This post is also available in: English (Engelska)

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.

If this sounds interesting, please send your CV to cv@veritaz.se