(Senior) Data Engineer (m/f/x) onsite or remote in Germany

Scalable Capital is a leading digital investment platform in Europe. The company empowers everyone to shape their financial future. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs and other exchange-traded products and set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios and is also adopted as a white-label solution by renowned B2B partners. With the European Investor Exchange (EIX) Scalable Capital offers a stock exchange for retail investors in Europe. Over 20 billion euro is held on the platform by more than one million clients.

Scalable Capital was founded in 2014 and employs more than 500 people at its offices in Munich, Berlin, Vienna, and London. Together with the founding and management team around Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.

Visit our finance blog or check out our Social Media channels 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).

• Develop our scalable cloud-based data backbone which drives our data-driven company using the most up-to-date technologies in the data space
• Shape an AWS based streaming and batch data processing solution, ingesting data from 3rd party as well as our internal backend services
• Create a financial data warehouse combining latest technologies with features required by regulatory requirements
• Prepare and clean structured and unstructured data and develop high-quality data models for advanced analytics, machine learning and AI use cases
• Work with highly ambitious and skilled people in our growing data department
• Work closely together with our data scientists, product & development colleagues to release smart features for our product
• Build interactive dashboards and reporting solutions to support stakeholders, such as management, marketing, sales and quantitative research
• Share your expert knowledge about data best practices within the company

• Excellent University degree in computer science, mathematics, natural sciences, or similar field and relevant working experience
• Experience designing and operating data pipelines in AWS
• Excellent SQL Skills, including advanced concepts such as window functions, experience with dbt is a plus
• Very good programming skills in Python, including frameworks like PySpark
• Knowledge of Java and Kotlin is a plus
• Experience with AWS Services like S3, Athena, Redshift and Glue
• Experience using infrastructure-as-code tools such as terraform
• A passion for everything-as-code and code that is well architected, testable and documented
• Data-driven and good with numbers whilst being able to explain complex concepts in simple terms
• Experience using agile frameworks like Scrum
• Interest in financial services and markets
• Fluent English communication and presentation skills
• Sense of humour and positive outlook on life

• 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
• 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, Berlin, or choose to work remotely within Germany (if eligible for the job)
• Be productive with the latest hardware and tools
• Learn and grow by joining our in-house knowledge sharing sessions and spending your individual Education Budget