[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-senior-data-science-engineer-databricks-azure-contract":3,"similar-senior-data-science-engineer-databricks-azure-contract":46},{"id":4,"slug":5,"title":6,"skills":7,"budget":29,"duration":30,"location":31,"onsitePercent":32,"contractType":33,"foundAt":34,"category":35,"description":39,"rawText":40,"webTitle":41,"webText":42,"language":43,"projectId":44,"sourceUrl":45},11214,"senior-data-science-engineer-databricks-azure-contract","Senior Data Science Engineer Databricks \u002F Azure (contract)",[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28],"Python","Pandas","PySpark","SQL","MLOps","Azure Databricks","Unity Catalog","dbt","Apache Spark","Kafka","MS SQL Server","PostgreSQL","Oracle","MongoDB","Qdrant","Azure DevOps","Azure Synapse","Terraform","Docker","Kubernetes","CI\u002FCD","CHF 115\u002Fh","12 Monate mit Option, Start Oktober 2026","Basel",50,"contracting","2026-06-05T11:28:20+00:00",{"id":36,"slug":37,"label":38},4,"data_analytics","Data & Analytics","Gesucht werden mehrere erfahrene Senior Data Science Engineer für Databricks\u002FAzure. Aufgaben umfassen Datenarchitektur-Design, ETL\u002FELT-Entwicklung, Data-Lake\u002FWarehouse-Betrieb und Data-Governance. Einsatz beim Kunden mit 40-60% Vor-Ort-Anteil.","Senior Data Science Engineer Databricks \u002F Azure (contract)\n\nProjekt-Nr.: A9177\n\nOrt: Basel\n\nPensum: 100%\n\nStart: Oktober 2026\n\nDauer: 12 Monate mit Option\n\nBranche: Dienstleistungsunternehmen\n\nTagessatz\u002FStundensatz: CHF 115\u002Fh\n\nBewerbungsschluss: 2026-06-15T12:00:00\n\nFür unseren Kunden suchen wir mehrere sehr erfahrenen Senior Data Science Engineer Databricks \u002F Azure wie folgt:\r\n\r\nHauptaufgaben:\r\nAnalysieren von Daten- und Prozessanforderungen sowie des technischen Umfelds und Ableiten funktionaler und nicht-funktionaler Systemanforderungen\r\nEntwerfen von Datenarchitekturen, Modellen und Schemas (relational, NoSQL, dimensional)\r\nEntwickeln, implementieren und warten von ETL\u002FELT-Prozessen, Streaming-Pipelines und Datenintegrations-Komponenten\r\nAufbauen und Betreiben von Data-Lakes, Data-Warehouses, Data-Marts und Lakehouse-Architekturen\r\nImplementieren von Data-Governance-Mechanismen (Datenschutz, Zugriffs- und Rollenmanagement, Qualitäts-Checks)\r\nZusammenarbeit mit Fachbereichen, Data Scientists und Applikations-Entwicklern zur Realisierung datengetriebener Lösungen\r\n\r\nMuss Anforderungen:\r\nAbgeschlossenes Studium in Informatik, Wirtschaftsinformatik, Data Science, Mathematik oder vergleichbar (Hochschule\u002FFachhochschule)\r\nSehr gute Kenntnisse in Python (Pandas, PySpark) und SQL; gute bis sehr gute Kenntnisse in MLOps\r\nErfahrung mit Big-Data-Frameworks (Azure Databricks, Unity Catalog, dbt, Apache Spark, Kafka)\r\nSehr gute Kenntnisse in relationalen (MS SQL Server, PostgreSQL, Oracle) und NoSQL-Datenbanken (MongoDB, Qdrant)\r\nKenntnisse in Cloud-Plattformen (Azure DevOps, Azure Synapse), IaC (Terraform), Containern (Docker, Kubernetes) und CI\u002FCD-Pipelines\r\nEs müssen zwei Referenzen angegeben werden\r\n\r\nWICHTIG:\r\nRemote-Regelung -> vor Ort beim Kunden 40-60% \u002F HomeOffice 40-60%, je nach Phase des Projektes \r\nEs werden Betreibungs- und Strafregister-Auszüge verlangt (wenn wohnhaft in Deutschland = SCHUFA-Auskunft und polizeiliches Führungszeugnis notwendig)\r\nZusätzlich spezielle Regelung zu Remote-Arbeit -> diese ist nur erlaubt innerhalb der CH betreffend interner Regulatorien\n\nAnsprechpartner: GHR Global Human Resources AG\nE-Mail: info@ghrgroup.ch\nTelefon: +41 41 760 49 46","Senior Data Science Engineer Databricks \u002F Azure","Für ein etabliertes Dienstleistungsunternehmen suchen wir mehrere erfahrene Senior Data Science Engineer mit Schwerpunkt Databricks und Azure.