Fabric Analytics Engineer - Lakehouse & BI Excellence

Vincit

Jyväskylä

On-site

EUR 50,000 - 61,000

Full time

12 days ago
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Benefits offered by this job

Lunch benefit
Healthcare and dental services
Insurance

Job summary

Vincit is seeking a Fabric Analytics Engineer to design, build, and govern modern data lakehouse solutions and reporting for a diverse set of customers in Jyväskylä. You will work across Microsoft Fabric, Lakehouses, and semantic models, delivering both advisory guidance and hands-on delivery.

You’ll collaborate with data engineers and business users to ensure reliable, enterprise-grade analytics, with opportunities to apply AI-driven data capabilities.

Qualifications

  • Several years of hands-on experience with Microsoft Fabric and BI tooling.
  • Strong Power BI experience, ideally with Premium environments.
  • Understanding of data warehousing and semantic modeling.
  • Experience with Data Factory, Lakehouse and warehouse solutions.
  • Experience delivering analytics at enterprise scale.

Responsibilities

  • Work across the Fabric platform to build and maintain Lakehouses, data warehouses, and semantic models.
  • Advise on existing solutions and guide customers on best practices for reporting distribution.
  • Support development teams and business users to keep reports reliable and useful.
  • Troubleshoot production data model or refresh issues quickly.
  • Spot opportunities to improve data models and ways of working for broader impact.

Skills

Finnish language
English language
Problem solving
Customer focus
Hands-on data analytics

Education

Microsoft Certification: Fabric Analytics Engineer Associate (DP-600)
Microsoft Certification: Fabric Data Engineer Associate (DP-700)

Tools

Microsoft Fabric
Power BI
Data Factory
Lakehouse
Semantic Modeling

Job description

Vincit is seeking a Fabric Analytics Engineer to design, build, and govern modern data lakehouse solutions and reporting for a diverse set of customers in Jyväskylä. You will work across Microsoft Fabric, Lakehouses, and semantic models, delivering both advisory guidance and hands-on delivery.

You’ll collaborate with data engineers and business users to ensure reliable, enterprise-grade analytics, with opportunities to apply AI-driven data capabilities.

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