Our client is a forward-thinking technology company on a bold mission: to build the AI foundation for SaaS growth. Their platform transforms data chaos into clarity – empowering businesses with an integrated, intelligent core for better decision-making, deeper insights, and scalable automation.

Founded and backed by seasoned entrepreneurs from successful Scandinavian ventures, the company is purpose-built for long-term impact. Their vision combines technical excellence with a strong product mindset – creating tools that are not only powerful, but built to last.

They foster a culture where engineers solve meaningful problems with autonomy, transparency, and mutual trust. It’s a place where curiosity is welcomed, and every team member plays a key role in shaping the future of AI-driven SaaS infrastructure.

• Design, build, and manage scalable data solutions within Microsoft Fabric, including Data Factory, lakehouse architecture, and Fabric workspaces.
• Develop and maintain data pipelines with a focus on real-time streaming, ETL/ELT processing, and data transformation best practices.
• Ensure data quality and governance by implementing robust frameworks for validation, cleansing, and lineage tracking.
• Work with REST APIs, webhooks, and custom integrations to connect diverse data sources and enable automated workflows.
• Apply knowledge of tenant-level data partitioning, security boundaries, and resource isolation to build secure, compliant data environments.
• Collaborate on CI/CD practices in Microsoft Fabric, including Git integration, deployment pipelines, and workspace lifecycle management.
• Use Python for data processing, automation scripts, and the development of custom integration components.
• Leverage Azure data services for storage, compute, and analytics, ensuring cost-effective and performant solutions.
• Apply Infrastructure as Code techniques (e.g., ARM templates, Bicep, Terraform) to provision and manage cloud resources reproducibly.
• Support integration with SaaS platforms, ensuring alignment with common middleware patterns and SaaS-specific operational models.

• 3+ years of experience as a Data Engineer.
• Proven experience with Microsoft Fabric architecture, including Data Factory.
• Hands-on experience with Fabric workspaces, data pipelines, and lakehouse architecture.
• Knowledge of tenant-specific data partitioning, security boundaries, and resource allocation.
• Proficiency with REST APIs, webhooks, and real-time data streaming.
• Experience with data transformation, ETL/ELT processes, and data quality frameworks.
• Knowledge of common SaaS integration patterns and middleware solutions.
• Strong Python programming skills for data processing, automation, and custom integrations.
• A strong background in Azure data services.
• Experience with Infrastructure as Code (ARM templates, Bicep, or Terraform).
• Expertise in Microsoft Fabric CI/CD using deployment pipelines, Git integration, and workspace lifecycle management.
• An understanding of SaaS business models, scaling challenges, and operational requirements.
• Upper-intermediate English level.

• Ownership – we trust that you will do the right things to deliver maximum impact.
• Transparency – we say what we think and every voice is heard and respected, even when our opinions differ.
• Service – whether it’s for our customers or teammates, we always support each other.
• No bureaucracy, no micromanagement.
• Flexible working schedule – you plan your working day based on your tasks and meetings.