Data Engineer

Job description

# **Hi there!** We're [**SweedPos**](https://sweedpos.com/#/)**,** a product-driven startup building an all-in-one cannabis retail platform. We’re on the lookout for a **Data Engineer** to join us remotely and help us scale and optimize our platform. # **About Us** **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. # **Why We’re Doing This** 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. # **Where We Are Now** 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. # **Team Structure** Our **total team size is over 200 people**: **The development team is distributed globally** and organized into **cross-functional product teams.** These teams typically consist of 8–12 members, including front-end and back-end developers, QA specialists, and analysts. Each team is led by a Team Lead and a Product Owner, ensuring effective collaboration and clear direction. Meanwhile, our **CEO, account managers, and customer success team are based in the USA**, working closely with us to align product development with business and user needs. # **Why This Role Matters** Our customers — cannabis retailers — rely on accurate, timely, and trustworthy data to run their business. From sales analytics to inventory tracking and operational reporting, our data pipelines are mission-critical. As a Data Engineer, you’ll be at the center of our data ecosystem: ensuring that data flows from our product, integrations, and third-party systems into our analytics and operational platforms with speed, accuracy, and reliability. Your work will enable analysts, product teams, and leadership to make better decisions — and will directly impact the features our customers use every day. # **What to do in the project?** - **Design, build, and maintain data pipelines** using **Airflow**, and **Trino** to ingest and process data from multiple systems (databases, APIs, event streams, 3rd-party integrations). - **Improve observability** — implement monitoring, validation, and alerting for pipelines to ensure accuracy and consistency. - **Develop and maintain the platform** — deploy, monitor and maintain services in our aws cloud - **Collaborate with cross-functional teams** — work closely with Product Analytics, Data Architecture, and Engineering teams to define data requirements and deliver them effectively. - **Optimize performance and cost** — fine-tune queries, pipelines, and storage for speed and efficiency. # **What professional skills are important to us?** - 3+ years of experience in data engineering or a related field. - Strong proficiency in **SQL** and **Python**. - Hands-on experience with: - **Airflow** for workflow management - **OLAP** databases, distributed query engines and data processing frameworks (**clickhouse**, **trino**, **spark** etc) for analytical workloads - Solid understanding of data modeling and data engineering best practices - Familiarity with event-based data architectures and streaming (**spark**, **flink**) - Bonus points for: - IaC: **terraform**, **terragrunt** for cloud infrastructure deployments - IaC: **helm**, **kustomize**, **argocd** for k8s deployments - Experience with building and owning cloud infrastructure # **What Else Matters?** - **Proactivity** – We love team members who take initiative and provide feedback - **Critical thinking** – We value problem-solvers who think beyond just writing code - **Adaptability** – Our industry is evolving fast, and we need people who thrive in change # **What We Offer** - **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: 10:00-16:00 CET (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.) # **Hiring Process** - **Recruiter Call** (45 minutes) – Includes a short English check - **Live-coding session** (1 hour) - **System Design** (1 hour) - **Final Interview** (up to 45 minutes)