Shawbrook Bank

Lead Data Engineer

Job description

Shawbrook is a specialist bank driven by a purpose to power up ingenuity to create opportunity, every single day.


We offer a diverse range of savings and loan products. From personal and business savings accounts and loans for wedding and new cars, to complex financial credit facilities for businesses requiring significant investment and mortgages for landlords with multiple properties – no two customers are ever the same.


We give our customers the best-of-both worlds; uniquely combining strong digital capabilities with human expertise and ingenuity to deliver the best outcomes. We rise to the challenge of a complex case or unconventional circumstances, and we love to make things happen. By being creative, practical, and personal, we know we can always find the right solution for our customers.


If you’re willing to roll up your sleeves, contribute new ideas and believe anything is possible, you’re our kind of person


Work with us because you:

  • Want to be part of a bank built for the dynamics of the modern world
  • Relish a challenge and enjoy a fast-paced, innovative, and hardworking culture
  • Enjoy finding new and better ways to solve complexity and make things happen
  • Want to belong to a diverse culture that stands shoulder to shoulder with minority and underrepresented groups
  • Care about society and the environment and want to be part of a business that cares too
  • Want to continue to grow professionally and be the best version of yourself


Job Description

The Lead Data Engineer is a key role to ensure Shawbrook unlocks the value contained in its data across the organisation in a well-governed and ethical manner. Reporting to the Director of Data Platforms the role will be an important member of the Data Platforms Team and will be leading a team of skilled Data Engineers. You will also be one of the main points of contact of the business stakeholders into the Data Platforms team.


Qualifications

  • Demonstrable experience of at least 5 years running cloud-native data lakes in regulated industries. Whilst we use Microsoft Azure the role is agnostic about any actual cloud provider exposure as long as there is a clear track record of actual, hands-on experience
  • Managing team of 5 or more Data Engineers, across various seniority, and clear strategy for growing technical skills and business acumen of this team
  • You have considered and adopted, as applicable, proven software engineering principles as the core building block of your platforms and teams and able to articulate these decisions to promote wider adoption
  • For each stage of the data management process, such as integration, orchestration, serialisation, project configuration, observability, monitoring, cataloguing etc you are aware of best-in-class industry solutions and can make considered choices between them depending on your use case and able to communicate these decisions to wider audiences
  • You have a detailed knowledge of the concepts and principles of data modelling (particularly star-schema) and can produce, maintain, and update relevant data models for specific business needs including bespoke serialization techniques (e.g. Parquet) and table formats (Delta etc)


This is an incredibly exciting role that rarely becomes available. You will own a well-designed data lake serving a 50+ user community who run '000s of queries across TBs of data each month with a mandate to take it to the next level in terms of table formats, lineage, streaming data and AI/ML tech capabilities.


You will also have exciting opportunities to work with cutting edge teams in Product, Financial Crime Management, Capital Markets solving real business problems with data every day.


Company Benefits

  • Contributory pension scheme (8% employer contribution)
  • Company-funded private medical cover (with option to add dependents at your own cost)
  • Access to Babylon – Digital GP Support 24/7
  • Employee Assistance Programme (EAP) available 24/7
  • Access to Peppy – personalised healthcare support
  • Access to Headspace to support your mental well-being
  • Cycle to Work scheme
  • Company sponsored health and financial well-being events
  • An inclusion community focused on supporting you in bringing your whole self to work


Your Lifestyle

It’s important you strike the right balance between your work and personal life. We provide benefits to support you when at work and even when you’re not.

  • Minimum of 27 days holiday per year
  • Option to buy or sell holiday days through our flexi-holiday scheme
  • Day one entitlement for maternity & paternity and six months’ full maternity pay
  • Community and charitable giving plus one additional day’s leave to use for volunteering
  • Access to discounts on a range of high street and online brands plus gym memberships nationwide
  • Season ticket loans to help with the cost of commuting
  • We encourage hybrid working and promote a flexible blend of remote and office working


Your Development

We are passionate about the growth and development of our people so they can achieve their aspirations and be the best they can be.

  • Dedicated internal careers site
  • Access to a wide range of learning resources
  • Apprenticeships and support with professional qualifications in your chosen field
  • Management development and mentoring programme


Your Contribution

We reward those that go the extra mile in helping us achieve our goals.

  • Participation in our annual discretionary bonus scheme designed to reward your contribution to our success
  • Recognition scheme focused on celebrating our success and thanking our colleagues for a job well done
  • Opportunity to have your voice heard, through regular engagement surveys, events and our People Engagement Forum
  • Like working here? Refer a friend for a role and get rewarded


Interview Process

3 stage Interview process

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.

Similar jobs

Browse All Jobs
Clarivate
April 16, 2024

Lead Data Analyst

HeadHR
April 16, 2024

Lead Data Scientist

LHH
April 16, 2024

Lead Data Scientist (h/f)