Data Engineer

second-line support and guidance to application support teamsIdentify opportunities for technical efficiencies and share best practiceEnsure compliance with regulatory standards and internal policiesOther duties as reasonably required by line management and 7IMAbout YouExperienceExperience in a data engineering role, ideally within a regulated environmentKnowledge of the following is required:Modern Data platform concepts; Data Lake, Lakehouse, Data Warehouse, Data VaultETL / ELT processes and designing, building and testing data pipelinesBuilding data transformations using Python /PySparkAzure Cloud Version control and CI/CD tools, specifically Azure DevOps ServiceAnalytics and MI products including MS Power BIData catalogue & governance using MS PurviewKnowledge of the following would be desirable:Microsoft server-based data products (SQL Server, Analysis Services, Integration Services and Reporting Services)Enterprise Architecture tools (e.g. LeanIX, Ardoq), Frameworks (TOGAF) and

core artefacts (Capability Models, Technical Reference Models, Data Flow Diagrams)Experience developing and implementing technology roadmaps and target state architecturesExperience integrating bespoke software, commercial off-the-shelf packages and third-party servicesDemonstrable experience of migrating on-premises workloads to cloud-native servicesExcellent analytical, problem-solving and communication skillsStrong stakeholder management and influencing abilities at all levelsCommitment to continuous learning and keeping skills currentSkillsAble to work independently within the data space and comfortable dealing with some ambiguityComfortable delivering to plan in a fast-paced environmentExcellent verbal and written communication with a proven track record of stakeholder engagement and influencing both business and technical stakeholdersAbility to communicate between the technical and non-technical - interpreting the needs of technical and business stakeholders, communicating how activities meet strategic goals and client needsAbility to analyse data to drive efficiency and optimisation, design processes and tools to monitor production systems and data accuracyAbility to produce, compare, and align different data models across multiple subject areas, reverse-engineering data models from a live system where requiredExcellent analytical and numerical skills are essential, enabling easy interpretation and analysis of large volumes of dataExcellent problem-solving and data modelling skills (logical, physical, semantic and integration models)QualificationsRelevant degree or equivalent experience.Azure DP-203 (or equivalent)Certification in Data Governance and Stewardship Professional (DGSP) or similar (desirable).Evidence of business experience or formal business qualifications (desirable).Other relevant informationExperience of wealth management (including operational knowledge) would be advantageousPrior experience working in Financial Services preferred thorough understanding of data security, data privacy, and GDPR required #J-18808-Ljbffr

Purpose Design, build, test and release data solutions to support the requirements of the business. Working within the data engineering team, you will deliver robust, scalable and secure data pipelines and contribute to the modernisation of 7IM’s data platform, tools and processes.ResponsibilitiesBuild robust and scalable data solutions that meet technical and security standardsContribute to the design of data solutions in line with the architecture and roadmapDesign, develop, test and release robust, scalable software solutions using modern technologies and best practicesDevelop and maintain data models, pipelines and documentationAdhere to engineering standards and help keep technical debt in checkCollaborate with business stakeholders and technical teams to analyse needs, propose solutions and ensure alignmentContribute to initiatives that modernise technology, tools and development processesPeer review code and documentation for accuracy, maintainability and supportabilityProvide