[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-senior-data-engineer-pythondatabricks-mfd":3,"similar-senior-data-engineer-pythondatabricks-mfd":41},{"id":4,"slug":5,"title":6,"skills":7,"budget":24,"duration":25,"location":26,"onsitePercent":27,"contractType":28,"foundAt":29,"category":30,"description":34,"rawText":35,"webTitle":36,"webText":37,"language":38,"projectId":39,"sourceUrl":40},11925,"senior-data-engineer-pythondatabricks-mfd","Senior Data Engineer (Python\u002FDatabricks) (m\u002Ff\u002Fd)",[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23],"Python","Databricks","Spark","Data Lake","Git","Version Control","CI\u002FCD","Apache Spark","Airflow","Kafka","Azure Data Engineering","C#",".NET","Blazor","Clean Architecture","Data Meshing",null,"6 months","Berlin",0,"contracting","2026-06-09T15:10:28+00:00",{"id":31,"slug":32,"label":33},4,"data_analytics","Data & Analytics","Westhouse sucht einen Senior Data Engineer für Remote-Arbeit in Berlin. Aufgaben umfassen Design und Optimierung von Databricks Notebooks, Management von Databricks Tables, Deployment von Data Pipelines sowie Zusammenarbeit mit Stakeholdern zu Governance und Compliance. Mindestens 4 Jahre Data Engineering Erfahrung mit Python und 3 Jahre mit Databricks\u002FSpark erforderlich.","Senior Data Engineer (Python\u002FDatabricks) (m\u002Ff\u002Fd)\n\nRemote, Berlin\n\nStart: 01.07.2026 (asap)\n\n1 minute ago\n\nJob type:\nProject\n\nDuration:\n6 months\n\nScope of work:\npart-time - 100 days\n\nLanguages:\nEnglisch, Deutsch\n\nID: 178921\n\nApply here\n\nWesthouse is one of the leading international recruitment agencies for the procurement of highly qualified experts in fields such as IT lifecycle management, SAP, engineering, commerce and specialist consultancy.\n\nFor our client we are currently looking for a Senior Data Engineer (Python\u002FDatabricks) (m\u002Ff\u002Fd) - Remote, Berlin.\n\nYour tasks\n\n- Design, building, and optimization of Databricks notebooks and structured workflows, ensuring clear, modular, and reusable code practices for efficient and maintainable data transformation.\n- Management of Databricks tables, optimization of storage layers, and implementation of effective partitioning, indexing, and data compaction strategies for performance, cost-efficiency, and scalability.\n- Deployment of data pipelines and analytics solutions using Databricks best practices, promoting version control, continuous integration, testing, and monitoring.\n- Design and development of data pipelines and automation scripts using python code reviewing in coordination with the development\n- Contribution to delivering a secure and quality code\n- Coordination with various stakeholders to align development with governance, security, and compliance requirements\n- Contribution to technical refinement session to challenge the technical needs for the project\n- Documentation for understanding the technical aspects of the project\n\nInterested?\n\nMark Plewe\n\nTel.: +49-69-24007541\nFax.: +49-69-240075-49\nEmail: E-Mail: m.plewe@westhouse-group.com m.plewe@westhouse-group.com\n\nApply here\n\nShare posting\n\nFacebook linkedin Xing twitter\n\nYour qualifications\n\n- Min 4 years of data engineering experience (Python)\n- Min 3 years of experience working with data products (Databricks\u002FSpark, Data Lake)\n- Experience with git, version control, release management and cicd.\n- Experience working with output ports defining: performance SLAs, Caching strategies, REST and message based output ports\n- German level min. B2 or comparable, English level min C1 or comparable.\n- Readiness to get involved in business logic\n- C# - experience\n- Experience in working on a .NET stack + Blazor\n- Clean architecture; Understanding of data meshing and data strategy\n- Knowledge of Apache Spark, Airflow, Kafka and Azure data engineering stack\n- Experience in working with data products\n- Energy industry know-how\n\nMust-Haves:\n\n- Min 4 years of data engineering experience (Python)\n- Min 3 years of experience working with data products (Databricks\u002FSpark, Data Lake)\n- Experience with git, version control, release management and cicd.\n- Experience working with output ports defining: performance SLAs, Caching strategies, REST and message based output ports","Senior Data Engineer (Python\u002FDatabricks)","Wir suchen einen erfahrenen Senior Data Engineer (m\u002Ff\u002Fd) für ein 6-monatiges Projekt im Umfang von 100 Tagen (Teilzeit) mit flexibler Remote-Arbeit und Standort Berlin. Starttermin: 01.07.2026.