[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-data-engineer-mwd-3":3,"similar-data-engineer-mwd-3":34},{"id":4,"slug":5,"title":6,"skills":7,"budget":19,"duration":20,"location":21,"onsitePercent":22,"contractType":23,"foundAt":24,"category":25,"description":29,"rawText":30,"language":31,"projectId":32,"sourceUrl":33},5270,"data-engineer-mwd-3","Data Engineer (m\u002Fw\u002Fd)",[8,9,10,11,12,13,14,15,16,17,18],"Python","pandas","SQL","PySpark","Apache Kafka","Apache NiFi","ETL\u002FELT","Data Warehouses","Data Lakes","Docker","Kubernetes","70.000-120.000 EUR p.a.",null,"Berlin",10,"permanent","2026-05-21T16:36:44+00:00",{"id":26,"slug":27,"label":28},4,"data_analytics","Data & Analytics","Data Engineer Position für den Aufbau und die Optimierung von Datenpipelines in einem Data Lakehouse. Entwicklung von ETL\u002FELT-Pipelines mit Python, Streaming-Lösungen mit Kafka und Datenintegration mit Apache NiFi. Remote-first Position mit gelegentlichen Team-Meetings in Berlin.","-\n-\n-\n-\n-\n-\nData Engineer (m\u002Fw\u002Fd)\n\nBerlin\n\nData Engineer (m\u002Fw\u002Fd)\n\nData Engineer (m\u002Fw\u002Fd)\n\nStandort: Remote in DeutschlandAnstellung: Vollzeit (40 Std.\u002FWoche)Erfahrung: ab 3 Jahren BerufserfahrungGehalt: 70.000–120.000 € (je nach Erfahrung und Level)\n\nÜber die Rolle\n\nIn dieser Rolle gestaltest Du die technische Basis, auf der moderne Datenprodukte entstehen. Du arbeitest an der Entwicklung und Optimierung von Datenpipelines, die Daten aus verschiedenen Quellen effizient, sicher und nachvollziehbar in ein Data Lakehouse überführen. Dein Beitrag legt das Fundament für alle weiteren Teams, von Analytics bis Machine Learning.\n\nDeine Aufgaben\n\n- Aufbau und Pflege von ETL-\u002FELT-Pipelines in Python (insbesondere mit pandas und PySpark)\n- Entwicklung und Optimierung von Streaming-Lösungen auf Basis von Kafka\n- Nutzung von Apache NiFi zur Datenintegration und Automatisierung von Workflows\n- Implementierung von Data Quality Checks und Monitoring\n- Datenmodellierung (relational, zeitbasiert, graphorientiert) und Arbeit mit Data Lakes bzw. Data Warehouses\n- Zusammenarbeit mit Analysten, Data Scientists und Entwicklern, um skalierbare Datenlösungen bereitzustellen\n- Optional: Einsatz von Apache Hudi, Ozone oder ähnlichen Tools zur Versionierung und Nachvollziehbarkeit\n- Dokumentation, Testing und kontinuierliche Verbesserung bestehender Prozesse\n\nDein Profil\n\n- Mindestens 3 Jahre Erfahrung als Data Engineer (ein duales Studium wird mitgezählt)\n- Exzellente Kenntnisse in Python, pandas und SQL\n- Erfahrung mit Datenintegrationstools (z. B. Apache NiFi, Airbyte oder Fivetran)\n- Erste Berührung mit Data Warehouses oder Data Lakes\n- Erfahrung mit Streaming-Technologien (Kafka, PySpark, o. ä.)\n- Docker und Kubernetes sind kein Muss, aber ein Plus\n- Verständnis für Graphdatenbanken ist wünschenswert\n- Abgeschlossenes Studium in einem technischen Bereich (nicht zwingend Informatik)\n- Du bist lösungsorientiert, arbeitest selbstständig und bringst Begeisterung für neue Technologien mit\n- Startup-Mentalität und Hands-on-Mentalität sind genau Dein Ding\n\nRahmenbedingungen\n\n- Remote-first mit gelegentlichen Team-Meetings in Berlin\n- Flexible Arbeitszeiten\n- 30 Urlaubstage\n- Moderne Technologie-Stack & spannende Projekte\n- Flache Hierarchien und direkter Austausch mit erfahrenen Engineers\n- Möglichkeit, mit neuesten Technologien (Apache, Kafka, Hudi, PySpark etc.) zu arbeiten\n\nHaben wir dein Interesse geweckt? Dann melde dich doch gern direkt bei mir:Constantin ClodiusMobil: +49 170 3660753E-Mail: E-Mail: c.clodius@zabelglobal.com c.clodius@zabelglobal.com\n\nExpertise\n\nData Engineering\nSkills\n\nApache KafkaPySparkSQLPandas\nLocation\n\nShare\n\n- LinkedIn\n- X (Twitter)\n- Facebook\n- WhatsApp\n-\nJob Reference\n\n3483\n\nDate Posted\n\n6 November 2025\n\nIndustry\n\nTechnology - SaaS (Software as a Service)\n\nEmployment\n\nPermanent\n\nWorking Location\n\nRemote\n\nLevel\n\nSenior\n\nExperience\n\n3 years\n\nCompensation\n\n€ 120.000 p.a.