[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-data-engineer-mwd-4":3,"similar-data-engineer-mwd-4":35},{"id":4,"slug":5,"title":6,"skills":7,"budget":20,"duration":20,"location":21,"onsitePercent":22,"contractType":23,"foundAt":24,"category":25,"description":29,"rawText":30,"webTitle":6,"webText":31,"language":32,"projectId":33,"sourceUrl":34},11230,"data-engineer-mwd-4","Data Engineer (m\u002Fw\u002Fd)",[8,9,10,11,12,13,14,15,16,17,18,19],"ETL\u002FELT","Azure","AWS","Azure Data Factory","Databricks","Power BI","dbt","SQL","API","Data Contracts","Medallion-Architektur","Business Intelligence",null,"Bielefeld",100,"contracting","2026-06-05T12:25:40+00:00",{"id":26,"slug":27,"label":28},4,"data_analytics","Data & Analytics","Entwicklung und Pflege von ETL\u002FELT-Pipelines in Azure oder AWS Cloud-Umgebungen mit Fokus auf Datenvalidierung, Monitoring und Medallion-Architektur. Aufbau skalierbarer Datenarchitekturen und semantischer Datenmodelle mit Tools wie Azure Data Factory, Databricks, Power BI und dbt.","Data Engineer (m\u002Fw\u002Fd)\nProjektnummer: FE88-91435-BI\nStandort: Bielefeld, Nordrhein-Westfalen\nArbeitsweise: Vor Ort\nLaufzeit: Keine Angabe\nStartdatum: Keine Angabe\n\nDein Aufgabengebiet:\n- Entwicklung und Pflege von ETL\u002FELT-Pipelines in Azure oder AWS Cloud-Umgebungen \n\n- Überwachung und Optimierung von Datenverarbeitungsprozessen mit Tools wie Azure Data Factory, Databricks, Synapse \n\n- Umsetzung von Datenvalidierungen sowie Monitoring mittels Power BI, dbt oder ähnlichen Lösungen \n\n- Aufbau und Pflege robuster Data Contracts für stabile Schnittstellen \n\n- Gestaltung und Weiterentwicklung der Medallion-Architektur (Bronze\u002FSilver\u002FGold Layer) \n\n- Integration externer Systeme durch Anbindung von REST-APIs oder SQL-Schnittstellen \n\n- Erstellung semantischer Datenmodelle mit Hilfe von Power BI oder Analysis Services \n\n- Zusammenarbeit mit BI Consultants:in und Entwickler:innen zur Bereitstellung konsistenter Datenprodukte\n\nDas bringst du mit:\n- Abgeschlossenes Studium in Informatik, Wirtschaftsinformatik oder vergleichbare Qualifikation \n\n- Praxiserfahrung im Design von ETL\u002FELT-Prozessen in Cloud-Plattformen wie Azure oder AWS \n\n- Kenntnisse im Umgang mit Tools wie Azure Data Factory, Databricks, dbt, Power BI\n\n- Erfahrung im Aufbau skalierbarer Datenarchitekturen nach dem Medallion-Prinzip\n\n- Vertrautheit mit API-Anbindungen und Schnittstellenmanagement\n\n- Know-how in der Definition und Kontrolle stabiler Data Contracts\n\n- Fähigkeit zum Aufbau semantischer Modelle für analytische Zwecke\n\n- Erfahrung in interdisziplinärer Teamarbeit im Bereich Business Intelligence\n\nSkills: API, AWS, Analysis, Architektur, Azure, Business Intelligence, Cloud, Datenmodelle, Design, ETL, Entwicklung, Informatik, Integration, Kontrolle, Monitoring, Optimierung, Power BI, SQL, Umsetzung, Wirtschaftsinformatik\n\nAnsprechpartner:\nFranziska Dahlhaus\nJunior Talent Acquisition Specialist\nFERCHAU GmbH, Niederlassung Bielefeld\nHerforder Straße 195\n33609 Bielefeld\n+49 521 560664-0\nbielefeld@ferchau.com","Wir suchen einen erfahrenen Data Engineer zur Verstärkung unseres Teams am Standort Bielefeld. In dieser Rolle entwickeln und pflegen Sie ETL\u002FELT-Pipelines in modernen Cloud-Umgebungen wie Azure oder AWS. Sie sind verantwortlich für die Überwachung und Optimierung von Datenverarbeitungsprozessen und setzen dabei Tools wie Azure Data Factory, Databricks und Synapse ein.\n\nIhre Aufgaben umfassen die Implementierung von Datenvalidierungen und Monitoring-Lösungen mittels Power BI oder dbt, den Aufbau robuster Data Contracts für stabile Schnittstellen sowie die Gestaltung und Weiterentwicklung einer Medallion-Architektur (Bronze\u002FSilver\u002FGold Layer). Sie integrieren externe Systeme durch REST-APIs oder SQL-Schnittstellen und erstellen semantische Datenmodelle mit Power BI oder Analysis Services. Dabei arbeiten Sie eng mit BI-Consultants und Entwicklern zusammen, um konsistente Datenprodukte bereitzustellen.