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Job Location | London |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent , full-time |
End Date Monday 21 November 2022 Salary Range £81,928 - £102,410 We support agile workingclick here for more information on agile working options.Agile Working Options Flexible / Variable Hours, Other Agile Working Arrangements / Open to Discussion Job Description Summary As below Job DescriptionBusiness Data Solution Engineer (Senior)Chief Data & Analytics Office, Lloyds Banking GroupBristol or London(hybrid working pattern, 2 days per week in office & rest from home)Salary & Benefits: £65,288 to £122,892 base salary depending on location and experience.Additional Package: Annual personal bonus, 15% employer pension contribution (when you put in 6%), 4% flexible cash allowance, private medical insurance, 30 days holiday plus bank holidays.Were a 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.Where does the role sitWere the Chief Data & Analytics Office within Lloyds Banking Group!We take ideas from the concept stage and work with our customers to understand how data science and machine learning can be applied. Youll work on a wide range of exciting projects with no shortage of work.We support all areas of the bank, so products you work on could apply to any area of financial services, and weve got one of the largest data sets available in FS for you to draw upon. Were well funded, and were expanding rapidly.What exactly does a Data Solution Engineer doData Solutions Engineers here at Lloyds are part of the senior management team and youll usually be embedded within one of the divisions which we support, for example Retail, or Insurance, or Commercial Banking as examples.Youll work with the division to understand their business problems revolving around data, then once you have built a picture of their data capabilities and required support, you can help to shape & accelerate the divisions data capabilities.A key focus will be to support our adoption of cloud, this is really important for us, and we need someone with good knowledge of the practical problems implementing cloud solutions for this role.Youll work closely with divisional areas and architecture to help shape, design, and build data and analytics solutions on our Google Cloud capability. Youll apply knowledge of enterprise application environments, data/analytics solution design, data modelling,data engineering, and tools such as BigQuery.As the adage goes, communication is key, which is certainly true of this role and youll often be the link between technical and non-technical audiences.What do we need to see from your applicationWere keen to see diverse and varied applications, however as this is a senior role in a niche industry area well need to see the following as a minimum to be considered for interview;