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 and develop data products by collaborating with your team to build and maintain scalable data products based on business needs and requirements.
• Provide expert guidance on creating and operating data products, ensuring they align with technical standards and industry best practices.
• Take ownership of the technical design within the product area, adhering to architectural guidelines and driving technical excellence.
• Partner with your Product Owner to break down work packages, estimate complexity, and plan upcoming sprints.
• Collaborate with key stakeholders and System Architects to ensure solutions meet organizational goals.
• Work with modern technologies, such as Python, Apache Spark, Azure, Docker, Databricks/Snowflake, and GitHub as part of your daily toolkit.
• Promote best practices and improve efficiency in the development and operation of data products through continuous improvement.

What you bring:

• Extensive experience (8+ years) in data engineering with a strong background in modern data architecture principles.
• Hands-on expertise in designing, developing, and maintaining data pipelines in an agile environment.
• Proficiency with cloud platforms, particularly Azure and AWS, and experience in managing cloud-based data infrastructures.
• Practical experience in data modeling, data access, and storage techniques, including hands-on work with Databricks or Snowflake.
• Solid understanding of CI/CD processes, orchestration tools (e.g., Airflow, Prefect, Dagster), and data streaming (e.g., Apache Kafka).
• Strong knowledge of DevOps, GitOps, Infrastructure as Code (IaC), and networking concepts.
• A commitment to improving both code quality and the integrity of the data being managed.
• Experience in data privacy and protection methods, ensuring compliance with security standards.
• A proactive, solution-oriented approach, balancing the need for high-quality, scalable solutions with practical delivery.
• Ability to work independently while thriving in team settings, contributing to a culture of continuous improvement.
• Fluency in English (written and verbal) and familiarity with agile methodologies.

Additional expertise:

• Experience in data governance and modern data architecture concepts, such as data mesh.
• Ability to apply product thinking when building data solutions.
• Familiarity with reporting and business insights generation.
• Experience in the automotive industry (a plus).