\n\nAufgaben:\nSie werden verantwortlich für die Konzeption, Entwicklung und Optimierung von Databricks-Notebooks und strukturierten Workflows mit Fokus auf modularen, wiederverwendbaren Code. Sie verwalten Databricks-Tabellen, optimieren Speicherschichten und implementieren Partitionierungs-, Indexierungs- und Datenkompaktierungsstrategien für maximale Performance und Kosteneffizienz. Die Bereitstellung von Datenpipelines und Analytics-Lösungen nach Databricks Best Practices, einschließlich Versionskontrolle, Continuous Integration und Monitoring, gehört zu Ihren Kernaufgaben. Sie entwickeln Datenpipelines und Automatisierungsskripte in Python, führen Code-Reviews durch und tragen zur Sicherheit und Qualität des Codes bei. Darüber hinaus koordinieren Sie mit verschiedenen Stakeholdern, um Entwicklung mit Governance-, Sicherheits- und Compliance-Anforderungen abzustimmen, unterstützen technische Verfeinerungssitzungen und dokumentieren technische Aspekte des Projekts.\n\nAnforderungen:\nMinimum 4 Jahre Erfahrung in Data Engineering mit Python und mindestens 3 Jahre mit Datenprodukten (Databricks\u002FSpark, Data Lake). Erforderlich sind Kenntnisse in Git, Versionskontrolle, Release Management und CI\u002FCD. Erfahrung mit Output Ports, Performance SLAs, Caching-Strategien sowie REST- und nachrichtenbasierte Output Ports ist notwendig. Sprachanforderungen: Deutsch B2 oder höher, Englisch C1 oder höher. Vorteilhaft sind Erfahrungen mit Apache Spark, Airflow, Kafka, Azure Data Engineering Stack, Clean Architecture, Data Meshing und Energiewirtschaft.","en","178921","https:\u002F\u002Fwww.westhouse-group.com\u002Fen\u002Fjoblisting\u002Fsenior-data-engineer-python-databricks-m-f-d-remote-berlin\u002F",{"items":42},[43,64,80,88,102,130,144,158,167,191,208,220,226,236,247],{"id":44,"slug":45,"title":46,"skills":47,"budget":24,"duration":58,"location":59,"onsitePercent":60,"contractType":61,"foundAt":62,"category":63},12000,"senior-data-analyst-ms-fabric-power-bi-python-mwd-95-remote","Senior Data Analyst (MS Fabric, Power BI, Python) (m\u002Fw\u002Fd) 95% remote",[48,49,8,50,51,52,53,54,55,56,57],"Microsoft Fabric","Power BI","SQL","Lakehouse","Dataflows Gen2","Pipelines","Notebooks","Projektmanagement","Data Science","AI\u002FML-Funktionalitäten","22.06.2026 – 31.12.2026","Frankfurt am Main",5,"permanent","2026-06-10T07:35:58+00:00",{"id":31,"slug":32,"label":33},{"id":65,"slug":66,"title":67,"skills":68,"budget":24,"duration":75,"location":76,"onsitePercent":77,"contractType":28,"foundAt":78,"category":79},11975,"analytics-workspace-frontend-experte-mwd-guv-remote-und-gr-muenchen-9-monate-asap","Analytics Workspace Frontend Experte (m\u002Fw\u002Fd) - GuV - remote und GR München – 9 Monate - ASAP",[69,70,71,72,73,74],"Planning Analytics Workspace","MDX","Multidimensionale Datenstrukturen","Excel","PAfE","Cubeviews","9 Monate, Start 15.01.2026","München",25,"2026-06-10T02:06:12+00:00",{"id":31,"slug":32,"label":33},{"id":81,"slug":82,"title":83,"skills":84,"budget":24,"duration":24,"location":24,"onsitePercent":24,"contractType":28,"foundAt":86,"category":87},11943,"power-bi-data-analytics-experte-wmd","Power BI \u002F Data & Analytics Experte (w\u002Fm\u002Fd)",[49,85],"Data Analytics","2026-06-09T15:35:10+00:00",{"id":31,"slug":32,"label":33},{"id":89,"slug":90,"title":91,"skills":92,"budget":24,"duration":99,"location":24,"onsitePercent":27,"contractType":28,"foundAt":100,"category":101},11881,"logistics-systems-expert-data-analytics-reporting","Logistics Systems Expert - Data Analytics & Reporting",[72,49,93,50,85,94,95,96,97,98],"Power Platform","Reporting","KPI-Frameworks","Dashboard-Entwicklung","Deutsch","Englisch","asap bis 31.12.2026","2026-06-09T13:30:15+00:00",{"id":31,"slug":32,"label":33},{"id":103,"slug":104,"title":105,"skills":106,"budget":125,"duration":126,"location":127,"onsitePercent":27,"contractType":28,"foundAt":128,"category":129},11866,"informatica-pim-technical-specialist","Informatica PIM Technical Specialist",[107,108,109,110,111,112,113,114,115,116,50,117,118,119,120,121,122,123,124],"Informatica PIM","Data extraction","Data migration","Data transformation","Integration technologies","APIs","Data pipelines","Data modelling","Data quality","Data governance","ETL processes","System implementation","Data