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The Team:
We are building the analytical backbone of a company that believes decisions should be powered by clarity, not guesswork. Our Business Intelligence team doesn’t just build reports; we design systems that scale with the business. We care deeply about structure, governance, and long-term thinking.
Here, analysts don’t fight over metric definitions. Leaders don’t debate which number is “right.” AI tools don’t hallucinate their way through raw tables.
We are creating a world where every KPI has a home, every measure has a definition, and every insight is grounded in a trusted semantic foundation. If you’re someone who thinks in schemas, cares about grain discipline, and sees beauty in well-structured models, you’ll thrive here.
Your Role:
This is not a dashboard-building position.
This is not a data ingestion role.
This is about ownership.
As our Analytics Engineer, you will design, own, and scale the company’s semantic layer and governed metric framework. You will build the analytical abstraction layer that becomes the single source of truth for company KPIs—and the foundation that enables reliable, AI-driven self-service analytics.
Your work will directly shape how both humans and AI tools (such as Claude) understand and interact with business data. You won’t just define metrics, you’ll define how the company thinks about performance.
What You'll Be Doing:
Design and maintain scalable star schemas within our SQL Server data warehouse, ensuring clarity and long-term maintainability
Define and rigorously enforce grain discipline across all fact tables
Architect and optimize Power BI semantic (Tabular) models for cross-company usage
Define, formalize, and document core business KPIs across Revenue, Conversion, Retention, Payments, and Finance
Establish and fully own a governed metric layer managed by BI
Create and maintain a structured KPI registry with approved measures, dimensions, and filters
Design the semantic layer to enable controlled AI access to metrics—without exposing raw tables or ambiguous logic
Ensure AI tools can safely and consistently answer analytical questions using governed definitions
Improve dataset performance through aggregations, partitioning, and incremental refresh strategies
Eliminate metric duplication and resolve conflicting definitions across reports
Provide architectural guidance to analysts building on top of the semantic layer
Contribute to long-term BI platform and analytics architecture decisions
What You'll Need:
7+ years of experience in Analytics Engineering, BI Architecture, or advanced BI development
Deep expertise in dimensional modeling (Kimball methodology, star schemas, fact/dimension design, grain definition)
Strong hands-on experience with Power BI semantic models (Tabular, measures, relationships, perspectives)
Advanced SQL skills with strong performance awareness
Proven experience designing and governing metric layers in production environments
A systems-thinking mindset with structured, architectural discipline
Experience building analytics foundations that scale across multiple departments
Clear communication skills and the ability to document complex logic with precision
Nice If You Have:
Experience enabling AI- or API-driven analytics access
Experience optimizing large-scale Power BI datasets in production
Exposure to subscription or monetization-driven business models
Experience working in fast-growing B2C environments
What You Can Expect On Board:
Remote-first collaboration aligned with EU time zones
High ownership and architectural autonomy
Direct impact on company-wide decision-making systems
The opportunity to define how AI interacts with business data
A culture that values structure, clarity, and long-term thinking over quick fixes
Close partnership with leadership and cross-functional teams
The chance to build something foundational, not incremental
Annual company sailing week in the Mediterranean + team meetups across the EU
If you’re the kind of engineer who obsesses over clean schemas, precise definitions, and scalable architecture, this is your opportunity to build the analytical system that powers an entire company.
You won’t just create models. You’ll create trust.
You won’t just define KPIs. You’ll define clarity.
Join us and design the foundation that enables both people and AI to make smarter decisions, every single day.