[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-senior-python-data-monitoring-engineer-mfd":3,"similar-senior-python-data-monitoring-engineer-mfd":40},{"id":4,"slug":5,"title":6,"skills":7,"budget":23,"duration":24,"location":25,"onsitePercent":26,"contractType":27,"foundAt":28,"category":29,"description":33,"rawText":34,"webTitle":35,"webText":36,"language":37,"projectId":38,"sourceUrl":39},10869,"senior-python-data-monitoring-engineer-mfd","Senior Python Data & Monitoring Engineer (m\u002Ff\u002Fd)",[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22],"Python 3.11+","SQL","PostgreSQL","ETL\u002FELT","Data Pipelines","Dashboarding","Python Dash","React-FastAPI","Kubernetes","Helm","Azure DevOps","CI\u002FCD","Report Generation","English","German",null,"6 Monate, Start 01.07.2026","Berlin",0,"contracting","2026-06-03T13:45:30+00:00",{"id":30,"slug":31,"label":32},4,"data_analytics","Data & Analytics","Westhouse sucht für einen Energiesektor-Kunden einen Senior Python Data & Monitoring Engineer für Remote-Arbeit mit Standort Berlin. Die Rolle umfasst Datenverarbeitung, Datenbankdesign, Dashboard-Entwicklung, Monitoring und DevOps-Aufgaben in Python. Projektlaufzeit: 6 Monate ab 01.07.2026.","Senior Python Data & Monitoring Engineer (m\u002Ff\u002Fd)\n\nRemote, Berlin\n\nStart: 01.07.2026\n\n5 minutes ago\n\nJob type:\nProject\n\nDuration:\n6 Months\n\nScope of work:\nfull-time - 122 days\n\nID: 178868\n\nApply here\n\nWesthouse is one of the leading international recruitment agencies for the procurement of highly qualified experts in the energy sector.\n\nFor our client we are currently looking for a Senior Python Data & Monitoring Engineer (m\u002Ff\u002Fd) - Remote, Berlin.\n\nYour tasks\n\n- Analyze and implement data ingestion and processing components for operational data flows\n- Design, develop, and maintain automated data import routines including parsing, validation, and error handling\n- Design and evolve database schemas and data models for efficient storage and querying\n- Ensure data quality, consistency, and reliability across processing pipelines\n- Provide analytical support within the scope of defined project deliverables\n- Develop and enhance dashboards and visualizations for operational KPIs and metrics\n- Implement comparison views, trend analysis, and anomaly detection logic\n- Configure and implement alerting and notification mechanisms for detected deviations\n- Generate analytical outputs and reports (e.g., Word\u002FPDF)\n- Provide senior-level Python full-stack engineering and consulting services\n- Design, implement, and maintain backend services and data-driven applications in Python\n- Deploy and configure applications on container-based platforms (e.g., Kubernetes)\n- Build and maintain CI\u002FCD pipelines for automated deployment and integration\n- Perform runtime monitoring, troubleshooting, and issue resolution\n- Document solutions and ensure knowledge transfer to stakeholders\n- Collaborate with stakeholders to align on requirements, priorities, and deliverables\n- Support requirement clarification and ensure acceptance of delivered results\n- Work independently within defined project scope and objectives\n- Contribute to the design and evolution of monitoring, transparency, and analytics solutions\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- Senior‑level experience in Python