[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-senior-data-engineer":3,"similar-senior-data-engineer":33},{"id":4,"slug":5,"title":6,"skills":7,"budget":19,"duration":20,"location":21,"onsitePercent":19,"contractType":22,"foundAt":23,"category":24,"description":28,"rawText":29,"language":30,"projectId":31,"sourceUrl":32},2444,"senior-data-engineer","Senior Data Engineer",[8,9,10,11,12,13,14,15,16,17,18],"Azure Databricks","Unity Catalog","PySpark","Delta Lake","Declarative Automation Bundles","Data Contracts","CI\u002FCD","GitLab CI\u002FCD","GitHub Actions","Testautomatisierung","Datenpartitionierung",null,"ca 15 Monate","Köln","contracting","2026-05-13T13:05:11+00:00",{"id":25,"slug":26,"label":27},4,"data_analytics","Data & Analytics","Weiterentwicklung einer Azure Databricks Lakehouse-Plattform für einen deutschen Versicherungskonzern. Migration komplexer Datenpipelines in die neue Azure-Umgebung im Rahmen einer IT-Transformations-Roadmap. Entwicklung resilienter PySpark-Datenpipelines und Administration von Databricks Workspaces.","Senior Data Engineer\n\nBeginn: a.s.a.p. \u002F Dauer: ca 15 Monate \u002F Ort: Köln \u002F Remote \u002F Projekt-ID: 5388\n\nUnser Kunde ist ein führender deutscher Versicherungskonzern und treibt im Rahmen einer Merger-bedingten IT-Transformations-Roadmap den Aufbau einer modernen Azure-Cloud-Plattform voran. Als Senior Data Engineer verantworten Sie die Weiterentwicklung der Lakehouse-Plattform und die Migration komplexer Datenpipelines in die neue Azure-Umgebung.\n\nIhre Aufgaben:\n\n- Weiterentwicklung der Azure Databricks Plattform zu einem Lakehouse unter Berücksichtigung von Data Products und Data Contracts\n- Design und Administration von Databricks Workspaces inkl. Berechtigungsstrukturen mit Unity Catalog\n- Entwicklung resilienter Datenpipelines mit PySpark inkl. Testautomatisierung und Packaging\n- Deployment und Verwaltung von Databricks Assets mit Declarative Automation Bundles DABs\n- Implementierung von Datenpartitionierung in Delta Lake sowie Sicherstellung von Datenqualität\n- Migration bestehender Datenpipelines und Daten in den neuen Azure Tenant\nIhr Profil:\n\n- Tiefes Verständnis von Berechtigungsstrukturen in Azure Databricks mit Unity Catalog\n- Erfahrung im Design und der Administration von Databricks Workspaces\n- Praxiserfahrung in der Entwicklung resilienter PySpark-Datenpipelines inkl. Testautomatisierung\n- Kenntnisse in Declarative Automation Bundles DABs sowie Data Contracts\n- Erfahrung mit Datenpartitionierung und Datenspeicherung in Delta Lake\n- Erfahrung mit CI\u002FCD-Pipelines GitLab CI\u002FCD und\u002Foder GitHub Actions\n- Sehr gute Deutschkenntnisse\n- Diese Position dürfen wir ausschließlich in Arbeitnehmerüberlassung besetzen\nWir freuen uns auf Ihre Bewerbung oder ggf. Ihre Empfehlung eines geeigneten Kollegen. Bitte senden Sie Ihr aktuelles Profil in Deutsch oder Englisch an\n\nTim Lemmermann\nRecruitment & Talent Akquisition\n25 Jahre Best in Class IT Recruitment\n\nE-Mail: tim.lemmermann@varius-it.com tim.lemmermann@varius-it.com\nwww.varius-it.com\n\n| VARIUS IT GmbH & Co. KG | An der Alster 62 | D-20099 Hamburg | HRA 100607 AG Hamburg | Geschäftsführer: Matthias Feddersen |","de","5388","https:\u002F\u002Fwww.varius-it.com\u002Fprojektangebote?tx_variusitprojects_projectlist%5Baction%5D=show&tx_variusitprojects_projectlist%5Bcontroller%5D=Project&tx_variusitprojects_projectlist%5BpluginUid%5D=20&tx_variusitprojects_projectlist%5BprojectID%5D=5388&cHash=6a74b4950533aee96efbfd447077c1ef&type=482675",{"items":34},[35,50,70,86,101],{"id":36,"slug":37,"title":38,"skills":39,"budget":44,"duration":45,"location":46,"onsitePercent":47,"contractType":22,"foundAt":48,"category":49},4900,"product-manager-data-analytics","Product Manager Data & Analytics",[27,40,41,42,43],"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":51,"slug":52,"title":53,"skills":54,"budget":19,"duration":66,"location":67,"onsitePercent":19,"contractType":22,"foundAt":68,"category":69},4835,"data-solution-architect-delivery-lead-mfd","Data \u002F Solution Architect (Delivery Lead) (m\u002Ff\u002Fd)",[55,56,57,58,59,60,61,62,63,64,65],"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":71,"slug":72,"title":73,"skills":74,"budget":19,"duration":19,"location":67,"onsitePercent":19,"contractType":22,"foundAt":84,"category":85},4834,"data-governance-data-quality-engineer-mfd","Data Governance & Data Quality Engineer (m\u002Ff\u002Fd)",[75,76,77,78,79,80,81,82,83],"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":87,"slug":88,"title":89,"skills":90,"budget":19,"duration":19,"location":19,"onsitePercent":98,"contractType":22,"foundAt":99,"category":100},4832,"data-engineer-nearshore-german-speaking-mfd","Data Engineer (Nearshore - German speaking) (m\u002Ff\u002Fd)",[81,91,92,93,94,95,96,97],"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":102,"slug":103,"title":104,"skills":105,"budget":114,"duration":115,"location":116,"onsitePercent":98,"contractType":22,"foundAt":117,"category":118},4826,"100-remote-data-engineer-ms-azure-python-mwd","100% remote: Data Engineer – MS Azure \u002F Python (m\u002Fw\u002Fd)",[92,106,107,108,109,110,111,112,113],"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}]