\n\nIn dieser Rolle analysieren Sie Daten- und Prozessanforderungen, leiten funktionale und nicht-funktionale Systemanforderungen ab und entwerfen Datenarchitekturen, Modelle und Schemas (relational, NoSQL, dimensional). Sie entwickeln, implementieren und warten ETL\u002FELT-Prozesse, Streaming-Pipelines und Datenintegrations-Komponenten. Zudem bauen und betreiben Sie Data-Lakes, Data-Warehouses, Data-Marts und Lakehouse-Architekturen. Ein wichtiger Aspekt ist die Implementierung von Data-Governance-Mechanismen einschliesslich Datenschutz, Zugriffs- und Rollenmanagement sowie Qualitäts-Checks. Sie arbeiten eng mit Fachbereichen, Data Scientists und Applikations-Entwicklern zusammen, um datengetriebene Lösungen zu realisieren.\n\nWir erwarten ein abgeschlossenes Studium in Informatik, Wirtschaftsinformatik, Data Science, Mathematik oder einem vergleichbaren Fachbereich. Sie verfügen über sehr gute Kenntnisse in Python (Pandas, PySpark) und SQL sowie gute bis sehr gute Kenntnisse in MLOps. Erfahrung mit Big-Data-Frameworks wie Azure Databricks, Unity Catalog, dbt, Apache Spark und Kafka ist erforderlich. Sehr gute Kenntnisse in relationalen Datenbanken (MS SQL Server, PostgreSQL, Oracle) und NoSQL-Datenbanken (MongoDB, Qdrant) sind notwendig. Kenntnisse in Cloud-Plattformen (Azure DevOps, Azure Synapse), Infrastructure as Code (Terraform), Containern (Docker, Kubernetes) und CI\u002FCD-Pipelines runden das Profil ab.\n\nDas Engagement ist auf 12 Monate mit Optionsverlängerung ausgelegt und startet im Oktober 2026. Die Arbeitsweise ist hybrid mit 40–60% vor Ort beim Kunden und 40–60% Home Office, je nach Projektphase. Remote-Arbeit ist innerhalb der Schweiz möglich.","de","A9177","https:\u002F\u002Fwww.ghrgroup.ch\u002Fen\u002Fvacancies\u002FA9177",{"items":47},[48,68,82,95,105,123,142,176,194,213,231,243,257,275,297],{"id":49,"slug":50,"title":51,"skills":52,"budget":63,"duration":63,"location":64,"onsitePercent":65,"contractType":33,"foundAt":66,"category":67},11230,"data-engineer-mwd-4","Data Engineer (m\u002Fw\u002Fd)",[53,54,55,56,57,58,15,11,59,60,61,62],"ETL\u002FELT","Azure","AWS","Azure Data Factory","Databricks","Power BI","API","Data Contracts","Medallion-Architektur","Business Intelligence",null,"Bielefeld",100,"2026-06-05T12:25:40+00:00",{"id":36,"slug":37,"label":38},{"id":69,"slug":70,"title":71,"skills":72,"budget":78,"duration":79,"location":63,"onsitePercent":63,"contractType":33,"foundAt":80,"category":81},11218,"azure-data-engineer-2","Azure Data Engineer",[54,73,74,75,76,11,77],"Data Engineering","Datenpipelines","Data Transformation","Performance-Optimierung","Englisch","VB","4 Monate, Start Juli 2026","2026-06-05T11:30:37+00:00",{"id":36,"slug":37,"label":38},{"id":83,"slug":84,"title":85,"skills":86,"budget":63,"duration":79,"location":63,"onsitePercent":63,"contractType":33,"foundAt":93,"category":94},11217,"power-bi-embedded-bi-engineer-data-analyst","Power