Backend / Data Engineer

Ecobloom is a Stockholm-based startup within the area of smart indoor farming. We bring nature closer to people by empowering them to grow their own food in a fun and interactive way. By combining an ancient growing method with modern technology, we hope to revolutionize the way we grow food. We are a small team with a shared vision to help create a better and more sustainable place for future generations. And we look for like-minded people who share the same goal. Is that you?


Responsibilities
Be a valuable member of our engineering team that focuses on building and delivering high-potential software and hardware products for smart indoor farming - we are a startup, so the ideal candidate will take the initiative to innovate and take responsibility for their work
Help us build scalable and reliable cloud solutions for our microservice-based software products
Contribute to the backend architecture of our products by improving on existing features and developing new features from scratch
Ensure that data acquired by our sensors seamlessly find their way to our databases and data warehouse, and ensure that the quality and the organization of data are suitable for subsequent data analysis
Contribute your thoroughly tested and well-documented code by utilizing and improving on our robust CI and CD pipelines
Work closely with our frontend engineers and firmware/hardware engineers



Requirements and Qualifications
BSc or MSc in Computer Science, Electrical Engineering, Mathematics, or in a similar quantitative field with at least 1 year of professional backend or data engineering experience (MSc is viewed as merit)
Outstanding communication and time-management skills, and the ability to work autonomously in a fast-paced work environment
Professional experience using Git, GitHub, and GitHub Actions for version control, and CI/CD
Professional experience in building backend systems, preferably with Python and Django
Experience with communication protocols such as HTTP, and Pub/Sub
Experience with cloud platforms, preferably Google Cloud Platform
Good knowledge of SQL
Exposure to Javascript, CSS, and HTML that allows for close collaboration with frontend engineers
Exposure to embedded systems development with C/C++ that allows for close collaboration with firmware/hardware engineers
Exposure to good practices in software testing



Bonus Points
Exposure to containerization and container orchestration systems such as Docker and Kubernetes
Understanding and experience in using machine learning algorithms such as Regression, Naive Bayes, Random Forest, Support Vector Machines, and Neural Networks