Jacobs
Jacobs

Microsoft Fabric Data Engineer

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SeniorFull-time
#411975·Dodano 26 dni temu·30
Źródło: nofluffjobs.com
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Tech Stack / Keywords

FabricPower BICI/CD PipelinesSQLAgilePower AutomatePowerAppsPython

Firma i stanowisko

Jacobs Digital & Data Hub in Kraków focuses on building enterprise-scale AI and data platforms that support advanced analytics and GenAI solutions across regulated and data-sensitive domains such as Government, Financial Services, Infrastructure, Energy, and Health.

Wymagania

  • 3+ years of experience developing solutions using Microsoft Fabric.
  • Strong experience designing and implementing Microsoft Fabric architectures, including Lakehouse, Data Warehouse, Data Pipelines, and Dataflows Gen2.
  • Proven experience building and optimizing ETL processes and data models.
  • Advanced SQL skills and experience with data modeling and query performance optimization.
  • Experience with Power BI, including semantic models and DAX.
  • Experience with Azure DevOps, CI/CD pipelines, and Agile delivery methodologies.
  • Strong analytical skills with the ability to translate data into meaningful insights and visualizations aligned with business requirements.
  • Experience working directly with business stakeholders, gathering requirements, and providing technical consulting.
  • Ability to work independently with strong organizational skills.
  • Fluent English.

Nice to have:

  • Experience with Python.
  • Experience with Power Automate, Power Apps.
  • Microsoft certifications such as Fabric Analytics Engineer Associate (DP-600), Fabric Data Engineer Associate (DP-700), Microsoft Data Analyst (PL-300), Power Platform Fundamentals (PL-900), Power Platform App Maker Associate (PL-100), Power Platform Functional Consultant (PL-200), or Power Platform Developer (PL-400).
  • Background in business process analysis and improvement.
  • Experience facilitating technical workshops.

Obowiązki

  • Connect diverse data sources, ingest data, and perform data transformation to support analytics and business reporting requirements.
  • Build and optimize Lakehouse and Data Warehouse solutions within Microsoft Fabric.
  • Design and implement scalable data models, data storage structures, and data integration processes.
  • Automate data processing workflows, monitoring, and operational tasks to improve efficiency and reliability.
  • Gather and analyze business and technical requirements for data platform, reporting, and analytics solutions.
  • Perform data analysis to identify trends, data quality issues, and opportunities for business improvement.
  • Troubleshoot and resolve complex data platform, integration, and reporting issues.
  • Collaborate with business stakeholders, project managers, analysts, architects, and IT teams to deliver data-driven solutions.
  • Work closely with the development team in an Agile environment to ensure efficient and effective project execution.
  • Share technical expertise in Microsoft Fabric, cloud data engineering, and modern data platform practices.

Benefity

  • Full-time employment with a salary matching your qualifications.
  • Flexible hours allowing start between 7:30 and 10:00 AM.
  • Comprehensive benefits including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and car/bike park sharing system.
  • Co-financed holidays "Wczasy pod Gruszą".
  • Opportunities for engagement in global international projects.
  • Access to diverse employee networks such as Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively.
  • Continuous learning with Graduate Development Program, Learners’ Community, and self-learning platforms.
  • Language courses in English, German, and Polish.
Elastyczne godziny
Karta sportowa
Opieka zdrowotna
Ubezpieczenie
Kursy językowe

Inne informacje

Jacobs is a Disability Confident employer and commits to interviewing all disabled applicants who meet the criteria. Support and reasonable adjustments during recruitment are available upon request.

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