BI \u002F Embedded BI Engineer \u002F Data Analyst",[58,87,88,89,90,91,92,76,77],"Embedded BI","Data Analyst","Datenmodellierung","Row-Level Security (RLS)","Dashboard-Entwicklung","Report-Entwicklung","2026-06-05T11:30:29+00:00",{"id":36,"slug":37,"label":38},{"id":96,"slug":97,"title":98,"skills":99,"budget":63,"duration":79,"location":63,"onsitePercent":63,"contractType":33,"foundAt":103,"category":104},11215,"python-data-processor","Python Data Processor",[8,100,101,102,76,77],"Datenverarbeitung","Datentransformation","ETL","2026-06-05T11:30:14+00:00",{"id":36,"slug":37,"label":38},{"id":106,"slug":107,"title":108,"skills":109,"budget":63,"duration":63,"location":119,"onsitePercent":32,"contractType":120,"foundAt":121,"category":122},11182,"analytics-engineer-mwd-bi-reporting-3","Analytics Engineer (m\u002Fw\u002Fd) BI & Reporting",[11,89,58,110,111,112,113,114,115,116,117,118],"SAC","Analytics Engineering","BI","Data Products","SAP","ERP-Daten","Semantische Datenmodelle","Datenqualität","Data Governance","Hannover","permanent","2026-06-05T10:26:42+00:00",{"id":36,"slug":37,"label":38},{"id":124,"slug":125,"title":126,"skills":127,"budget":63,"duration":138,"location":139,"onsitePercent":65,"contractType":33,"foundAt":140,"category":141},11011,"bi-architekt-mwd","BI-Architekt (m\u002Fw\u002Fd)",[128,129,130,131,132,133,134,135,136,137],"ISAQB","TOGAF9","Domain Driven Design","Enterprise Architecture Management","DWH-Architekturen","BI-Portalanwendungen","Requirements Engineering","Agile Entwicklungsmethoden","MS-Office","Softwarearchitektur","bis Ende Oktober","Nürnberg","2026-06-04T09:01:41+00:00",{"id":36,"slug":37,"label":38},{"id":143,"slug":144,"title":145,"skills":146,"budget":63,"duration":171,"location":172,"onsitePercent":173,"contractType":33,"foundAt":174,"category":175},10980,"senior-data-integration-engineer-brussels-80-remote-en-asap","Senior Data Integration Engineer (Brussels, 80% remote, EN, ASAP)",[147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170],".NET\u002FMicrosoft platform","Integration Framework","Scheduler Framework","Audit and Trace Framework","Monitoring Tools","REST","SOAP","XML","GraphQL","Messaging\u002FStreaming","Data Integration Layer","Unit Testing","Integration Testing","Continuous Integration","Distributed Architecture Patterns","Distributed Cache Patterns","Event Streaming","C#",".NET Core","Java XML","Oracle Data Service Integrator","Scrum","DevOps","Enterprise Application Integration","6 Monate, ab sofort, Verlängerung möglich","Brüssel",20,"2026-06-04T04:21:34+00:00",{"id":36,"slug":37,"label":38},{"id":177,"slug":178,"title":179,"skills":180,"budget":189,"duration":63,"location":190,"onsitePercent":191,"contractType":33,"foundAt":192,"category":193},10943,"snowflake-developer-india-remote","Snowflake Developer-India-Remote",[181,182,183,184,185,186,187,188],"Snowflake","DBT","Data Build Tool","Data Modeling","ELT Pipelines","Performance Tuning","Security Controls","Orchestration","Negotiable","New Delhi, India",0,"2026-06-03T23:00:29+00:00",{"id":36,"slug":37,"label":38},{"id":195,"slug":196,"title":197,"skills":198,"budget":63,"duration":209,"location":210,"onsitePercent":65,"contractType":33,"foundAt":211,"category":212},10896,"infrahub-data-architect-mwd","InfraHub Data Architect (m\u002Fw\u002Fd)",[199,55,53,200,118,201,27,28,202,203,204,205,206,207,208],"Data