Data Engineer

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Lloyds Banking Group is the UK's biggest Retail, Digital and Mobile bank with over 30 million customers and a huge responsibility to help Britain Prosper.

Artificial Intelligence, Data Science and Robotics are already playing a huge part in the Group's further £3bn digitisation...

Our Tooling Services platform includes Data Engineering, Data Science, Business Intelligence (BI), Machine Learning and Agile Delivery teams to build data solutions in areas such as technology, infrastructure and cloud, to enable more data-led decisions and help the Group achieve its ambition to be a truly data driven bank.

We're talking everything from helping build data engineering solutions around the technology estate and supporting data science and machine learning teams deliver exciting new solutions.

And in joining our Data Engineering team you could have a very bright future at the groundbreaking edge of data-led innovation!

You'd be working with data scientists and data engineers using both enterprise and open source tooling.

And with your skills spanning across DevOps, ETL, modelling and cloud platforms (e.g. GCP, Azure) you'll find yourself working on a range of very high-profile projects.

Together we'll make it possible...

About the role: We're a multi-functional team, collaborating closely across numerous teams to solve some of the Bank's toughest business problems.

We want to grow our team of data engineers who analyse data and build pipelines in distributed environments using Python, SQL and a wealth of other data technologies.

You'll provide the much-needed 'data expertise' to help shape the approach to solving the problem and contributing new/interesting ideas into the mix.

You'll develop high quality, reusable data pipelines at scale, ingesting structured and unstructured data into our data stores.

You'll collaborate regularly with Machine Learning Engineers and Data Scientists while working in our on-prem, Azure and GCP environments.

So you'll need to show a genuine passion for developing new solutions, evaluating new tech and translating data into analytics based opportunities - role-modelling Data Engineering as it should be in the new digital age.

Do you have the essential experience we're seeking?

Good coding/scripting experience using Python and SQL developed in a commercial/industry setting

Experience in Microsoft SQL Server, SSIS and / or Azure Data Factory

Computer science fundamentals: a clear understanding of data structures, algorithms, software design, design patterns and core programming concepts

Experience delivering analytical use cases in a cloud based environment

And experience in these would be a bonus:

Knowledge or experience of open source data engineering tools such as Apache Airflow

Exposure to GCP cloud tooling

Azure DevOps, infrastructure as code, Docker, Kubernetes, Helm

What you'd get in return: Our function is full of down-to-earth people passionate about data and sharing their expertise. And as data underpins so many important initiatives it's an area with huge career potential as well as offering you horizon-expanding exposure to a host of wider technologies.

Offering hybrid working patterns, 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. We'll also offer you a comprehensive package that includes:

A salary range between £52k and £80k+, depending on location and experience

Discretionary annual group performance bonus

Generous pension contribution of up to 15%

A 4% flex cash pot to spend on lifestyle benefits (or take as cash)

30 days holiday plus bank holidays

Private Health cover you can extend to family members

Share schemes, including free shares

Generous parental/adoption leave policies

So if you possess the Data Engineering skills we're after then get in touch, we'd love to hear from you!...