Analytics Engineer
Fortnox AB5 months ago
Stockholm, SwedenSenior
Responsibilities
- Build production data models in dbt and BigQuery.
- Ingest and model Kafka backend events and Piwik Pro frontend events.
- Develop business logic for product concepts such as activation, login, and customer journeys.
- Own structure, standards, and quality for the product domain in the data platform.
- Document models and events so stakeholders and AI agents can interpret them correctly.
- Build tools and context that enable product teams to add measurements and retrieve data independently.
Requirements
- Experience building dbt models in production with SQL as the primary tool.
- Experience working with event data and handling inconsistent or poorly documented events.
- Ability to understand the business questions behind data models.
- Ability to explain technical work to people who do not work with data daily and challenge unclear requirements when necessary.
- Strong focus on data quality, consistent naming, and coherent definitions.
- Fluent written and spoken Swedish and English.
Tech Stack
Categories
Data Engineering
About Fortnox AB
Fortnox AB builds cloud-based financial and administrative software for small businesses, associations, and accounting firms in Sweden. Its subscription SaaS suite covers bookkeeping, invoicing, payroll, CRM, and e‑invoicing, with APIs and an app marketplace for integrations. Founded in 2001 and headquartered in Växjö, Fortnox is a public company with a growing focus on embedded automation and AI across its products.