[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-senior-microsoft-data-engineer-hybrid-role-amsterdam":3,"similar-senior-microsoft-data-engineer-hybrid-role-amsterdam":42},{"id":4,"slug":5,"title":6,"skills":7,"budget":27,"duration":27,"location":28,"onsitePercent":29,"contractType":30,"foundAt":31,"category":32,"description":36,"rawText":37,"webTitle":38,"webText":39,"language":40,"projectId":27,"sourceUrl":41},10137,"senior-microsoft-data-engineer-hybrid-role-amsterdam","Senior Microsoft Data Engineer – Hybrid Role (Amsterdam)",[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26],"Microsoft Azure","Azure Synapse","Data Factory","Databricks","Stream Analytics","Microsoft Fabric","Python","SQL","ETL\u002FELT","Spark","Hadoop","Data Warehousing","DevOps","CI\u002FCD","Infrastructure as Code","Azure Purview","Azure OpenAI","Power BI","AI\u002FML",null,"Amsterdam",50,"permanent","2026-06-03T06:00:55+00:00",{"id":33,"slug":34,"label":35},4,"data_analytics","Data & Analytics","Senior Data Engineer position focused on delivering modern Azure and Microsoft Fabric data solutions to support digital transformation. Role involves designing and optimizing scalable batch and real-time data pipelines using Azure technologies.","\u003Cp>\u003Cstrong>Senior Microsoft Data Engineer – Hybrid Role (Amsterdam)\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Gericht op het leveren van moderne Azure- en Microsoft Fabric data-oplossingen die de digitale transformatie van klanten ondersteunen. De rol omvat het ontwerpen en optimaliseren van schaalbare batch- en real-time datapijplijnen met technologieën zoals Azure Synapse, Data Factory, Databricks, Stream Analytics en Microsoft Fabric.\u003C\u002Fp>\n\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Verantwoordelijkheden omvatten ook:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Implementeren van CI\u002FCD en Infrastructure as Code\u003C\u002Fp>\n\u003Cp>Waarborgen van governance en security met Azure Purview\u003C\u002Fp>\n\u003Cp>Bouwen van dataplatformen en een sterk begrip van schone data om AI mogelijk te maken\u003C\u002Fp>\n\u003Cp>Integreren van AI\u002FML-mogelijkheden via Azure OpenAI en Power BI, inclusief het monitoren van prestaties en kosten\u003C\u002Fp>\n\u003Cp>Begeleiden van junior engineers\u003C\u002Fp>\n\u003Cp>Ervaring met Data Warehouse, BI-workloads, datapijplijnen, dataflows, rapportagedata en real-time analytics.\u003C\u002Fp>\n\u003Cp>5+ jaar ervaring met Microsoft Azure data services, sterke kennis van Python en SQL, expertise in ETL\u002FELT, Spark, Hadoop, data warehousing, DevOps en veilige cloudarchitecturen.\u003C\u002Fp>\n\u003Cp>Ervaring met AI\u002FML-workloads.\u003C\u002Fp>\n\u003Cp>Goede communicatie- en presentatievaardigheden.\u003C\u002Fp>\n\u003Cp>Vereist flexibiliteit om te werken vanuit huis, bij de klant of op kantoor.\u003C\u002Fp>\n\u003Cp>Sterke klantgerichtheid, met het vermogen om met klanten te schakelen en onsite behoeften te ondersteunen.\u003C\u002Fp>\n\u003Cp>Je dient vloeiend Nederlands en Engels te spreken.\u003C\u002Fp>\n\u003C\u002Fp>\n\u003Cp>Het bedrijf biedt hybride werken, 30 vakantiedagen, een flexibel pensioen, mobiliteitsvoordelen, thuiswerkondersteuning, uitgebreide opleidingsmogelijkheden, wellnessprogramma’s en een inclusieve, samenwerkende cultuur met sterke nadruk op diversiteit en teamontwikkeling.\u003C\u002Fp>\n\u003Cp>Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fcounter.adcourier.com\u002FRG9uLkhhcnJpcGVyc2FkaC43NjY4Ni4xMjc4NEBkYXJ3aW4uYXBsaXRyYWsuY29t.gif\">\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #ffffff\">Don Harripersadh\u003C\u002Fspan>\u003C\u002Fp>\nAnsprechpartner: Don Harripersadh\nE-Mail: Don.Harripersadh@darwinrecruitment.com\nTelefon: +31-20-809-8295","Senior Microsoft Data Engineer - Hybrid Role","Wir suchen einen erfahrenen Senior Microsoft Data Engineer für eine hybride Position, der sich auf die Entwicklung moderner Azure- und Microsoft Fabric-Datenlösungen spezialisiert hat. In dieser Rolle unterstützen Sie die digitale Transformation durch das Design und die Optimierung skalierbarer Batch- und Real-Time-Datenpipelines mit Technologien wie Azure Synapse, Data Factory, Databricks, Stream Analytics und Microsoft Fabric.