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

Company Description

Scalable Capital is a leading digital investment platform in Europe that makes investing easy and affordable for everyone. Clients of the Scalable Broker can trade 8,000 stocks, 2,500 ETFs, and 3,500 funds and other exchange traded products to build their portfolios, earn interest on their cash balance and take secured loans. People can also have their investments professionally managed via the digital wealth management service. More than one million clients already use the services.

Scalable Capital was founded in 2014 and is active in Germany, Austria, France, Italy, the Netherlands, Spain, and the UK. The investment firm, which is supervised by BaFin and the Bundesbank, has more than 20 billion euros on its platform. In addition to its business for private clients, the company operates B2B solutions. Its long-standing partners include ING, Barclays Bank in the UK, the robo-advisor Oskar, and the Santander Group in Spain. Scalable Capital employs more than 500 people at its offices in Munich, Berlin, and London. Together with the founding and management team around Erik Podzuweit and Florian Prucker, they strive to empower everyone to become an investor.

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).

Job Description

• 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

Qualifications

• 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

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
• 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