Analytics Engineer

• Architect and own data models in dbt on Snowflake as the primary deliverable
• Define and enforce modelling standards, documentation, and data contracts across domains
• Build and manage pipelines in Dagster
• Work with AI tooling actively to accelerate your own output and enable smarter self-service for the business
• Drive our move toward generative analytics, shaping how business users query and interpret data through natural language
• Work directly with operations, procurement, and finance to model their domains properly
• Lead analytics data quality and reliability improvements across the stack

• 3+ years as an Analytics Engineer, Data Engineer, or Data Analyst
• Deep dbt experience
• you've built and maintained production-grade models others depend on
• Strong Snowflake or comparable modern platform experience
• Solid grasp of dimensional modelling, data contracts, and semantic layer design
• Active user of AI tools in your workflow and a view on how they change the job
• Genuine interest in generative BI and what it means for how businesses consume data beyond today
• Strong stakeholder management
• you can hold a room, push back constructively, and get buy-in from people who weren't looking for it
• You spot problems before they're reported and propose solutions before they're requested
• You make good calls with incomplete information and don't wait to be told what to build next
• English required
• Nordic languages a bonus

Nordic languages a bonus

• Ownership of a decision engine that matters at real scale
• A modern stack (Snowflake, dbt, Dagster) with active investment in AI and generative BI
• Direct access to senior stakeholders across operations, procurement, and finance
• A fast team with a real mandate, not a support function waiting for tasks
• Autonomy on your own career and continuous development