Analytics Engineer

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🕒 April 21

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Sweed POS

WebsiteLinkedInAll Job Openings

11 - 50 employees

🛒 Retail

🛍️ eCommerce

🤝 B2B

Retail • eCommerce • B2B

Sweed POS is a comprehensive platform designed to streamline cannabis retail operations. It offers a wide range of integrated tools including point of sale systems, marketing and loyalty programs, inventory management, and eCommerce solutions tailored specifically for the cannabis industry. With features such as advanced customer management, integrated payments, and multi-location logistics, Sweed POS empowers cannabis retailers to enhance their brand presence and operational efficiency. The platform is designed to seamlessly manage retail operations without the need for third-party systems, providing a holistic and intuitive experience for cannabis businesses.

📋 Description

• 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

🎯 Requirements

• 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 — you’ll communicate with internal teams and sometimes with external clients • 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

🏖️ Benefits

• 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.)