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

Company DescriptionScalable 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 27 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).Job DescriptionDevelop our scalable cloud-based data backbone which drives our data-driven company using the most up-to-date technologies in the data spaceShape an AWS-based batch data processing and data streaming solution, ingesting data from our internal backend services as well as from third partiesCreate a financial data warehouse combining the latest technologies with features required due to regulatory needsPrepare and clean structured and unstructured data and develop high-quality data models for reporting, advanced analytics, and AI use casesWork with highly ambitious and skilled people in our growing data teamsWork closely together with our data scientists, product & development colleagues to release smart features for our productShare your expert knowledge about data best practices within the companyQualificationsExcellent University degree in computer science, mathematics, natural sciences, or a similar field and relevant working experienceExperience designing and operating data pipelines in AWSExcellent SQL Skills, including advanced concepts such as window functions. Experience with dbt is strongly desiredVery good programming skills in Python, ideally including Airflow and data processing frameworks (e.g. PySpark)Knowledge of Java and Kotlin is a plusExperience with AWS Services like S3, Athena, DMS and GlueExperience using infrastructure-as-code tools such as TerraformA passion for everything-as-code, and code that is well architected, testable and documentedData-driven and good with numbers whilst being able to explain complex concepts in simple termsExperience using agile frameworks like ScrumUnderstanding of data governance requirements for a regulated industryInterest in financial services and marketsFluent English communication and presentation skillsSense of humour and positive outlook on lifeAdditional InformationBe 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 customersWork with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clientsWork from our centrally located offices in the heart of Munich or Berlin, nestled in lively neighborhoods filled with vibrant restaurants, cozy cafés, and a wide range of convenient amenities or choose to work remotely within Germany (if eligible for the job)Be productive with the latest hardware and toolsLearn and grow by joining our in-house knowledge sharing sessions and spending your individual Education Budget Originally posted on Himalayas

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