\n\nLanguage\n\nEnglish, German\n\nConstantin Clodius\n\nConsultant\n\n+49 170 3660753\n\nE-Mail: c.clodius@zabelglobal.com c.clodius@zabelglobal.com\n\nhttps:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fconstantin-clodius\u002F\n\nCONTACT US\n\nCONTACT OUR TEAM","de","3483","https:\u002F\u002Fwww.zabelglobal.com\u002Fjobs\u002F3483-data-engineer-m-w-d",{"items":35},[36,54,71,83,106,126,142,156,175,189,206,221,229,242,255],{"id":37,"slug":38,"title":39,"skills":40,"budget":50,"duration":20,"location":21,"onsitePercent":51,"contractType":23,"foundAt":52,"category":53},5275,"data-engineer-wdm","Data Engineer (w\u002Fd\u002Fm)",[10,8,41,42,43,44,45,46,47,48,49],"Java","PostgreSQL","dbt","Airflow","Data Warehousing","ETL","GCP","Datenmodellierung","Data Engineering","80.000 - 100.000 EUR p.a.",0,"2026-05-21T16:37:12+00:00",{"id":26,"slug":27,"label":28},{"id":55,"slug":56,"title":57,"skills":58,"budget":50,"duration":20,"location":21,"onsitePercent":51,"contractType":23,"foundAt":69,"category":70},5274,"product-owner-data-analyst-wdm","Product Owner \u002F Data Analyst (w\u002Fd\u002Fm)",[10,59,60,8,61,62,63,64,65,66,67,68],"Product Owner","Data Analytics","Jira","Confluence","Bitbucket","Scrum","Prozessmodellierung","DSGVO","DORA","BAIT","2026-05-21T16:37:07+00:00",{"id":26,"slug":27,"label":28},{"id":72,"slug":73,"title":74,"skills":75,"budget":80,"duration":20,"location":21,"onsitePercent":51,"contractType":23,"foundAt":81,"category":82},5272,"data-engineer-go-apis-mwd","Data Engineer (Go \u002F APIs) (m\u002Fw\u002Fd)",[76,77,49,17,18,78,79],"Golang","REST-API","Kafka","PySparkREST-API","80.000-120.000 EUR p.a.","2026-05-21T16:36:54+00:00",{"id":26,"slug":27,"label":28},{"id":84,"slug":85,"title":86,"skills":87,"budget":99,"duration":100,"location":101,"onsitePercent":102,"contractType":103,"foundAt":104,"category":105},5259,"business-analyst-real-estate-management-sql-api-etl-powerbi-tableau","Business Analyst – Real Estate Management SQL API ETL PowerBI Tableau",[88,10,89,46,90,91,92,93,94,95,96,97,98],"Real Estate Management","API","PowerBI","Tableau","Datenanalyse","Informationsarchitektur","CAFM-Systeme","ERP-Systeme","BI-Tools","IT-Architektur","Systemintegration","100 CHF\u002Fh","4 Monate mit Option, Start Juni 2026","Zürich",100,"contracting","2026-05-21T16:33:35+00:00",{"id":26,"slug":27,"label":28},{"id":107,"slug":108,"title":109,"skills":110,"budget":120,"duration":121,"location":122,"onsitePercent":123,"contractType":103,"foundAt":124,"category":125},5237,"professional-data-scientist-devsecops-engineer-cloud-sql-datenmodellierung-synapse-azure-pipelines-matillion-adx","Professional Data Scientist \u002F DevSecOps Engineer Cloud SQL Datenmodellierung Synapse Azure Pipelines Matillion ADX",[49,48,111,112,113,114,10,115,116,117,8,90,118,64,119,61,62],"Synapse","Azure Pipelines","Matillion","ADX","Cloud-Systeme","ETL-Prozesse","Data Warehouse","Azure Functions","SAFe","115 CHF\u002Fh","8 Monate mit Option","Bern",40,"2026-05-21T16:31:12+00:00",{"id":26,"slug":27,"label":28},{"id":127,"slug":128,"title":129,"skills":130,"budget":137,"duration":138,"location":139,"onsitePercent":51,"contractType":103,"foundAt":140,"category":141},5033,"bi-technical-lead","BI Technical Lead",[131,10,8,132,133,134,135,136],"Power BI","Microsoft Azure","Microsoft Fabric","Azure Databricks","Azure Data Factory","data lake patterns","Negotiable","12+ months","Bulgaria","2026-05-21T09:05:27+00:00",{"id":26,"slug":27,"label":28},{"id":143,"slug":144,"title":145,"skills":146,"budget":152,"duration":153,"location":20,"onsitePercent":51,"contractType":103,"foundAt":154,"category":155},5002,"senior-data-engineer-dbt-snowflake-sql-python-airflow-energy-pricing-pipelines","Senior Data Engineer DBT & Snowflake (SQL, Python, Airflow, Energy Pricing