Architecture","Enterprise Architecture","Cloud-Plattformen","DevSecOps","Graph-Datenbanken","Neo4j","LLM","RAG","DSGVO","API-Integration","Start: 17.06.2026","Frankfurt","2026-06-03T14:35:49+00:00",{"id":36,"slug":37,"label":38},{"id":214,"slug":215,"title":216,"skills":217,"budget":63,"duration":227,"location":228,"onsitePercent":191,"contractType":33,"foundAt":229,"category":230},10869,"senior-python-data-monitoring-engineer-mfd","Senior Python Data & Monitoring Engineer (m\u002Ff\u002Fd)",[218,11,19,53,219,220,221,222,27,223,23,28,224,225,226],"Python 3.11+","Data Pipelines","Dashboarding","Python Dash","React-FastAPI","Helm","Report Generation","English","German","6 Monate, Start 01.07.2026","Berlin","2026-06-03T13:45:30+00:00",{"id":36,"slug":37,"label":38},{"id":232,"slug":233,"title":234,"skills":235,"budget":63,"duration":240,"location":63,"onsitePercent":191,"contractType":33,"foundAt":241,"category":242},10861,"daten-manager","Daten Manager",[236,117,237,238,239,77],"Datenmanagement","Systemmigration","Daten-Mapping","Deutsch","6 Monate+, Start 01.07.2026","2026-06-03T13:30:29+00:00",{"id":36,"slug":37,"label":38},{"id":244,"slug":245,"title":246,"skills":247,"budget":78,"duration":254,"location":63,"onsitePercent":191,"contractType":33,"foundAt":255,"category":256},10859,"sybase-ase-spezialist","Sybase ASE Spezialist",[248,249,250,251,252,253],"Sybase ASE","SQL Anywhere","Datenbank-Migration","Performance-Tuning","Legacy-Umgebungen","Datenbank-Architektur","4 Wochen","2026-06-03T13:30:15+00:00",{"id":36,"slug":37,"label":38},{"id":258,"slug":259,"title":260,"skills":261,"budget":63,"duration":270,"location":271,"onsitePercent":272,"contractType":33,"foundAt":273,"category":274},10838,"data-analyst-ms-fabric-mwd","Data Analyst – MS Fabric (m\u002Fw\u002Fd)",[262,58,263,264,265,266,8,11,89,267,268,269],"Microsoft Fabric","Lakehouse","Dataflows Gen2","Notebooks","DAX","Projektmanagement","AI\u002FML-Funktionalitäten","Git","22.06.2026 - 31.12.2026","Frankfurt am Main",5,"2026-06-03T13:15:28+00:00",{"id":36,"slug":37,"label":38},{"id":276,"slug":277,"title":278,"skills":279,"budget":63,"duration":292,"location":293,"onsitePercent":65,"contractType":294,"foundAt":295,"category":296},10833,"data-component-quality-lead-mwd","Data Component Quality Lead (m\u002Fw\u002Fd)",[280,118,281,282,283,284,285,286,287,288,289,290,291],"Datenqualitätsmanagement","Datenarchitekturen","Apache Kafka","ClickHouse","Data-Mesh-Konzepte","Testmethoden für Datenpipelines","ISO 27001","Compliance","Informationssicherheit","Analytische Fähigkeiten","Stakeholder-Management","Fehlerbehebung","12 Monate mit Option auf Übernahme","München","temp_work","2026-06-03T12:46:01+00:00",{"id":36,"slug":37,"label":38},{"id":298,"slug":299,"title":300,"skills":301,"budget":63,"duration":315,"location":316,"onsitePercent":191,"contractType":33,"foundAt":317,"category":318},10828,"data-platform-architect-aws-sap-focus","Data Platform Architect (AWS + SAP Focus)",[302,303,304,305,306,307,308,309,310,73,199,311,312,118,313,314,225],"AWS data platforms","AWS S3","AWS Glue","AWS Redshift","AWS Athena","AWS Lake Formation","AWS EMR","SAP BW","SAP Datasphere","Enterprise Data Platforms","Data Lakes","Data Security","Metadata Management","6 Monate","India","2026-06-03T12:27:14+00:00",{"id":36,"slug":37,"label":38}]