backend development (Python 3.11 or newer, ideally Python 3.13 readiness)\n- Strong experience with SQL and relational databases (e.g. PostgreSQL), including data modeling and query optimization\n- Experience with data pipelines (ETL\u002FELT), incremental data loading, logging, and alerting\n- Experience with dashboarding and visualization technologies (e.g. Python Dash, React-FastAPI or comparable solutions)\n- Practical experience with DevOps tooling and workflows (e.g. Azure DevOps)\n- Experience working with container‑based environments using Kubernetes platforms and Helm charts\n- Experience with report generation (Word \u002F PDF)\n- English: fluent (technical communication, documentation, code)\n- German: required for coordination with stakeholders and operators","Senior Python Data & Monitoring Engineer","Wir suchen einen erfahrenen Senior Python Data & Monitoring Engineer für ein 6-monatiges Projekt im Energiesektor. Die Position ist remote mit Standort Berlin und startet am 01.07.2026.\n\nIn dieser Rolle werden Sie als Full-Stack Python Engineer tätig und verantworten die Entwicklung und Wartung von datengesteuerten Anwendungen und Backend-Services. Ihre Aufgaben umfassen die Analyse und Implementierung von Datenerfassungs- und Verarbeitungskomponenten für operative Datenflüsse sowie die Gestaltung und Weiterentwicklung von Datenbankschemas und Datenmodellen.\n\nSie werden automatisierte Datenimport-Routinen mit Parsing, Validierung und Fehlerbehandlung entwickeln und sicherstellen, dass Datenqualität, Konsistenz und Zuverlässigkeit über alle Verarbeitungs-Pipelines hinweg gewährleistet sind. Darüber hinaus entwickeln Sie Dashboards und Visualisierungen für operative KPIs, implementieren Vergleichsansichten, Trendanalysen und Anomalieerkennung sowie Benachrichtigungsmechanismen für erkannte Abweichungen.\n\nTechnisch werden Sie Container-basierte Plattformen (z.B. Kubernetes) nutzen, CI\u002FCD-Pipelines aufbauen und warten sowie Runtime-Monitoring und Troubleshooting durchführen. Sie generieren analytische Outputs und Reports und dokumentieren Lösungen für Stakeholder.\n\nGefordert werden Senior-Level-Erfahrung in Python Backend-Entwicklung (Python 3.11+), fundierte SQL- und Datenbank-Kenntnisse (z.B. PostgreSQL), Erfahrung mit ETL\u002FELT-Daten-Pipelines, Dashboarding-Technologien und DevOps-Tools. Kubernetes-Erfahrung und Kenntnisse in Report-Generierung sind erforderlich. Fließende Englischkenntnisse und deutsche Sprachkenntnisse für die Koordination sind notwendig.\n\nDies ist eine Vollzeitposition mit 122 Tagen Projektdauer.","en","178868","https:\u002F\u002Fwww.westhouse-group.com\u002Fen\u002Fjoblisting\u002Fsenior-python-data-monitoring-engineer-m-f-d-remote-berlin\u002F",{"items":41},[42,64,78,93,114,136,159,171,194,213,220,226,232,251,263],{"id":43,"slug":44,"title":45,"skills":46,"budget":23,"duration":59,"location":60,"onsitePercent":61,"contractType":27,"foundAt":62,"category":63},10896,"infrahub-data-architect-mwd","InfraHub Data Architect (m\u002Fw\u002Fd)",[47,48,11,49,50,51,16,19,52,53,54,55,56,57,58],"Data Architecture","AWS","Enterprise Architecture","Data Governance","Cloud-Plattformen","DevSecOps","Graph-Datenbanken","Neo4j","LLM","RAG","DSGVO","API-Integration","Start: 17.06.2026","Frankfurt",100,"2026-06-03T14:35:49+00:00",{"id":30,"slug":31,"label":32},{"id":65,"slug":66,"title":67,"skills":68,"budget":23,"duration":75,"location":23,"onsitePercent":26,"contractType":27,"foundAt":76,"category":77},10861,"daten-manager","Daten