mapping","SIT testing","UAT testing","Retail experience","English","French","Negotiable","3 months rolling contract with scope for extension","France","2026-06-09T13:05:39+00:00",{"id":31,"slug":32,"label":33},{"id":131,"slug":132,"title":133,"skills":134,"budget":24,"duration":141,"location":127,"onsitePercent":27,"contractType":28,"foundAt":142,"category":143},11852,"consultant-technique-informatica","Consultant technique Informatica",[135,108,109,110,50,117,113,136,137,138,114,115,116,112,139,140,123,124],"Informatica PIM 360","XML","XSLT","Java","SAP","Akeneo","3 months","2026-06-09T13:00:52+00:00",{"id":31,"slug":32,"label":33},{"id":145,"slug":146,"title":147,"skills":148,"budget":24,"duration":24,"location":24,"onsitePercent":27,"contractType":28,"foundAt":156,"category":157},11835,"data-product-engineer-microsoft-fabric-onelake-security-mwd","Data Product Engineer – Microsoft Fabric & OneLake Security (m\u002Fw\u002Fd)",[48,149,8,50,150,151,152,153,154,155,97,98],"OneLake Security","Data Engineering","ETL\u002FELT","Lakehouse-Konzepte","Azure Synapse","Software Testing","Datenarchitektur","2026-06-09T12:06:38+00:00",{"id":31,"slug":32,"label":33},{"id":159,"slug":160,"title":161,"skills":162,"budget":24,"duration":164,"location":24,"onsitePercent":27,"contractType":28,"foundAt":165,"category":166},11816,"data-product-engineer-onelake-security","Data Product Engineer - OneLake Security",[48,8,149,50,150,154,163],"Software Projects","1,5 Monate, 20 Std\u002FWoche, Start 13.07.2026","2026-06-09T11:30:17+00:00",{"id":31,"slug":32,"label":33},{"id":168,"slug":169,"title":170,"skills":171,"budget":24,"duration":24,"location":187,"onsitePercent":188,"contractType":28,"foundAt":189,"category":190},11785,"senior-data-engineer-amsterdam","Senior Data Engineer – Amsterdam",[172,48,173,174,175,176,8,50,151,10,177,178,179,180,181,49,182,183,14,184,185,186],"Azure Data Services","Azure Synapse Analytics","Azure Data Factory","Azure Databricks","Azure Stream Analytics","Hadoop","Data Warehousing","DevOps","Azure Purview","Azure OpenAI","Infrastructure as Code","Azure DevOps","Cloud Security","GDPR","HIPAA","Amsterdam",50,"2026-06-09T09:52:21+00:00",{"id":31,"slug":32,"label":33},{"id":192,"slug":193,"title":194,"skills":195,"budget":24,"duration":24,"location":24,"onsitePercent":24,"contractType":28,"foundAt":206,"category":207},11702,"data-engineer-fmd","Data Engineer (f\u002Fm\u002Fd)",[196,197,198,9,199,200,8,201,174,202,203,204,205,98],"Datenmodellierung","Datenintegration","Azure","PySpark","Delta Lake","Data Warehouse","Unity Catalog","Spark SQL","Datenvalidierung","BI","2026-06-09T07:25:09+00:00",{"id":31,"slug":32,"label":33},{"id":209,"slug":210,"title":211,"skills":212,"budget":24,"duration":24,"location":187,"onsitePercent":188,"contractType":61,"foundAt":218,"category":219},11653,"lead-data-analytics-4","Lead Data & Analytics",[85,201,213,214,215,216,217,98],"Data Governance","BI-Technologien","Cloud-Technologien","Stakeholder Management","Niederländisch","2026-06-08T19:05:28+00:00",{"id":31,"slug":32,"label":33},{"id":221,"slug":222,"title":211,"skills":223,"budget":24,"duration":24,"location":187,"onsitePercent":188,"contractType":61,"foundAt":224,"category":225},11652,"lead-data-analytics-3",[85,201,213,214,215,216,196,217,98],"2026-06-08T18:55:27+00:00",{"id":31,"slug":32,"label":33},{"id":227,"slug":228,"title":229,"skills":230,"budget":125,"duration":24,"location":233,"onsitePercent":188,"contractType":61,"foundAt":234,"category":235},11625,"business-analyst-data-analytics","Business Analyst Data & Analytics",[49,231,50,216,232,9],"DAX","Business Analysis","Rotterdam","2026-06-08T15:50:31+00:00",{"id":31,"slug":32,"label":33},{"id":237,"slug":238,"title":211,"skills":239,"budget":125,"duration":24,"location":187,"onsitePercent":188,"contractType":61,"foundAt":245,"category":246},11547,"lead-data-analytics-2",[240,241,178,242,213,243,244,216,123],"Data Platform Management","Business Requirements Analysis","Analytics & Dashboards","BI Technologies","Cloud Technologies","2026-06-08T13:00:34+00:00",{"id":31,"slug":32,"label":33},{"id":248,"slug":249,"title":211,"skills":250,"budget":125,"duration":24,"location":187,"onsitePercent":188,"contractType":61,"foundAt":254,"category":255},11546,"lead-data-analytics",[240,241,178,251,252,244,213,253,216,123],"Analytics","BI Tools","Data Quality Management","2026-06-08T12:55:29+00:00",{"id":31,"slug":32,"label":33}]