Auto-apply is a Pro feature

Let Findyet apply to this job for you:

  • Your CV is tailored to this posting.
  • The application form's questions are answered from your profile.
  • You review everything and approve before anything is sent.
  • Findyet submits the application and adds it to your tracker.

Available on Greenhouse postings today, up to 3 applications a day on Pro.

The first 100 verified accounts get Pro free for 90 days.

See plans

SoftwareOne

(Senior) Data Engineer - Microsoft Fabric | Azure

Posted
Discussion

Summary

Senior Data Engineer building enterprise-scale Microsoft Fabric and Azure data platforms, designing scalable pipelines, lakehouse/warehouse solutions, and data products with SQL, Python, and PySpark.

  • Do you enjoy building modern cloud data platforms that create real business value?
  • Are you passionate about Microsoft Fabric and the future of data analytics in Azure?
  • Would you like to work on complex enterprise projects while collaborating directly with customers and technical experts?

Practical Information:

Location: Budapest, Hungary | Reports to: Team Lead Data | Work Arrangement: Hybrid (3 days in the office as customer requirement) | Visa Requirements: Valid work visa for Hungary| Language Requirements: Professional level English& Hungarian

As Data Engineer you`ll be part of our Data & AI practice, and join a team of experienced data, cloud, security, and AI specialists who design and deliver enterprise-scale solutions for customers across multiple industries. This is an opportunity to play a key role in building data platforms powered by Microsoft Fabric and Azure. You will combine hands-on engineering with solution design, technical consulting, and collaboration with customer stakeholders to deliver business-critical data solutions.

Key Responsibilities:

  • Design and implement modern data solutions using Microsoft Fabric and Azure services.
  • Build scalable data pipelines, lakehouse and warehouse solutions that support analytics and business reporting.
  • Develop data transformations and data products using SQL, Python, and PySpark.
  • Design reusable data models and contribute to enterprise data platform architecture.
  • Collaborate with technical and business stakeholders to translate requirements into robust solutions.
  • Support technical workshops, solution proposals, knowledge sharing, and mentoring within the team.

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
Apply

See also

Data Engineering jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.