\n\nSie bringen ein abgeschlossenes Studium in Informatik, Wirtschaftsinformatik oder eine vergleichbare Qualifikation mit. Praktische Erfahrung im Design von ETL\u002FELT-Prozessen in Cloud-Plattformen ist erforderlich. Sie verfügen über fundierte Kenntnisse in Azure Data Factory, Databricks, dbt und Power BI sowie Erfahrung beim Aufbau skalierbarer Datenarchitekturen nach dem Medallion-Prinzip. Vertrautheit mit API-Anbindungen, Schnittstellenmanagement und der Definition stabiler Data Contracts runden Ihr Profil ab. Darüber hinaus können Sie semantische Modelle für analytische Zwecke aufbauen und arbeiten gerne interdisziplinär im Business-Intelligence-Umfeld.\n\nDie Position ist vor Ort in Bielefeld zu besetzen.","de","FE88-91435-BI","https:\u002F\u002Ftouch.ferchau.com\u002Fde\u002Fde\u002Fprojekt\u002F500563",{"items":36},[37,54,70,82,94,103,130,147,166,200,218,237,255,266,280],{"id":38,"slug":39,"title":40,"skills":41,"budget":20,"duration":50,"location":51,"onsitePercent":20,"contractType":23,"foundAt":52,"category":53},11262,"python-data-processor-mwd","Python Data Processor (m\u002Fw\u002Fd)",[42,43,44,45,46,47,48,49],"Python","Datenverarbeitung","Daten-Transformationen","Geo-\u002FAdressdaten","Data Preparation","Analytics","Performance-Optimierung","Englisch","sofort","Baden-Württemberg","2026-06-05T13:05:46+00:00",{"id":26,"slug":27,"label":28},{"id":55,"slug":56,"title":57,"skills":58,"budget":20,"duration":20,"location":67,"onsitePercent":20,"contractType":23,"foundAt":68,"category":69},11257,"power-bi-migration-specialist-mwd","Power BI Migration Specialist (m\u002Fw\u002Fd)",[13,59,60,48,15,61,62,63,64,65,66,49],"DAX","Datenmodellierung","PL-SQL","T-SQL","Azure Synapse","Azure Databricks","Data-Warehouse-Modellierung","Deutsch","Hannover","2026-06-05T12:35:59+00:00",{"id":26,"slug":27,"label":28},{"id":71,"slug":72,"title":73,"skills":74,"budget":78,"duration":79,"location":20,"onsitePercent":20,"contractType":23,"foundAt":80,"category":81},11218,"azure-data-engineer-2","Azure Data Engineer",[9,75,76,77,48,15,49],"Data Engineering","Datenpipelines","Data Transformation","VB","4 Monate, Start Juli 2026","2026-06-05T11:30:37+00:00",{"id":26,"slug":27,"label":28},{"id":83,"slug":84,"title":85,"skills":86,"budget":20,"duration":79,"location":20,"onsitePercent":20,"contractType":23,"foundAt":92,"category":93},11217,"power-bi-embedded-bi-engineer-data-analyst","Power BI \u002F Embedded BI Engineer \u002F Data Analyst",[13,87,88,60,89,90,91,48,49],"Embedded BI","Data Analyst","Row-Level Security (RLS)","Dashboard-Entwicklung","Report-Entwicklung","2026-06-05T11:30:29+00:00",{"id":26,"slug":27,"label":28},{"id":95,"slug":96,"title":97,"skills":98,"budget":20,"duration":79,"location":20,"onsitePercent":20,"contractType":23,"foundAt":101,"category":102},11215,"python-data-processor","Python Data Processor",[42,43,99,100,48,49],"Datentransformation","ETL","2026-06-05T11:30:14+00:00",{"id":26,"slug":27,"label":28},{"id":104,"slug":105,"title":106,"skills":107,"budget":124,"duration":125,"location":126,"onsitePercent":127,"contractType":23,"foundAt":128,"category":129},11214,"senior-data-science-engineer-databricks-azure-contract","Senior Data Science Engineer Databricks \u002F Azure (contract)",[42,108,109,15,110,64,111,14,112,113,114,115,116,117,118,119,63,120,121,122,123],"Pandas","PySpark","MLOps","Unity Catalog","Apache Spark","Kafka","MS SQL Server","PostgreSQL","Oracle","MongoDB","Qdrant","Azure DevOps","Terraform","Docker","Kubernetes","CI\u002FCD","CHF 115\u002Fh","12 