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Veritaz ABRemote

Senior Data Engineer – 14751

Deadline: 2026-01-10

Description

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

We are looking for a Senior Data Engineer to join our dynamic team.

What you will work on:

  • Design, build and maintain scalable data pipelines and integrations in a modern Azure-based environment
  • Develop robust solutions using Python, ensuring high performance, reliability and maintainability
  • Implement and optimize ETL/ELT workflows, data lakes and real-time data processes
  • Work with APIs and integration patterns to enable seamless data flow across systems
  • Collaborate with technical and non-technical stakeholders to understand requirements and translate them into efficient data solutions
  • Contribute to solution design, troubleshooting and continuous improvement of data engineering practices
  • Operate independently with a strong delivery focus in a consulting environment with limited onboarding

What you bring:

  • Strong proficiency in Python and hands-on experience working in Azure environments
  • Solid understanding of data pipelines, APIs and integration patterns
  • Experience with ETL/ELT processes, data lakes and real-time data processing
  • Knowledge of cloud-based data engineering and large-scale industrial or enterprise systems
  • Strong analytical and problem-solving skills with a pragmatic, solution-oriented mindset
  • Ability to work independently and deliver results under time constraints
  • Excellent communication skills and ability to collaborate with diverse stakeholders

*Detta är en jobbannons med titeln "Senior Data Engineer

  • 14751" hos företaget Veritaz AB och publicerades på den 11 december 2025 klockan 13:32.*

Skills

Data EngineeringEtlAzurePython