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Technical Lead - Data Engineering

Job LocationBristol
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

End Date Monday 06 March 2023 Salary Range £67,896 - £84,870 We support agile workingclick here for more information on agile working options.Agile Working Options Other Agile Working Arrangements / Open to Discussion Job Description Summary . Job DescriptionEngineering Leed - Lloyds Banking GroupBristol(hybrid working pattern, 2 days per week in office & rest from home)Salary & Benefits:£70-100K base salary, depending on location and experience.Who are Lloyds Banking Group and where does this role sitLloyds Banking Group (LBG) is the UKs biggest Retail, Digital and Mobile bank with over 30 million customers. Our products touch the lives of millions, so we have a huge responsibility to help Britain Prosper. With data at the heart of our group strategy,now is the perfect time to join our Chief Data & Analytics Office (CDAO) and be part of our transformation into a cloud-enabled, data-driven organisation!CDAO brings together Data Engineering, Data Science, Business Intelligence (BI) and Data Management. Helping to build data solutions across all areas of the business such as; customer segmentation, pricing, customer experience, credit decisioning, commercialperformance and fraud detection.As an Engineering LeadBeing part of the engineering leadership team, youll help to develop and champion engineering principles, tooling and frameworks across our 80+ data engineers.Youll solve problems revolving around data, and help to craft solutions.A key focus will be to support our adoption of cloud, this is really important for us, we need someone with good knowledge of the practical side of implementing cloud solutions for this role.Youll work closely with our engineers to help shape, design, and build data and analytics solutions across a range of platforms. Youll champion the development and adoption of tools and frameworks which simplify complexities and ensure our solutions areof the highest quality.What were looking for

  • Experience of delivering data engineering pipelines to support adoption of new capabilities.
  • The ability to work across teams, facilitating, and pushing projects forward, upholding standards.
  • A breadth of knowledge of potential solutions utilising Data Science, Machine Learning, Artificial Intelligence or BI (Youll need a grounding in more than one area in order to provide technical leadership to our Chapter)
  • Experience of working in the cloud both from a design and build point of view (GCP, AWS or Azure)
  • Experience working with technical and non-technical audiences - asking intelligent questions and able to make complex data analysis simple.
  • Depth of knowledge around standard data management practices, and for what can be achieved using data and an appreciation of what benefits can be derived from data.
Additional Package:Annual personal bonus, 15% employer pension contribution (when you put in 6%), 4% flexible cash allowance, private medical insurance, 28 days holiday plus bank holidays.We are very flexible employers and dont stick to the normal 9-5, within reason you can work hours to suit your lifestyle.Were very family friendly as a company and have a great collection of smart, collaborative and diverse teams for you to join.Together we make it possible!At Lloyds Banking Group, were driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us youll have a key role to play in shaping the financialservices of the future, whilst the scale and reach of our Group means youll have many opportunities to learn, grow and develop.Were focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together were building a truly inclusive workplace where all of our colleagues have the opportunityto make a real difference.

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