Job Title

Salary: Up to £85,000 depending on experience Contract Type: Permanent Reporting to theGeneral Manager of Data Engineering & Analytics , you’ll manage several multi-disciplinary data delivery teams aligned to one of our key customer journey stages with a remit to deliver a wide variety of data analytics and data integration initiatives.As ourData Engineering & Analytics Manager , you’ll have access to a wide range of benefits including: Hybrid working (we’re in the office 3 days per week) Annual pay reviews Colleague discounts onJet2holidaysandflightsWhat you’ll be doing:As aData Engineering & Analytics Managerin our Data teams, you’ll lead across 4 key areas:Data Delivery– You’ll be responsible for the delivery performance of your teams and ensure key delivery metrics are closely monitored, allowing you to provide support where needed. Data Culture– You’ll drive a data-first culture both within the data team and across the business by supporting continual learning and development. Data Architecture & Solution Design– You’ll support the optimisation of our data architecture, working closely with other data managers and our data architecture team. Team Leadership– You’ll manage several multi-disciplinary data delivery teams consisting of Data & Analytics Engineers and Test Engineers, with Data Scientists and Data Visualisation specialists embedded as required. What you’ll have: Communication and Management– Strong communication skills will be needed to influence teams and stakeholders at all levels of the organisation from Engineers to C-level. The role manages several multi-disciplinary teams, so you’ll be experienced in setting direction and communicating priorities clearly. Analytical Focus– You should have practical experience helping business users to translate analytical requirements into technical solutions and ensuring that the right analytical questions are being asked. Technical Ability– Strong proficiency in designing and delivering data and analytics solutions across multiple platforms, as well as a strong understanding of cloud platforms such asAWS, Azure , andGCP(AWS is preferred). Desirable expertise in the following:Data Warehousing –Snowflake(preferred),Google BigQuery ,AWS Redshift , orAzure Synapse . A good understanding and practical experience of analytical data modelling techniques is essential (e.g., dimensional modelling, data vault, etc). Data Pipelines – Experience working with a wide variety of data sources and data transformation techniques. Data Visualisation – Although we have dedicated data visualisation specialists within the team, any knowledge of or experience with data visualisation platforms such asTableau(preferred) would be beneficial.This role will likely be focused in our finance and corporate applications domain initially, so although prior experience of working in a finance domain is not essential, any experience in this area would be a distinct advantage.#LI-Hybrid #J-18808-Ljbffr