Job description

As a Data Engineer, you will be instrumental in developing and scaling our data integration capabilities. You will work with a modern, cloud-native stack and be a key player in building the future of our platform.

What about the project:

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.

What you will do:

• 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.

What you need:

• 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.

What's in it for you:

• 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.