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New

Data Engineer

151 PLN/ godz.
166 PLN/ godz.
MidFull-time
#443829·Dodano 3 dni temu·1
Źródło: emagine
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Tech Stack / Keywords

DatabricksMicrosoft FabricAzure Data PlatformPower BISQLDAXPower QueryPythonRPower Automate

Firma i stanowisko

This position is in the IT / energy sector and combines Data Engineering, Analytics Engineering, and Business Consulting. The role requires a senior professional who can integrate strong data platform expertise with stakeholder engagement and solution consulting. The project language is English and the location is remote.

Wymagania

  • Master's degree in Computer Science or related field.
  • 4+ years of experience in Business Intelligence, Analytics, or Data Engineering.
  • Strong hands-on experience with Databricks.
  • Experience with Microsoft Fabric.
  • Knowledge of Azure Data Platform.
  • Strong Power BI knowledge.
  • Good SQL and DAX skills.
  • Data modeling experience.
  • Experience working with large datasets.
  • Business analysis and KPI definition experience.
  • Ability to engage with business stakeholders and drive solution discussions.

Nice to have:

  • Knowledge of Power Query (M).
  • Experience with Python or R.
  • Experience with Power Automate.
  • Familiarity with Microsoft Copilot.
  • Advanced Excel skills.
  • Data Governance experience.
  • Experience in IT Security, Cybersecurity, or Risk Reporting domains.

Obowiązki

  • Gather, analyze, and refine business requirements.
  • Translate business needs into data and analytics solutions.
  • Work with user stories delivered through the SCRUM backlog.
  • Design and refine data models for analytics and reporting.
  • Develop and enhance Power BI reports and dashboards.
  • Work with semantic models and large-scale datasets.
  • Support IT Security reporting and vulnerability analytics initiatives.
  • Analyze results from security scans and monitoring processes.
  • Collaborate with stakeholders to define KPIs and reporting requirements.
  • Contribute to the evolution of Databricks- and Fabric-based analytics solutions.
  • Participate in maintaining and optimizing existing data products.
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