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Data Engineer (Python) (LBG/1018/627982)

Brand:
Lloyds Banking Group
Location:
London - 48 Chiswell St
Salary:
£57,000 - £67,063
Job pattern:
Full-time
Closing date:
21 October 2018
Agile working options:
Other agile working patterns/Open to discussion
Click here for information on agile working options
Lloyds Banking Group

Job details

Lloyds Banking Group is the UK’s leading digital bank and its biggest mobile bank - with over 14 million active online customers.

We're embarking on a three year, £3bn, transformation programme - putting unprecedented levels of investment into our platforms, people and data capabilities to build the bank of the future.

And with over 30m customers we're harnessing the data we hold to ensure we become the best Bank for customers through our products and services.

Artificial Intelligence, Data Science and Robotics are already playing a huge part in our further digitisation…

Our Digital Development and Applied Sciences Team focusses on these areas - helping us rapidly transform the Group’s capabilities.

They're helping build data science solutions around virtual smart agents, network threat detection, price optimisation, customer segmentation, credit decisions and fraud detection.

And in joining their Data Engineering team you could have a very bright future at the cutting edge of data-led innovation.

• You’d be working within a team of pathfinders and trailblazers at the hub of this groundbreaking agenda.
• You'd also be routinely working with industry partners, from start-ups to industry giants, to help advance our data science agenda at a pace faster than we could achieve by ourselves

And with your skills spanning across data mining/analysis/modelling and Hadoop you’ll get to work on a vast range of high-profile projects.

These will also give you some horizon-expanding exposure to a host of wider technologies and careers in data.

Together we’ll make it possible…

Does the following work appeal?

• You'd ensure data quality in data collection from our data lake of structured and unstructured sources
• You'll have responsibility for the structure, packaging and repeatability of datasets that nourish our Robotics, Cognitive and Data Science areas
• You'll be working with our new Hadoop platforms and state of the art toolsets to deliver value over and above traditional database technologies
• You'd act as a partner to your Model Developer/Machine Learning Engineering colleagues to provide high-quality data for model build, insight and automation.

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.

Could you bring the skills and value we need?

We want to grow our team of data engineers who analyse data and build pipelines in distributed environments using Python. So we’d be looking for you to have experience in some of the following areas:

• Python development gained in a commercial/industry setting
• Experience working with relational and non-relational databases (SQL and NoSQL stores) and some exposure to Hadoop technologies
• Data analysis using Python would be highly desirable (e.g. pandas, numpy, matplotlib, scipy)
• Exposure to Spark (PySpark in particular) would be desirable but is not essential.

What would you get in return?

We’ll give you stretch as well as an energising and informal environment. And you'll realise genuine career progression opportunities gained within a nurturing culture that celebrates both diversity and equal opportunity.

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.

We’ll also offer you a comprehensive package that includes:

• Car/allowance of c£4k
• Performance share bonus of c15%,
• Generous pension contribution
• A 4% flex cash pot to spend on lifestyle benefits (or take as cash)
• 30 days holiday plus bank holidays
• Private Health cover
• Share schemes including free shares

Want to see the true power of data?

So if your expertise lies across Python and wider data engineering disciplines and joining a growing team within a leading FinTech appeals then get in touch, we’d love to hear from you...

Our vision of being the best bank for customers is dependent on every colleague committing to and demonstrating our core value of "putting customers first". In joining us you'll have a role that matters and will contribute towards the Group achieving our vision through your day-today actions being performed in line with our Codes of Responsibility and Group Policies. By individually and collectively committing to our Group values and codes, we will be able to make a difference together and help Britain prosper.

We're also committed to employing a diverse and inclusive workforce, reflective of the customers and communities we serve – where all our colleagues can be themselves and succeed on merit.

We're proud to have received the following industry recognition: 'Stonewall Top Private Sector Employer', 'Top10 Employer for Working Families', 'The Times Top 50 Employer for Women' and both 'Gold Standard' and "Best Workplace Adjustments Process" from the Business Disability Forum – each demonstrating our commitment to the principles of agile working and inclusion for all.

So if this sounds like a culture that you'd like to be a part of then be assured that we'll welcome your application.