Job Description

JOB TITLE: Data Engineer

SALARY: \xc2\xa345,054 to \xc2\xa355,000

LOCATION(S): Edinburgh, Bristol, Leeds or Manchester

HOURS: Full-time

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week currently, or 40% of our time, at one of our hub offices.

About this opportunity

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 leaming teams deliver exciting new solutions

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

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.

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 contribution 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.

Do you have the essential experience were seeking?

Specifically, we\'re looking for people who have

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, sottware design. design patterns and core programming concepts.

Experience delivering analytical use cases in a cloud based environment.

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

We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it\'s why we especially welcome applications from under-represented groups. We\'re disability confident. So if you\'d like reasonable adjustments to be made to our recruitment processes, just let us know.

We also offer a wide-ranging benefits package, which includes:

A generous pension contribution of up to 15%

An annual performance-related bonus

Share schemes including free shares

Benefits you can adapt to your lifestyle, such as discounted shopping

30 days\' holiday, with bank holidays on top

A range of wellbeing initiatives and generous parental leave policies

If you\'re excited by the thought of becoming part of our Quality Engineering team, get in touch. We\'d love to hear from you.

Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more.

Lloyds Banking Group