Forsyth Barnes Deutschlandweit vor 2 Tagen

Data Engineer (Ref: 197753)

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About Us Forsyth Barnes have partnered with a leading FMCG company based in Cambridgeshire to scale their data and analytics team Job Description ReportingtotheDataManager,you’llhelpdesign,buildandimprovethedataplatformsand infrastructure that support financial and operational insight across the business.

Ifyouenjoysolvingproblems,workingwithmodernclouddatatechnologiesandseeingthe direct impact of your work within a fast-moving business, this is a fantastic opportunity to make a real difference. Thisisahands-onrolewhereyou’llworkwithdatafrommultiplesystemsandsources,often with varying levels of structure, consistency and quality.

Using technologies including MicrosoftFabric,Azure,Python,SQLandPowerBI,you’llbuildreliable,scalableand maintainable data solutions.

You’ll be involved in significant technology and transformation projects, developing and enhancingdatapipelines,integratingnewdatasources,troubleshootingtechnicalissuesand improving the performance and reliability of existing solutions.

Key Responsibilities • Design, build and operate ELT/ETL data pipelines using Microsoft Fabric • Design and develop data solutions within a Medallion Architecture (Bronze, Silver and Gold) Develop, optimise and maintain complex SQL queries to support reporting and analytics • Integrate data from a variety of internal and external sources • Manage and optimise lakehouses, warehouses and associated storage • Implement data quality, testing and observability processes to ensure data is accurate, reliable and compliant • Support data lineage and ensure stakeholders can trust the information available to them • Enable self-service analytics through well-documented data models and transformation logic • Monitor performance and proactively identify opportunities to improve our data infrastructure • Troubleshoot incidents, complete root-cause analysis and deploy effective fixes • Contribute to CI/CD practices, documentation and engineering standards • Work closely with colleagues across IT and the wider business to deliver fit-for-purpose data solutions • Continuously look for opportunities to improve our technology, processes and ways of working Requirements • At least 5 years' experience across data engineering, data analytics and/or Business Intelligence • Proficiency in Python and SQL • Excellent knowledge of Microsoft Fabric and Power BI Service • Experience building and operating data pipelines within Azure, including technologies such as ADF, Synapse and Fabric • Strong understanding of Spark • Experience working with complex and imperfect datasets • Experience delivering technology projects within a fast-paced organisation • Knowledge of version control, Azure DevOps and CI/CD best practices • Understanding of Infrastructure-as-Code tools such as Terraform • Knowledge of identity and secrets management and cloud cost optimisation • Understanding of information management principles, processes and Master Data Management (MDM) • Experience delivering solutions within appropriate development frameworks and methodologies, with consideration for ongoing supportability

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