Manager",[69,70,71,72,73,74],"Datenmanagement","Datenqualität","Systemmigration","Daten-Mapping","Deutsch","Englisch","6 Monate+, Start 01.07.2026","2026-06-03T13:30:29+00:00",{"id":30,"slug":31,"label":32},{"id":79,"slug":80,"title":81,"skills":82,"budget":89,"duration":90,"location":23,"onsitePercent":26,"contractType":27,"foundAt":91,"category":92},10859,"sybase-ase-spezialist","Sybase ASE Spezialist",[83,84,85,86,87,88],"Sybase ASE","SQL Anywhere","Datenbank-Migration","Performance-Tuning","Legacy-Umgebungen","Datenbank-Architektur","VB","4 Wochen","2026-06-03T13:30:15+00:00",{"id":30,"slug":31,"label":32},{"id":94,"slug":95,"title":96,"skills":97,"budget":23,"duration":109,"location":110,"onsitePercent":111,"contractType":27,"foundAt":112,"category":113},10838,"data-analyst-ms-fabric-mwd","Data Analyst – MS Fabric (m\u002Fw\u002Fd)",[98,99,100,101,102,103,104,9,105,106,107,108],"Microsoft Fabric","Power BI","Lakehouse","Dataflows Gen2","Notebooks","DAX","Python","Datenmodellierung","Projektmanagement","AI\u002FML-Funktionalitäten","Git","22.06.2026 - 31.12.2026","Frankfurt am Main",5,"2026-06-03T13:15:28+00:00",{"id":30,"slug":31,"label":32},{"id":115,"slug":116,"title":117,"skills":118,"budget":23,"duration":131,"location":132,"onsitePercent":61,"contractType":133,"foundAt":134,"category":135},10833,"data-component-quality-lead-mwd","Data Component Quality Lead (m\u002Fw\u002Fd)",[119,50,120,121,122,123,124,125,126,127,128,129,130],"Datenqualitätsmanagement","Datenarchitekturen","Apache Kafka","ClickHouse","Data-Mesh-Konzepte","Testmethoden für Datenpipelines","ISO 27001","Compliance","Informationssicherheit","Analytische Fähigkeiten","Stakeholder-Management","Fehlerbehebung","12 Monate mit Option auf Übernahme","München","temp_work","2026-06-03T12:46:01+00:00",{"id":30,"slug":31,"label":32},{"id":137,"slug":138,"title":139,"skills":140,"budget":23,"duration":155,"location":156,"onsitePercent":26,"contractType":27,"foundAt":157,"category":158},10828,"data-platform-architect-aws-sap-focus","Data Platform Architect (AWS + SAP Focus)",[141,142,143,144,145,146,147,148,149,150,47,151,152,50,153,154,21],"AWS data platforms","AWS S3","AWS Glue","AWS Redshift","AWS Athena","AWS Lake Formation","AWS EMR","SAP BW","SAP Datasphere","Data Engineering","Enterprise Data Platforms","Data Lakes","Data Security","Metadata Management","6 Monate","India","2026-06-03T12:27:14+00:00",{"id":30,"slug":31,"label":32},{"id":160,"slug":161,"title":162,"skills":163,"budget":23,"duration":168,"location":23,"onsitePercent":26,"contractType":27,"foundAt":169,"category":170},10764,"migration-von-qlik-reports-zu-microsoft-power-bi","Migration von Qlik-Reports zu Microsoft Power BI",[164,9,105,165,166,167],"Microsoft Power BI","Datenbanken","Schnittstellen","Qlik","3 Monate","2026-06-03T09:30:15+00:00",{"id":30,"slug":31,"label":32},{"id":172,"slug":173,"title":174,"skills":175,"budget":23,"duration":23,"location":189,"onsitePercent":190,"contractType":191,"foundAt":192,"category":193},10137,"senior-microsoft-data-engineer-hybrid-role-amsterdam","Senior Microsoft Data Engineer – Hybrid Role (Amsterdam)",[176,177,178,179,180,98,104,9,11,181,182,183,184,19,185,186,187,99,188],"Microsoft Azure","Azure Synapse","Data Factory","Databricks","Stream