\n\nZu Ihren Hauptaufgaben gehören die Implementierung von CI\u002FCD und Infrastructure as Code, die Gewährleistung von Governance und Security mit Azure Purview sowie der Aufbau von Datenplattformen mit einem starken Verständnis für saubere Daten zur Ermöglichung von KI-Anwendungen. Sie integrieren AI\u002FML-Funktionen über Azure OpenAI und Power BI, überwachen Performance und Kosten und betreuen junior Engineers.\n\nWir erwarten mindestens 5 Jahre Erfahrung mit Microsoft Azure Data Services, fundierte Kenntnisse in Python und SQL sowie Expertise in ETL\u002FELT, Spark, Hadoop, Data Warehousing, DevOps und sicheren Cloud-Architekturen. Erfahrung mit AI\u002FML-Workloads ist erforderlich. Ausgezeichnete Kommunikations- und Präsentationsfähigkeiten sind ebenso wichtig wie die Flexibilität, im Homeoffice, beim Kunden oder im Büro zu arbeiten.\n\nSie sollten eine starke Kundenorientierung mitbringen und fließend Niederländisch und Englisch sprechen. Wir bieten hybrides Arbeiten, 30 Urlaubstage, flexible Pensionsregelungen, Mobilitätsvorteile, Homeoffice-Unterstützung, umfangreiche Weiterbildungsmöglichkeiten, Wellness-Programme und eine inklusive, kollaborative Unternehmenskultur mit starkem Fokus auf Diversität und Teamentwicklung.","nl","https:\u002F\u002Fwww.darwinrecruitment.com\u002Fjob\u002F7766864586025-senior-microsoft-data-engineer-amsterdam-north-holland\u002F",{"items":43},[44,64,71,77,83,103,124,138,157,163,177,195,211,219,235],{"id":45,"slug":46,"title":47,"skills":48,"budget":27,"duration":58,"location":59,"onsitePercent":60,"contractType":61,"foundAt":62,"category":63},9174,"implementation-consultant-2","Implementation Consultant",[15,14,49,50,51,52,53,54,55,56,57],"Unix","SPARQL","Nova Context (SIA)","Pronto","ITIL","ServiceNow","24x7 Operations","Monitoring Tools","APM","6 months","Helsinki",60,"contracting","2026-06-03T05:34:57+00:00",{"id":33,"slug":34,"label":35},{"id":65,"slug":66,"title":67,"skills":68,"budget":27,"duration":27,"location":28,"onsitePercent":29,"contractType":30,"foundAt":69,"category":70},8610,"senior-microsoft-data-engineer-amsterdam-3","Senior Microsoft Data Engineer (Amsterdam)",[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26],"2026-06-03T05:21:02+00:00",{"id":33,"slug":34,"label":35},{"id":72,"slug":73,"title":67,"skills":74,"budget":27,"duration":27,"location":28,"onsitePercent":29,"contractType":30,"foundAt":75,"category":76},8376,"senior-microsoft-data-engineer-amsterdam-2",[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26],"2026-06-03T05:14:45+00:00",{"id":33,"slug":34,"label":35},{"id":78,"slug":79,"title":67,"skills":80,"budget":27,"duration":27,"location":28,"onsitePercent":29,"contractType":30,"foundAt":81,"category":82},7931,"senior-microsoft-data-engineer-amsterdam",[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26],"2026-06-03T04:58:39+00:00",{"id":33,"slug":34,"label":35},{"id":84,"slug":85,"title":86,"skills":87,"budget":27,"duration":98,"location":99,"onsitePercent":100,"contractType":61,"foundAt":101,"category":102},7560,"data-architect-big-data-governance-ki-technologien-mwd-90-remote-2","Data Architect (Big Data, Governance, KI-Technologien) (m\u002Fw\u002Fd) 90% remote",[88,89,90,91,92,93,94,95,96,97],"Big Data","Governance","KI-Technologien","JIRA","Confluence","SharePoint","Enterprise Data Architecture","EU AI Act","Stakeholdermanagement","Compliance","12.06.2026 – 31.12.2026","Frankfurt Main",10,"2026-06-02T19:21:16+00:00",{"id":33,"slug":34,"label":35},{"id":104,"slug":105,"title":106,"skills":107,"budget":27,"duration":120,"location":99,"onsitePercent":121,"contractType":30,"foundAt":122,"category":123},7559,"data-architect-datenmodellierung-etlelt-data-governance-mwd-95-remote","Data Architect (Datenmodellierung, ETL\u002FELT, Data Governance) (m\u002Fw\u002Fd) 95% remote",[108,16,109,110,111,95,112,113,21,114,115,116,117,118,119],"Datenmodellierung","Data Governance","API-\u002FEvent-Integration","DSGVO","Six