Analytics Engineer
Indexed description
The Role
Data modelling is the core of this job. You'll design and own the semantic layer that makes Bravida's operational and financial data trustworthy, consistent, and accessible for reports today and generative BI tomorrow. AI isn't a side interest here; it's central to how we expect this role to operate and where we're taking our analytics capability.
- 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
What You Bring
- 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
- 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
Process: Intro call with hiring manager, then a practical technical case study followed by meeting the team and discussing the solution. Final step is meeting some of the Operations team and key stakeholders.
You must be eligible to work in Sweden and the EU.
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