively environment that focuses on equal opportunity and real career progression.

We'll take your personal and professional development very seriously and enable you to make a genuine difference to millions throughout your career with us!

We'll also give you a broad remuneration package which includes:

A performance share bonus

A generous pension contribution

A flex cash pot you can adjust to suit your lifestyle

Private health cover

28 days holiday plus bank holidays

Various share schemes including free shares

We're a founder member of the Agile Future Forum, a group of leading UK employers supporting flexible working. We're happy to consider options other than 9-to-5 office-based work. To us "Agile working" is more than working flexibly - it's about entrusting colleagues to think creatively about how, when and where they work, to deliver their very best!

So if you have a desire to work in a challenging Engineering role in a dynamic environment with quality at the heart of thinking, whilst gaining skills and experience within a friendly and motivated team then get in touch, we'd love to hear from you...