[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-senior-data-engineer-mwd":3,"similar-senior-data-engineer-mwd":32},{"id":4,"slug":5,"title":6,"skills":7,"budget":18,"duration":19,"location":20,"onsitePercent":21,"contractType":22,"foundAt":23,"category":24,"description":28,"rawText":29,"language":30,"projectId":18,"sourceUrl":31},3523,"senior-data-engineer-mwd","Senior Data Engineer (m\u002Fw\u002Fd)",[8,9,10,11,12,13,14,15,16,17],"Azure Databricks","Unity Catalog","PySpark","Delta Lake","Data Pipelines","GitLab CI\u002FCD","GitHub Actions","Declarative Automation Bundles","Data Contracts","Cloud-Architekturen",null,"15 Monate","Cologne",50,"contracting","2026-05-18T17:10:52+00:00",{"id":25,"slug":26,"label":27},4,"data_analytics","Data & Analytics","Weiterentwicklung einer Analytics Plattform zu einem Lakehouse mit Azure Databricks. Migration der Plattform in einen neuen Azure Tenant und technische Anbindung weiterer IT-Systeme. Implementierung von Entwicklungsprozessen und Migration bestehender Assets.","Senior Data Engineer (m\u002Fw\u002Fd)\n\nOrt: Cologne, Deutschland\n\nArbeitsform: Hybrid\n\nBereich: Data & Analytics\n\nStart: ASAP\n\nDauer: > 12 months\n\nWir, die emagine GmbH, suchen für unsere Business Unit Insurance einen erfahrenen Senior Data Engineer, der eine entscheidende Rolle bei der Weiterentwicklung einer Analytics Plattform spielt. Der ideale Kandidat bringt ein tiefes Verständnis für Azure Databricks mit und hat Erfahrung in der Erstellung resilienter Data-Pipelines sowie in der Administration von Databricks Workspaces.Rahmendaten:Start: asapDauer: 15 MonateEinsatzort: Köln \u002F remoteAufgabenUnterstützung bei der Weiterentwicklung der Plattform zu einem Lakehouse.Mitarbeit an der Migration der Plattform in einen neuen Azure Tenant.Technische Anbindung von weiteren IT-Systemen.Implementierung von Entwicklungsprozessen für Lakehouse-Entwickler.Automatische Bereitstellung von Berechtigungsgruppen und Monitoring-Dashboards.Migration von bestehenden Assets, Daten und Daten-Pipelines.Integration von GitLab CI\u002FCD zu GitHub Actions.Abbau der Cloud Ressourcen im alten Azure Tenant.AnorderungenTiefes Verständnis von Berechtigungsstrukturen innerhalb von Databricks mit Unity Catalog.Erfahrung bei dem Design und der Administration von Databricks Workspaces.Entwicklung von resilienten Data-Pipelines mit PySpark inkl. Testautomatisierung, Packaging und Deployment mit Declarative Automation Bundles (DAB).Kenntnisse von Data Contracts.Partitionierung von Daten in Delta Lake.Erfahrung mit GitLab CI\u002FCD und\u002Foder GitHub Actions.Wünschenswerte FähigkeitenErfahrung in der Implementierung von Daten-Ingest und Transformationen.Kenntnisse im Bereich Cloud-Architekturen und -Technologien.Vertrautheit mit AI-Systemen und deren Hosting.\n\nAnsprechpartner: Andreas Michler\n\nE-Mail: andreas.michler@emagine.de\n\nTel: +49 211 863266-06","de","https:\u002F\u002Fportal.emagine.org\u002Fjobs\u002F176506",{"items":33},[34,49,69,85,100],{"id":35,"slug":36,"title":37,"skills":38,"budget":43,"duration":44,"location":45,"onsitePercent":46,"contractType":22,"foundAt":47,"category":48},4900,"product-manager-data-analytics","Product Manager Data & Analytics",[27,39,40,41,42],"Product Management","AI","Danish","English","Negotiable","6 Monate mit Verlängerungsmöglichkeit","Copenhagen",60,"2026-05-20T15:45:28+00:00",{"id":25,"slug":26,"label":27},{"id":50,"slug":51,"title":52,"skills":53,"budget":18,"duration":65,"location":66,"onsitePercent":18,"contractType":22,"foundAt":67,"category":68},4835,"data-solution-architect-delivery-lead-mfd","Data \u002F Solution Architect (Delivery Lead) (m\u002Ff\u002Fd)",[54,55,56,57,58,59,60,61,62,63,64],"Data Architecture","Solution Architecture","Treasury","MS SQL Server","SSAS","Databricks","Microsoft Azure","Data Modeling","Kimball","Lakehouse","Stakeholder Management","Start: 06\u002F26","Vienna","2026-05-20T13:21:14+00:00",{"id":25,"slug":26,"label":27},{"id":70,"slug":71,"title":72,"skills":73,"budget":18,"duration":18,"location":66,"onsitePercent":18,"contractType":22,"foundAt":83,"category":84},4834,"data-governance-data-quality-engineer-mfd","Data Governance & Data Quality Engineer (m\u002Ff\u002Fd)",[74,75,76,77,78,79,80,81,82],"Data governance frameworks","DAMA","GDPR","Databricks Unity Catalog","Data lineage tools","Data validation frameworks","SQL","Testing tools","Azure","2026-05-20T13:21:07+00:00",{"id":25,"slug":26,"label":27},{"id":86,"slug":87,"title":88,"skills":89,"budget":18,"duration":18,"location":18,"onsitePercent":97,"contractType":22,"foundAt":98,"category":99},4832,"data-engineer-nearshore-german-speaking-mfd","Data Engineer (Nearshore - German speaking) (m\u002Ff\u002Fd)",[80,90,91,92,93,94,95,96],"DBT","Python","Data Warehousing","ETL","Snowflake","Apache Airflow","Data Pipeline Orchestration",0,"2026-05-20T13:20:53+00:00",{"id":25,"slug":26,"label":27},{"id":101,"slug":102,"title":103,"skills":104,"budget":113,"duration":114,"location":115,"onsitePercent":97,"contractType":22,"foundAt":116,"category":117},4826,"100-remote-data-engineer-ms-azure-python-mwd","100% remote: Data Engineer – MS Azure \u002F Python (m\u002Fw\u002Fd)",[91,105,106,107,108,109,110,111,112],"Azure Synapse","Microsoft Fabric","FastAPI","Data Engineering","API-Entwicklung","Power BI","Scrum","Kanban","Verhandelbar","2026 (140 Personentage)","Berlin","2026-05-20T13:05:35+00:00",{"id":25,"slug":26,"label":27}]