/Kafka Engineer

Kafka Engineer

Netherlandsnlvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
1 month ago

About the Role

GeekSoft Consulting | Fixed Term Employment

Stockholm, Sweden | Posted on 06/19/2026

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  • Industry Technology
  • Date Opened 06/19/2026
  • Job Type Fixed Term Employment
  • Work Experience 8+ years
  • State/Province Stockholm County
  • City Stockholm
  • Zip/Postal Code 100 05
  • Country Sweden
  • 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.
  • 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.
  • A challenging, innovating environment.
  • Opportunities for learning where needed.

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