VAT Vakuumventile AG ResponsibilitiesDesign, develop and maintain the data warehouse and data lake analytics environment at VAT based on the Microsoft Fabric platform, ensuring performant and resilient infrastructure supporting VAT business worldwideDesign, develop and maintain end-to-end data analytics and BI solutions based on business requirements of various areas of VAT business (procurement, manufacturing, SCM, finance, sales and others) using your expertise across SQL, DAX, Python, Power BI and other applicable technologies within the Microsoft Fabric environmentMonitor, extend and troubleshoot existing data analytics and BI solutionsSupport key users and end users of analytics solutions (e. g.
semantic models, Power BI reports) on finding the right solution to their technical questions or challengesCollaborate and communicate across technical and business teams to support data-driven decision making at VAT, esp. with other engineers and developers, IT business consultants and business and data analystsWork closely with the rest of our analytics and BI team in an agile manner (scrum methodology) incl. code reviews and QARequirements:
5+ years working as a data engineer, analytics engineer, data warehouse or business intelligence developer or consultantBachelor’s degree in computer science, information systems, economics, business analytics or similar; OR corresponding professional experienceStrong proficiency in SQL, DAX and Power BI incl. semantic modellingExpertise in designing, implementing, and managing data pipelines and ETL processesProven track record in optimizing analytics workloads and platform performance, incl.
optimizing complex SQL queriesStrong analytical and problem-solving skills with keen attention to detailExperience in translating business requirements into actionable reports and dashboardsExcellent teamwork and communication skills to liaise with business as well as technical stakeholdersExperience working in a cross-functional and culturally diverse teamFull professional proficiency in spoken and written EnglishAbility to work independently under pressure and in a constantly changing environmentAdditional Qualifications (advantageous But Not Mandatory)Master’s degree in computer science, information systems, economics, business analytics or similar; OR corresponding professional experienceExperience with Microsoft Fabric and/or Azure Synapse AnalyticsProficiency in Python for Data Analytics or Data Science (pandas, numpy etc.
)Microsoft Certification: Fabric Analytics Engineer Associate (DP-600)Microsoft Certification: Fabric Data Engineer Associate (DP-700)Experience in implementing good visual communication standards (e. g. IBCS)Experience in conducting user trainingsExperience with the ERP system Microsoft Dynamics 365 Finance and OperationsExperience working in an agile manner, applying the scrum methodology
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