Position: Data Engineer (Senior or Strong Moddle)
Company: Supernova Development
Experience required: 3y
English level: upper

When working with our clients, our focus is on business value. For us, work is only as good as its impact in the wild. We believe the magic happens when tight collaboration and exceptional expertise come together to turn great ideas into great products.


We are expanding our team and looking for individuals who love working in an interdisciplinary environment to solve real-world problems using their great technical skills. If you are a natural problem solver and passionate about data and seeing your ideas make a difference in production, we’d love to talk to you.


Your day to day activities:

- You will be working with our international client who is building a unique database of sports data that is used to support some of the world’s best professional sportsmen.
- Working alongside our experienced (data) engineers to optimize our client’s data pipeline and make it scalable as their database grows fast.
- Using cloud services, specifically Azure, to focus on delivering value instead of reinventing a wheel, i.e. building things from scratch when not needed.
- Deploying new functionalities in production from day 1, following best engineering practices, e.g. peer-reviewing, CI/CD, TDD, infra as code, etc.
- You will be also involved in technical decisions and directions, which will enable you to learn new technologies as well as to grow in your role fast

More about you:

- You are not afraid of SQL, but you hate spaghetti code, so you strive to optimize it. Perhaps you use DBT to build data models instead.
- You are comfortable with ambiguity - we don’t live in a perfect world and things aren’t always well defined, especially not when it comes to data.
- Learning new things is what motivates you - we strive to keep exploring and learning new technologies to keep up with state-of-the-art.
- Motivated by feedback and by the opportunity to grow in your role and as a team member.

Nice to haves:

- Experience with cloud technologies, ideally Azure.
- Exposure to Python or similar languages.
- Used to Agile ways of working (Kanban, Scrum).