Pipelines)",[10,147,8,148,149,45,46,150,151],"DBT","Snowflake","Apache Airflow","Data Modeling","Performance Tuning","65-80 EUR\u002Fh","asap - 31.12.2026","2026-05-21T08:15:30+00:00",{"id":26,"slug":27,"label":28},{"id":157,"slug":158,"title":159,"skills":160,"budget":20,"duration":169,"location":170,"onsitePercent":171,"contractType":172,"foundAt":173,"category":174},4997,"senior-berater-martech-data-architektur-mwd-2","(Senior) Berater MarTech & Data Architektur (m\u002Fw\u002Fd)",[161,162,163,164,165,166,167,66,168],"Tealium","Databricks","CXP","MarTech-Architektur","Customer-Data-Plattformen","Personalisierung","A\u002FB-Tests","Data Integration","01.06.2026 - 30.11.2027","Köln",30,"temp_work","2026-05-21T08:10:23+00:00",{"id":26,"slug":27,"label":28},{"id":176,"slug":177,"title":178,"skills":179,"budget":137,"duration":184,"location":185,"onsitePercent":186,"contractType":103,"foundAt":187,"category":188},4900,"product-manager-data-analytics","Product Manager Data & Analytics",[28,180,181,182,183],"Product Management","AI","Danish","English","6 Monate mit Verlängerungsmöglichkeit","Copenhagen",60,"2026-05-20T15:45:28+00:00",{"id":26,"slug":27,"label":28},{"id":190,"slug":191,"title":192,"skills":193,"budget":20,"duration":202,"location":203,"onsitePercent":20,"contractType":103,"foundAt":204,"category":205},4835,"data-solution-architect-delivery-lead-mfd","Data \u002F Solution Architect (Delivery Lead) (m\u002Ff\u002Fd)",[194,195,196,197,198,162,132,150,199,200,201],"Data Architecture","Solution Architecture","Treasury","MS SQL Server","SSAS","Kimball","Lakehouse","Stakeholder Management","Start: 06\u002F26","Vienna","2026-05-20T13:21:14+00:00",{"id":26,"slug":27,"label":28},{"id":207,"slug":208,"title":209,"skills":210,"budget":20,"duration":20,"location":203,"onsitePercent":20,"contractType":103,"foundAt":219,"category":220},4834,"data-governance-data-quality-engineer-mfd","Data Governance & Data Quality Engineer (m\u002Ff\u002Fd)",[211,212,213,214,215,216,10,217,218],"Data governance frameworks","DAMA","GDPR","Databricks Unity Catalog","Data lineage tools","Data validation frameworks","Testing tools","Azure","2026-05-20T13:21:07+00:00",{"id":26,"slug":27,"label":28},{"id":222,"slug":223,"title":224,"skills":225,"budget":20,"duration":20,"location":20,"onsitePercent":51,"contractType":103,"foundAt":227,"category":228},4832,"data-engineer-nearshore-german-speaking-mfd","Data Engineer (Nearshore - German speaking) (m\u002Ff\u002Fd)",[10,147,8,45,46,148,149,226],"Data Pipeline Orchestration","2026-05-20T13:20:53+00:00",{"id":26,"slug":27,"label":28},{"id":230,"slug":231,"title":232,"skills":233,"budget":238,"duration":239,"location":21,"onsitePercent":51,"contractType":103,"foundAt":240,"category":241},4826,"100-remote-data-engineer-ms-azure-python-mwd","100% remote: Data Engineer – MS Azure \u002F Python (m\u002Fw\u002Fd)",[8,234,133,235,49,236,131,64,237],"Azure Synapse","FastAPI","API-Entwicklung","Kanban","Verhandelbar","2026 (140 Personentage)","2026-05-20T13:05:35+00:00",{"id":26,"slug":27,"label":28},{"id":243,"slug":244,"title":245,"skills":246,"budget":20,"duration":20,"location":252,"onsitePercent":20,"contractType":103,"foundAt":253,"category":254},4825,"data-engineer-mfd","Data Engineer (m\u002Ff\u002Fd)",[10,8,247,162,14,248,249,250,251],"Spark","ADF","SSIS","Data transformation","Performance tuning","Vienna\u002FBratislava","2026-05-20T13:01:19+00:00",{"id":26,"slug":27,"label":28},{"id":256,"slug":257,"title":258,"skills":259,"budget":20,"duration":265,"location":266,"onsitePercent":267,"contractType":103,"foundAt":268,"category":269},4822,"entwicklung-mit-informatica-powercenter-und-idmc-mwd","Entwicklung mit Informatica PowerCenter und IDMC (m\u002Fw\u002Fd)",[260,261,46,262,263,62,61,117,264],"Informatica PowerCenter","IDMC","MS SQL","Datenbanken","Db2 z\u002FOS","6 Monate","Cologne",20,"2026-05-20T12:50:43+00:00",{"id":26,"slug":27,"label":28}]