Sigma Black Belt","Kubernetes","DevSecOps","IaC","Neo4j","ArangoDB","LLM","RAG","17.06.2026 – 31.12.2026",5,"2026-06-02T19:20:59+00:00",{"id":33,"slug":34,"label":35},{"id":125,"slug":126,"title":127,"skills":128,"budget":27,"duration":134,"location":27,"onsitePercent":135,"contractType":61,"foundAt":136,"category":137},7510,"senior-power-bi-consultant-mwd-migration-und-weiterentwicklung-einer-reporting-landschaft","Senior Power BI Consultant (m\u002Fw\u002Fd) – Migration und Weiterentwicklung einer Reporting-Landschaft",[129,130,131,108,15,132,133],"Microsoft Power BI","DAX","Power Query","Reporting","Dashboard-Entwicklung","mindestens 3 Monate",0,"2026-06-02T14:02:33+00:00",{"id":33,"slug":34,"label":35},{"id":139,"slug":140,"title":141,"skills":142,"budget":151,"duration":152,"location":153,"onsitePercent":154,"contractType":61,"foundAt":155,"category":156},7499,"senior-data-engineer-4","Senior Data Engineer",[143,144,11,145,146,147,148,149,150],"Data Engineering","PySpark","AWS","Data Pipelines","Medallion Architecture","Financial Services","English","Stakeholder Management","Negotiable","10+ Monate","Vilnius",40,"2026-06-02T13:31:11+00:00",{"id":33,"slug":34,"label":35},{"id":158,"slug":159,"title":141,"skills":160,"budget":151,"duration":152,"location":153,"onsitePercent":154,"contractType":61,"foundAt":161,"category":162},7498,"senior-data-engineer-3",[143,144,11,145,146,147,148,149],"2026-06-02T13:30:55+00:00",{"id":33,"slug":34,"label":35},{"id":164,"slug":165,"title":166,"skills":167,"budget":27,"duration":27,"location":174,"onsitePercent":135,"contractType":61,"foundAt":175,"category":176},7448,"data-engineer-azure-databricks-mfd","Data Engineer - Azure Databricks (m\u002Ff\u002Fd)",[168,169,15,14,170,25,21,171,172,173],"Azure","Azure Databricks","Scala","Jira","Scrum","Kanban","Wrocław","2026-06-02T11:26:01+00:00",{"id":33,"slug":34,"label":35},{"id":178,"slug":179,"title":180,"skills":181,"budget":151,"duration":58,"location":192,"onsitePercent":60,"contractType":61,"foundAt":193,"category":194},7443,"cloud-mdm-developer","Cloud MDM Developer",[182,183,184,185,186,187,188,189,190,191],"Master Data Management (MDM) development","enterprise MDM solutions","cloud-based MDM processes","data quality","data governance","master data domain management","MDM workflow optimisation","performance tuning","Banking experience","English communication","London","2026-06-02T10:30:42+00:00",{"id":33,"slug":34,"label":35},{"id":196,"slug":197,"title":198,"skills":199,"budget":27,"duration":27,"location":208,"onsitePercent":29,"contractType":30,"foundAt":209,"category":210},7435,"analytics-engineer-mwd-bi-reporting-2","Analytics Engineer (m\u002Fw\u002Fd) BI & Reporting",[15,108,25,200,201,202,203,204,205,206,207],"SAP","Analytics Engineering","BI","Data Products","ERP-Daten","SAC","Semantische Datenmodelle","Datenqualität","Hannover","2026-06-02T09:36:02+00:00",{"id":33,"slug":34,"label":35},{"id":212,"slug":213,"title":198,"skills":214,"budget":27,"duration":27,"location":208,"onsitePercent":27,"contractType":30,"foundAt":217,"category":218},7430,"analytics-engineer-mwd-bi-reporting",[15,108,25,200,201,202,203,204,205,206,207,215,216],"Deutsch","Englisch","2026-06-02T09:11:28+00:00",{"id":33,"slug":34,"label":35},{"id":220,"slug":221,"title":222,"skills":223,"budget":27,"duration":27,"location":231,"onsitePercent":232,"contractType":61,"foundAt":233,"category":234},7384,"data-scientist-mwd-engineering","Data Scientist (m\u002Fw\u002Fd) Engineering",[14,15,11,224,225,226,227,25,228,88,17,18,229,230],"Data Analytics","Machine Learning","Pandas","NumPy","Tableau","Clustering","Regression","Mannheim",100,"2026-06-02T06:25:48+00:00",{"id":33,"slug":34,"label":35},{"id":236,"slug":237,"title":238,"skills":239,"budget":27,"duration":27,"location":208,"onsitePercent":29,"contractType":30,"foundAt":241,"category":242},7362,"data-product-engineer-mwd-3","Data Product Engineer (m\u002Fw\u002Fd)",[15,108,25,205,200,204,201,202,203,240,207],"semantische Datenmodelle","2026-06-01T19:11:08+00:00",{"id":33,"slug":34,"label":35}]