Monate mit Option, Start Oktober 2026","Basel",50,"2026-06-05T11:28:20+00:00",{"id":26,"slug":27,"label":28},{"id":131,"slug":132,"title":133,"skills":134,"budget":20,"duration":20,"location":67,"onsitePercent":127,"contractType":144,"foundAt":145,"category":146},11182,"analytics-engineer-mwd-bi-reporting-3","Analytics Engineer (m\u002Fw\u002Fd) BI & Reporting",[15,60,13,135,136,137,138,139,140,141,142,143],"SAC","Analytics Engineering","BI","Data Products","SAP","ERP-Daten","Semantische Datenmodelle","Datenqualität","Data Governance","permanent","2026-06-05T10:26:42+00:00",{"id":26,"slug":27,"label":28},{"id":148,"slug":149,"title":150,"skills":151,"budget":20,"duration":162,"location":163,"onsitePercent":22,"contractType":23,"foundAt":164,"category":165},11011,"bi-architekt-mwd","BI-Architekt (m\u002Fw\u002Fd)",[152,153,154,155,156,157,158,159,160,161],"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":26,"slug":27,"label":28},{"id":167,"slug":168,"title":169,"skills":170,"budget":20,"duration":195,"location":196,"onsitePercent":197,"contractType":23,"foundAt":198,"category":199},10980,"senior-data-integration-engineer-brussels-80-remote-en-asap","Senior Data Integration Engineer (Brussels, 80% remote, EN, ASAP)",[171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194],".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":26,"slug":27,"label":28},{"id":201,"slug":202,"title":203,"skills":204,"budget":213,"duration":20,"location":214,"onsitePercent":215,"contractType":23,"foundAt":216,"category":217},10943,"snowflake-developer-india-remote","Snowflake Developer-India-Remote",[205,206,207,208,209,210,211,212],"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":26,"slug":27,"label":28},{"id":219,"slug":220,"title":221,"skills":222,"budget":20,"duration":233,"location":234,"onsitePercent":22,"contractType":23,"foundAt":235,"category":236},10896,"infrahub-data-architect-mwd","InfraHub Data Architect (m\u002Fw\u002Fd)",[223,10,8,224,143,225,122,123,226,227,228,229,230,231,232],"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":26,"slug":27,"label":28},{"id":238,"slug":239,"title":240,"skills":241,"budget":20,"duration":251,"location":252,"onsitePercent":215,"contractType":23,"foundAt":253,"category":254},10869,"senior-python-data-monitoring-engineer-mfd","Senior Python Data & Monitoring Engineer (m\u002Ff\u002Fd)",[242,15,115,8,243,244,245,246,122,247,119,123,248,249,250],"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":26,"slug":27,"label":28},{"id":256,"slug":257,"title":258,"skills":259,"budget":20,"duration":263,"location":20,"onsitePercent":215,"contractType":23,"foundAt":264,"category":265},10861,"daten-manager","Daten Manager",[260,142,261,262,66,49],"Datenmanagement","Systemmigration","Daten-Mapping","6 Monate+, Start 01.07.2026","2026-06-03T13:30:29+00:00",{"id":26,"slug":27,"label":28},{"id":267,"slug":268,"title":269,"skills":270,"budget":78,"duration":277,"location":20,"onsitePercent":215,"contractType":23,"foundAt":278,"category":279},10859,"sybase-ase-spezialist","Sybase ASE Spezialist",[271,272,273,274,275,276],"Sybase ASE","SQL Anywhere","Datenbank-Migration","Performance-Tuning","Legacy-Umgebungen","Datenbank-Architektur","4 Wochen","2026-06-03T13:30:15+00:00",{"id":26,"slug":27,"label":28},{"id":281,"slug":282,"title":283,"skills":284,"budget":20,"duration":292,"location":293,"onsitePercent":294,"contractType":23,"foundAt":295,"category":296},10838,"data-analyst-ms-fabric-mwd","Data Analyst – MS Fabric (m\u002Fw\u002Fd)",[285,13,286,287,288,59,42,15,60,289,290,291],"Microsoft Fabric","Lakehouse","Dataflows Gen2","Notebooks","Projektmanagement","AI\u002FML-Funktionalitäten","Git","22.06.2026 - 31.12.2026","Frankfurt am Main",5,"2026-06-03T13:15:28+00:00",{"id":26,"slug":27,"label":28}]