Location: ChesterTerms: PermanentPosition type: Full-timeHours of work: 37.5 hours per week (hybrid opportunities available)Salary: £43,000 – £60,000About the roleThis is an exciting opportunity to lead the Data Warehousing team within the Technology function at SMF.In recent years SMFL has developed a data warehousing function from the ground up, to support a the MI and analytics community. As we look to the future, the data warehousing service will replatform and modernise to utilise industry leading tooling within a modern cloud architecture. In addition to delivery of the software and architecture changes, the data warehousing team will also develop and support a suite of analytical and reporting tables to simplify and standardise output throughout the organisation. A key, and growing, requirement is also to engage with the wider business to develop and maintain process automation solutions.The Data Warehousing Manager will lead the team in delivering this vision while supporting the day to day operations and support of analytical and MI services within SMFL.Key ResponsibilitiesCo-ordinating and managing the data warehousing team to deliver the necessary support and change requirementsSupporting and engaging with the project delivery team as required by SMFL’s project activityTracking and management of the data warehousing work backlog, and prioritisation of work items across the team as agreed with technology managementPeople management of the data warehousing teamMentoring and development of data warehousing team membersDelivering ELT and data processing code as part of a working technical teamDelivering and maintaining process automation solutionsLiaising with 3rd party suppliers and vendors to ensure productive working relationships with SMF’s partnersEnsuring data warehousing systems and processes are adequately documentedConsidering and advising on data security and compliance requirementsSolution design to ensure the right architecture, process and code structure is utilised when change or new development is neededMaintaining and supporting the scheduling system utilised to run reporting and warehouse build jobsChampioning and encouraging the wider data warehousing user community to adopt coding and solution design best practicesCandidate RequirementsGood educational background in relevant field, such as Computer Science, Engineering and MathematicsAt least 3-5 years proven working experience in data warehousing and/or data-related rolesExcellent client-facing, written and communication skillsStrong understanding of data warehousing and ETL principlesSolid organisational skills including attention to detail and multi-tasking skillsExperience/Knowledge of SAS software on SAS 9.4 platform architectureExperience/Knowledge of Oracle database solutions and other database platforms (SQL Server etc.)Experience with Python 3.xAbility to interact with Windows and Linux OS as well as batch/shell script to at least an intermediate levelKnowledge, understanding and experience of change and release management processesGood analytical/problem solving skillsGood communication skills (written and verbal), applied at all levels across an organisationKnowledge of legal guidelines around Data and FinanceExperience working within an FCA approved Financial Services organisation

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