Azure Data Engineer & Power BI Specialist

Zurich 56 Company Ltd

Ulster

On-site

EUR 75,000 - 110,000

Full time

5 days ago
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Job summary

Zurich 56 Company Ltd is seeking a data engineering professional to design, build, and maintain the Data Warehouse and Datamarts. You will develop ETL processes, create automated reports and dashboards in Power BI, and ensure data accuracy in Azure cloud platforms.

You will collaborate with IT and SMEs, drive data governance, and support analytics across the business. The role requires 5+ years of data engineering experience, strong Azure / Power BI skills, and the ability to work in an agile

Qualifications

  • Bachelor or Master degree in computer science.
  • 5+ years of experience in data engineering and Azure cloud services.
  • Experience architecting data solutions on Azure and software development.
  • Proficiency in big data, analytics, database modeling/management, DevOps and AI services in Azure.

Responsibilities

  • Design, build and maintain the Data Warehouse/Datamart models aligned with business needs.
  • Create and maintain modern data pipelines for company-wide data access.
  • Develop ETL processes and automated reports/dashboards using Power BI.
  • Collaborate with IT to ensure accurate data in cloud platforms and monitor data pipelines.
  • Produce technical documentation and support data governance practices.

Skills

Data engineering
Azure cloud services
Power BI
Architecting data solutions
Agile delivery
Ownership & delivery

Education

Bachelor/Master in computer science

Tools

Azure Synapse
Databricks
dbt
n8n
Claude Code
Copilot Studio

Job description

Zurich 56 Company Ltd is seeking a data engineering professional to design, build, and maintain the Data Warehouse and Datamarts. You will develop ETL processes, create automated reports and dashboards in Power BI, and ensure data accuracy in Azure cloud platforms.

You will collaborate with IT and SMEs, drive data governance, and support analytics across the business. The role requires 5+ years of data engineering experience, strong Azure / Power BI skills, and the ability to work in an agile

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