{"id":1873,"date":"2026-03-11T14:14:00","date_gmt":"2026-03-11T14:14:00","guid":{"rendered":"https:\/\/edvwerke.ch\/job\/do-edycji-copy\/"},"modified":"2026-03-11T14:38:36","modified_gmt":"2026-03-11T14:38:36","slug":"data-engineer-fabric","status":"publish","type":"job_listing","link":"https:\/\/edvwerke.ch\/de\/job\/data-engineer-fabric\/","title":{"rendered":"Data Engineer Fabric"},"content":{"rendered":"

EDV Werke is looking for a Data Engineer Fabric.<\/strong><\/p>\n

Working Model: <\/strong>Remote<\/p>\n

Form of cooperation:<\/strong> B2B Contract<\/p>\n

Tasks<\/strong>:<\/p>\n

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  • Fabric Data Platform Development<\/strong> Building and maintaining data platforms using lakehouse and data warehouse workloads while creating scalable pipelines and structured data models.<\/li>\n
  • ETL and Data Pipeline Engineering<\/strong> Developing and optimizing ETL and ELT pipelines and dataflows to ensure reliable data ingestion, transformation, and processing.
    Reporting Data Model Enablement<\/strong> Supporting reporting capabilities by preparing curated datasets, semantic models, and optimized data structures for business analytics.<\/li>\n
  • Cross-Platform Data Integration<\/strong> Implementing and maintaining data integration and federation between cloud data environments to ensure secure and consistent data sharing.<\/li>\n
  • Platform Operations and Maintenance<\/strong> Handling operational support including debugging, incident resolution, performance tuning, and maintenance of existing data solutions.<\/li>\n
  • Data Architecture Improvement<\/strong> Refactoring legacy components and improving platform architecture, workflows, and automation practices.<\/li>\n
  • Security and Quality Compliance<\/strong> Ensuring data solutions comply with internal governance standards, security policies, and quality processes.<\/li>\n
  • Platform Evolution and Feature Adoption<\/strong> Implementing new platform capabilities and aligning data engineering solutions with evolving platform roadmaps.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\n
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    Must-Have Skills:<\/strong><\/p>\n

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    • Enterprise Data Platform Experience<\/strong> Strong experience designing and operating modern cloud-based data platforms using integrated analytics and storage services.<\/li>\n
    • Lakehouse and Data Warehouse Workload Expertise<\/strong> Practical experience implementing and managing lakehouse and warehouse data workloads within modern data platforms.<\/li>\n
    • Data Lake Architecture Knowledge<\/strong> Understanding of centralized data lake architectures, unified storage concepts, and scalable data management principles.<\/li>\n
    • Data Pipeline Engineering Skills<\/strong> Strong experience building and managing ETL or ELT pipelines using modern data integration and orchestration tools.<\/li>\n
    • Reporting Data Model Optimization<\/strong> Experience preparing optimized datasets and semantic models for reporting and analytics platforms.<\/li>\n
    • Advanced SQL Development Skills<\/strong> Strong SQL expertise for designing efficient schemas, managing data transformations, and optimizing queries.<\/li>\n
    • Python Data Engineering Skills<\/strong> Strong programming experience using Python or similar languages for data processing and automation with test-driven development practices.<\/li>\n
    • Data Modeling Expertise<\/strong> Strong experience designing scalable and maintainable data models supporting analytics and operational reporting.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\n
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      Nice-to-Have Skills:<\/strong><\/p>\n

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      • Software Architecture Knowledge<\/strong> Understanding of software architecture principles and common design patterns used in scalable data systems.<\/li>\n
      • Pipeline Orchestration Experience<\/strong> Familiarity with workflow orchestration tools used for scheduling and coordinating data pipelines.<\/li>\n
      • Data Quality Framework Knowledge<\/strong> Experience implementing data validation and quality frameworks to ensure reliability of data pipelines.<\/li>\n
      • Additional Cloud Platform Experience<\/strong> Hands-on experience working with services from other major cloud ecosystems for analytics, serverless processing, and machine learning.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\n
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        Benefits:<\/strong><\/p>\n

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        • Competitive salary with performance-based bonuses.<\/li>\n
        • Opportunities for professional development and advancement.<\/li>\n
        • Dynamic and collaborative work environment.<\/li>\n<\/ul>\n","protected":false},"author":17,"featured_media":1578,"template":"","meta":{"_promoted":"","_job_location":"EU","_application":"joanna.zuchowska@edvwerke.ch","_company_name":"EDV WERKE AG","_company_website":"https:\/\/edvwerke.ch\/","_company_tagline":"Building on experience, results and commitment.","_company_twitter":"@edvwerke","_company_video":"","_filled":0,"_featured":0,"_remote_position":1,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":""},"job-types":[5],"class_list":["post-1873","job_listing","type-job_listing","status-publish","has-post-thumbnail","hentry","job-type-full-time"],"acf":[],"_links":{"self":[{"href":"https:\/\/edvwerke.ch\/de\/wp-json\/wp\/v2\/job-listings\/1873","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/edvwerke.ch\/de\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/edvwerke.ch\/de\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/edvwerke.ch\/de\/wp-json\/wp\/v2\/users\/17"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/edvwerke.ch\/de\/wp-json\/wp\/v2\/media\/1578"}],"wp:attachment":[{"href":"https:\/\/edvwerke.ch\/de\/wp-json\/wp\/v2\/media?parent=1873"}],"wp:term":[{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/edvwerke.ch\/de\/wp-json\/wp\/v2\/job-types?post=1873"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}