Analytics Engineer for Regulatory Reporting and Data Platform
As an analytics engineer, you will own the data stack, deliver effective data models, and contribute to the data-driven culture. You will shape data from internal services into consistent models, prepare and clean data, and develop high-quality data models for reporting purposes. You will also design and implement data testing and monitoring to ensure accuracy, reliability, and performance of data pipelines.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
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Job Description
Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as 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 banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €30 billion to the platform.
Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including 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).
As an analytics engineer in the regulatory reporting and data platform teams of our data engineering tribe, you play a crucial role in owning our data stack and delivering effective data models. You will be instrumental in building and maintaining robust data pipelines, making critical and reliable data available to various stakeholders throughout the company, and contributing to our data-driven culture.
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- Shape the data coming from a mixture of internal services into consistent, conformed models, and then further transform this data to serve specific teams and use cases.
- Prepare and clean structured and unstructured data and develop high-quality data models for reporting purposes
- Extend our AWS-based lakehouse by integrating data and building regulatory use cases to empower various teams in decision-making, drive innovation, optimise performance and ensure compliance.
- Design and implement data testing and monitoring to ensure the accuracy, reliability, and performance of data pipelines.
- Collaborate closely with highly ambitious and skilled people in our growing data teams, as well as product & engineering colleagues to release smart features for our products
- Maintain trustworthy documentation and data catalogues to ensure clarity, accessibility and correct governance of the data on our platform.
- Assist colleagues with understanding the data landscape, resolving problems and accessing data as needed.
- Stay up to date with the latest industry developments in data modelling and share your expertise best practices within the company
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- University degree in computer science, mathematics, natural sciences, or a similar field
- Significant knowledge and experience in designing and building data models for business analysis and regulatory purposes.
- Experience of working with cloud-based data lake services and an understanding of data lake concepts. Specific understanding of AWS and Athena is a plus.
- Excellent SQL skills, including advanced concepts such as window functions and an ability to optimise for performance while building queries. Experience with dbt or similar frameworks is essential.
- Ability to work with Python (particularly data handling packages) is desirable.
- Ability to work with version control and CI/CD as part of a robust and controlled development lifecycle.
- Understanding of the needs of working in a tightly-governed and regulated environment.
- Strong problem-solving and organizational skills
- Interest in financial services and markets, ideally with previous working experience in this domain and an understanding of how to model business concepts in financial services in data.
- Fluent English communication and presentation skills
Interested in relocating to Germany? Check out our comprehensive Relocation Jobs in Germany page with detailed relocation packages and benefits.
- 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
- Be productive with the latest hardware and tools
- Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget
- Learn and experience German culture first hand by joining our free German language classes
- International relocation support is provided if required
- Flexible vacation policy and the opportunity to work from abroad
- Benefit from an attractive compensation package and from the company pension scheme
- Monthly contribution of 50% for the ‘Deutschland Jobticket’
- Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker
- Enjoy flexible and discounted sports activities with Urban Sports Club
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