Analytics","Spark","Hadoop","Data Warehousing","DevOps","Infrastructure as Code","Azure Purview","Azure OpenAI","AI\u002FML","Amsterdam",50,"permanent","2026-06-03T06:00:55+00:00",{"id":30,"slug":31,"label":32},{"id":195,"slug":196,"title":197,"skills":198,"budget":23,"duration":208,"location":209,"onsitePercent":210,"contractType":27,"foundAt":211,"category":212},9174,"implementation-consultant-2","Implementation Consultant",[9,104,199,200,201,202,203,204,205,206,207],"Unix","SPARQL","Nova Context (SIA)","Pronto","ITIL","ServiceNow","24x7 Operations","Monitoring Tools","APM","6 months","Helsinki",60,"2026-06-03T05:34:57+00:00",{"id":30,"slug":31,"label":32},{"id":214,"slug":215,"title":216,"skills":217,"budget":23,"duration":23,"location":189,"onsitePercent":190,"contractType":191,"foundAt":218,"category":219},8610,"senior-microsoft-data-engineer-amsterdam-3","Senior Microsoft Data Engineer (Amsterdam)",[176,177,178,179,180,98,104,9,11,181,182,183,184,19,185,186,187,99,188],"2026-06-03T05:21:02+00:00",{"id":30,"slug":31,"label":32},{"id":221,"slug":222,"title":216,"skills":223,"budget":23,"duration":23,"location":189,"onsitePercent":190,"contractType":191,"foundAt":224,"category":225},8376,"senior-microsoft-data-engineer-amsterdam-2",[176,177,178,179,180,98,104,9,11,181,182,183,184,19,185,186,187,99,188],"2026-06-03T05:14:45+00:00",{"id":30,"slug":31,"label":32},{"id":227,"slug":228,"title":216,"skills":229,"budget":23,"duration":23,"location":189,"onsitePercent":190,"contractType":191,"foundAt":230,"category":231},7931,"senior-microsoft-data-engineer-amsterdam",[176,177,178,179,180,98,104,9,11,181,182,183,184,19,185,186,187,99,188],"2026-06-03T04:58:39+00:00",{"id":30,"slug":31,"label":32},{"id":233,"slug":234,"title":235,"skills":236,"budget":23,"duration":246,"location":247,"onsitePercent":248,"contractType":27,"foundAt":249,"category":250},7560,"data-architect-big-data-governance-ki-technologien-mwd-90-remote-2","Data Architect (Big Data, Governance, KI-Technologien) (m\u002Fw\u002Fd) 90% remote",[237,238,239,240,241,242,243,244,245,126],"Big Data","Governance","KI-Technologien","JIRA","Confluence","SharePoint","Enterprise Data Architecture","EU AI Act","Stakeholdermanagement","12.06.2026 – 31.12.2026","Frankfurt Main",10,"2026-06-02T19:21:16+00:00",{"id":30,"slug":31,"label":32},{"id":252,"slug":253,"title":254,"skills":255,"budget":23,"duration":260,"location":247,"onsitePercent":111,"contractType":191,"foundAt":261,"category":262},7559,"data-architect-datenmodellierung-etlelt-data-governance-mwd-95-remote","Data Architect (Datenmodellierung, ETL\u002FELT, Data Governance) (m\u002Fw\u002Fd) 95% remote",[105,11,50,256,57,244,257,16,19,52,258,54,259,55,56],"API-\u002FEvent-Integration","Six Sigma Black Belt","IaC","ArangoDB","17.06.2026 – 31.12.2026","2026-06-02T19:20:59+00:00",{"id":30,"slug":31,"label":32},{"id":264,"slug":265,"title":266,"skills":267,"budget":23,"duration":271,"location":23,"onsitePercent":26,"contractType":27,"foundAt":272,"category":273},7510,"senior-power-bi-consultant-mwd-migration-und-weiterentwicklung-einer-reporting-landschaft","Senior Power BI Consultant (m\u002Fw\u002Fd) – Migration und Weiterentwicklung einer Reporting-Landschaft",[164,103,268,105,9,269,270],"Power Query","Reporting","Dashboard-Entwicklung","mindestens 3 Monate","2026-06-02T14:02:33+00:00",{"id":30,"slug":31,"label":32}]