What we do at Qliro At Qliro we deliver safe and simple payments.
We are a dedicated partner to our merchants who serve their customers every day.
We believe that if our merchants grow, we grow.
We are a company of dedicated, friendly and highly competent people that together have redefined what Qliro and payments can be.
We are now on a journey of scaling our business both here in Sweden and the Nordics.
What your team does We're a data team responsible for the data platform that powers Qliro's Analytics and data producs, handling over 50 TB of data!
We believe great work can be done anywhere, that's why we offer flexible remote work.
Join us and leverage your data expertise to build high-impact data products that fuel business decisions and power our machine learning models serving millions of customers.
How you'll make a difference: - Wrangle massive datasets related to Payments.
- Design, develop, and implement data pipelines for efficient data flow.
- Champion data quality and ensure its accuracy for critical business decisions.
- Utilize cutting-edge tools like AWS, Snowflake, GitLab, and dbt to build a robust data platform.
- Partner with cross-functional teams (Product, Finance, Credit and Tech teams) to translate data into data products and building the foundation for Analytics.
What you bring to the team - You are highly experienced in the majority of our techstack, but most importantly in SQL, Python, dbt and Snowflake (or similar cloud data warehouse)
- You bring value to the business by using data, preferably within financial and/or related industries
- You are logical and analytical minded and are able to communicate technical content to end users
- Passionate about solving complex business problems bybuilding data products with high quality and velocity
- You are someone who continuously seeks improvements, enjoys learning new tools and techniques and having fun together as a data team.
Our stack:Snowflake, dbt, Airflow, Docker, AWS & Tableau
Does this sound like your next role?
What are you waiting for
- apply now!