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You know the feeling when you meet a new person, or start a new job and it just feels right? That's how we would like you to feel when joining the Qred family. We might be a little biased but we can think of a million reasons why Qred is the best place to work, here’s just a few of them:
💚 There is room for everyone! We are a very diverse team that learns from each other. We believe you will do amazing things here - no matter who you are.
🌱 We’re proud to be the first Swedish company that made it to the top-10 list of Financial Times’ list of the 1,000 fastest-growing companies in Europe. We are also the first Swedish company ever to make it onto the list four years in a row!
🍾 We love to celebrate everything from the smallest successes to our largest wins! And we love to hang out across teams and really enjoy each other's company, both during working hours as well as after.
Ok, sounds cool but what about the role?
This is a role where you will be playing a significant role in designing, implementing, iterating, and improving the data lake and data warehouse in our company. Your daily responsibilities will include the data preparation for different consumers, including data scientists, software engineers and business & data analysts and help them to find the data they need. Nowadays, our technical stack consists of Python, AWS, Redshift, Postgres, Java and node.js.
Sounds like a good way of working right? Here’s what we're looking for:
- Experience with data warehousing, ETL processes, building and orchestrating data pipelines, pref aws glue or aws glue databrew
- Fluent in Python, SQL and/or other relevant languages
- Experience with relational database, schema design and dimensional data modeling
- Solid knowledge of cloud based platforms like AWS, GCP or Azure
- Hands-on experience with big data storage concepts such as Redshift, Snowflake, Big Query, or similar
Experiences that make you stand out from the rest:
- Experience with event-driven architecture in the cloud
- Experience in working with git/version control and in a ci/cd environment
- Big plus if you have some experience with machine learning projects and building data science infrastructure
- Understanding of microservices and APIs
- Prior experience in the financial industry is an advantage
Did you check in those boxes? Here are more reasons to join us
First of all, this is the place to be if you want to develop your skills. The company is growing fast, and our Qredsters along with it. Our non-bureaucratic, flat structure with delegated responsibilities has a short way from idea to action. “Got a cool idea? Good - try it out! Didn’t work? Oh well, on to the next idea!”.
One last thing - if you’re about to send in your application
This is a full-time, permanent position based in our headquarters in Stockholm. Don’t wait to send in your application asap, we are reviewing applications on a rolling basis. While the start date is flexible, the right candidate can join us immediately.