How do you turn data into real business impact? Can your pipelines keep up with the speed of innovation? Are you ready to shape the future of air travel?

At KUBO, we help our clients reach their full potential by connecting them with top tech talent. This time, we’re supporting a client building digital solutions for the airline industry—and we need your skills in data engineering to make it happen.

Join us to design smarter, faster systems—both on-prem and in the cloud—and play a key role in their AI journey.

Key responsibilities

• Build and maintain robust data pipelines using tools like dbt, Airflow, and SQL
• Guide product teams in best practices for data testing, versioning, and deployment
• Ensure data quality through automated testing frameworks (e.g., Great Expectations)
• Collaborate closely with data scientists and developers to streamline workflows
• Help define and evolve our data architecture across cloud (AWS) and on-prem systems

Ideal candidate profile

• Proficient with common data engineering tools (e.g., SQL, dbt, Airflow, Great Expectations)
• Experience with both cloud and on-prem environments; AWS is a big plus
• Skilled at establishing best practices and mentoring teams in data operations
• Comfortable with CI/CD for data pipelines and automated testing
• Nice to have: Terraform and infrastructure as code experience
• Bonus: Familiar with Docker and Kubernetes for containerized workflows

Conditions

• Location: Gothenburg
• Work Model: Hybrid (3+ days/week onsite)
• Employment Type: B2B contract / Consultant (egenföretagare)
• Salary: Based on experience

Recruitment steps

• Initial call with a KUBO recruiter & (Optional) Technical tests related to tools or technologies used in the project
• Interview with the development team
• Mob programming session
• Decision and feedback