[Hiring] Analytics Engineer @Sweed

Role Description

We're SweedPos, a product-driven startup building an all-in-one cannabis retail platform. We’re looking for an Analytics Engineer to help us deliver high-quality, scalable, and trusted data models that power both client-facing and internal analytics. Fully remote.

As an Analytics Engineer, your work will directly power business decisions via clean, performant, and well-governed data models. You’ll be responsible for transforming raw data into reliable reporting layers, working closely with our Data Architect, engineers, product analysts, and sometimes even clients. You’ll also play a key role in enforcing data quality through testing and validation practices.

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or BI development
• Strong SQL skills and hands-on experience with dbt
• Solid understanding of data modeling for analytics/reporting, including fact/dimension and SCD patterns design
• Experience writing and maintaining data quality tests (e.g. dbt tests, custom SQL assertions, test coverage frameworks)
• Experience with modern cloud-based data warehouses (e.g. Snowflake, ClickHouse, Redshift, BigQuery)
• Excellent spoken and written English
• Grain fluency - instinct for when a join will fan out, double-count, or drop rows
• Reconciliation thinking - can trace a wrong mart number back to its source
• Metric definition - translates ambiguous asks into precise, defensible definitions
• Ability to clearly explain data logic and metric definitions to non-technical stakeholders
• Meticulous approach to documentation, testing, and ownership of data artifacts

Requirements

• Build and maintain analytics data models using dbt - incremental pipelines (merge strategies, hashdiff, SCD Type 1/2) across retail domains (sales, inventory, loyalty, marketing, promotions), with strong emphasis on structure, documentation, and maintainability
• Implement data quality tests and validation logic, ensuring accuracy and trust across reporting layers
• Own conformed dimensions as shared contracts across downstream consumers
• Collaborate with the Data Architect to apply consistent modeling standards and support architecture evolution
• Work with internal teams and sometimes clients to clarify requirements and align on metric logic
• Translate business needs into robust, reusable data models
• Ensure the integrity of client-facing reports, including reliability, freshness, and metric correctness
• Contribute to clear documentation, metric definitions, and data contracts
• Support the continuous improvement of our modern data stack: dbt, Trino, ClickHouse, Airflow, Cube.dev, Metabase

Benefits

• Salary in USD (B2B contract with the US company)
• 100% remote – We’re a remote-first company, no offices needed!
• Flexible working hours – Core team time: 09:00-15:00 GMT (flexible per team)
• 20 paid vacation days per year
• 12 holidays per year
• 3 sick leave days
• Medical insurance after probation
• Equipment reimbursement (laptops, monitors, etc.)

Company Description

At Sweed, we’re reimagining how cannabis retailers operate. Our enterprise-grade platform combines POS, eCommerce, Marketing, Analytics, and Inventory Management into a single, seamless solution—eliminating the need for multiple third-party tools.

We believe in simplicity, efficiency, and innovation. That’s why we build for scalability and performance, making life easier for cannabis retailers while driving real business growth.

At Sweed, we believe in the medicinal potential of cannabis. It has been shown to help with chronic pain, anxiety, depression, and many other conditions. Despite the lingering stigma, we see cannabis as a powerful tool for improving lives.

The industry is evolving rapidly, and we’re here to drive that transformation—making cannabis retail more efficient, accessible, and customer-friendly.

We’ve been on the market for 7 years, continuously growing and refining our product. Our focus is on earning customer trust, which means constantly improving our delivery processes and rolling out new features. At the same time, we navigate the complex legal landscape of the cannabis industry, ensuring our platform remains compliant and future-proof.