Working Student Data Engineering (m/f/x)
Berlin, Germany
Applications have closed
Scalable GmbH
Der Broker mit Trading-Flatrate: Aktien, ETFs, Fonds, Kryptowährungen & Derivate handeln im kostenlosen Depot. Jetzt loslegen!Company Description
Scalable Capital is a leading digital investment platform in Europe.
Since our foundation in 2014, we pursue the mission to empower everyone to become an investor. With the Scalable Broker, Scalable Wealth, Scalable Crypto and our solutions for B2B partners we offer easy and cost efficient investing for everyone.
Today, Scalable Capital is a FinTech unicorn - we have more than 600,000 customers and more than 10 billion Euros on our platform.
Visit our finance blog or tune in to our podcast (both in German) to find out what our Expert Teams have to say.
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).
Job Description
- Developing a state-of-the-art data platform for our Broker, one of the fastest-growing products in Europe
- Implement a modern data stack based on AWS and shape our data models using dbt.
- Contribute to the development, improvement, and automation of our data pipelines.
- Be part of a motivated agile team with highly ambitious and skilled people in our growing data analytics department
Qualifications
- Excellent academic background in a quantitative discipline (computer science, mathematics, engineering, physics or a similar field)
- Good command of SQL and Python
- Experience with AWS
- Interest in Infrastructure-as-code with Terraform on AWS, data modelling with dbt (data build tool)
- Curiosity and enthusiasm to learn
- Fluency in English (written & spoken)
Additional Information
- Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
- The ability to work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
- Enjoy an office in a great location in the middle of Munich or Berlin
- Learn and grow by joining our in-house knowledge sharing sessions
- Work productively with the latest hardware and tools
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Computer Science Crypto Data Analytics Data pipelines Engineering Finance FinTech Mathematics Physics Pipelines Python SQL Terraform
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