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Analytics Engineer

Job Overview

Location

Remote International

Job Type

Full-time

Category

Data Engineer

Date Posted

April 22, 2026

Full Job Description

đź“‹ Description

  • • As an Analytics Engineer at Sweed AB, you will build and maintain scalable, trusted data models that power both client-facing and internal analytics for a cannabis retail platform used by retailers to make daily business decisions.
  • • Your day-to-day responsibilities include developing dbt-based incremental pipelines, implementing data quality tests, owning conformed dimensions, collaborating with the Data Architect and product teams, translating business needs into precise metric definitions, and ensuring the reliability and freshness of client-facing reports.
  • • Sweed AB is a remote-first, product-driven startup with over 200 employees globally, building an all-in-one cannabis retail platform that combines POS, eCommerce, Marketing, Analytics, and Inventory Management into a single seamless solution.
  • • In this role, you will deepen your expertise in modern data stack technologies (dbt, Trino, ClickHouse, Airflow, Cube.dev, Metabase), strengthen your data modeling and testing practices, and grow your ability to communicate complex data logic to technical and non-technical stakeholders while contributing to a mission-driven company improving access to medicinal cannabis.

Skills & Technologies

Remote

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About Sweed AB

Swedish fintech Sweed AB delivers cloud-based point-of-sale and business-management software for restaurants, cafés, and fast-food chains across the Nordics. The platform unifies order taking, payments, inventory, staff scheduling, accounting, and customer loyalty in one SaaS suite that runs on iOS, Android and web. Real-time dashboards and AI-driven analytics help owners cut costs, speed service and increase revenue, while open APIs connect seamlessly to accounting, delivery and marketing services. Founded in Stockholm in 2016, Sweed targets small to mid-sized hospitality businesses seeking an integrated, mobile-first alternative to legacy POS systems.

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