Kafka Engineer

Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team.

Requirements

Strong hands-on experience with Jinja SQL and dbt for building and managing scalable data transformation pipelines. Proven experience with Google Cloud Platform (GCP), including BigQuery, Cloud Functions, and Python-based development. Solid understanding of data warehousing concepts and dimensional data modeling methodologies, such as Kimball.

Experience with version control systems (GitHub), CI/CD practices, and Infrastructure as Code using Terraform. Excellent verbal and written communication skills in English. Proficiency in Swedish, both spoken and written. Experience with Kafka or other event-streaming and messaging platforms. Additional GCP expertise, including Dataflow, Cloud Run Services, Cloud Run Jobs, and Cloud Build.

Experience with Google Looker and a strong understanding of semantic data modeling concepts. Exposure to AI agent development frameworks and architectures (e.g., A2A). Hands-on experience with AI-assisted development tools such as GitHub Copilot, Claude, or similar solutions. Business-focused mindset with the ability to align technical solutions to organizational objectives.

Strong sense of ownership, accountability, and responsibility for deliverables. Ability to balance attention to detail with a broader strategic perspective. Passion for data-driven decision-making and the ability to mentor and guide colleagues in data-related best practices. Excellent stakeholder management, communication, and interpersonal skills.

Proactive, collaborative, and adaptable approach to working across both business and technology teams.

Benefits

A challenging, innovating environment. Opportunities for learning where needed.