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Veritaz AB

Veritaz AB

Senior Data Engineer – 13783

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 and reliable data pipelines and backend systems that enable efficient data processing and analytics.
  • Develop and optimize data solutions in AWS Cloud, ensuring robustness, performance, and security.
  • Work extensively with Snowflake to design and manage data warehouses, supporting high-quality data delivery.
  • Implement strong data governance practices and collaborate with teams to ensure data quality, integrity, and compliance.
  • Contribute to improving data quality and cleaning processes as a foundation for analytics and business insights.
  • Explore and apply Data Mesh principles, supporting decentralized and scalable data architectures.
  • Collaborate closely with cross-functional teams including analysts, data scientists, and software engineers to deliver end-to-end data solutions.
  • Continuously evaluate and integrate new tools and technologies to enhance data infrastructure and engineering capabilities.

What you bring:

  • Proven experience in backend development and data engineering, with a focus on scalable, production-grade data systems.
  • Strong hands-on experience with AWS cloud architecture and data governance frameworks.
  • Solid expertise with Snowflake, including performance tuning and optimization.
  • Deep understanding of data pipelines, ETL/ELT workflows, and data modeling principles.
  • Passion for data quality, validation, and cleaning to ensure reliable analytics.
  • Curiosity and interest in Data Mesh concepts and modern data architecture practices.
  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
  • Full professional proficiency in English (Swedish is a plus).
  • Experience with tools such as DBT, Witboost, or Collibra is an advantage.

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