Data Engineer

We're SweedPos, 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.

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 data quality and reliability — 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.

• Document data assets — maintain clear documentation for data sources, pipelines, and models.

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: 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.)