Data Analytics Engineer (m/f/d)

at  Raisin GmbH

TEAM

Being one of the most critical functions in the company, the Data Insights team is a part of the Data organization at Raisin and is primarily responsible for architecture, design, development and management of the data warehouse, data structures and processes required for reporting and analytics. Our focus is on delivering high-quality, reliable data solutions that support the company’s commitment to data-driven decision-making. Join us and be part of a dynamic team dedicated to harnessing the power of data to drive business success.

ABOUT US

Raisin is the trailblazer in the savings and investment space. Founded in 2012, the fintech company started by opening the $95+ trillion deposits and investments market of the European Union, the United Kingdom and the United States to consumers. Today, Raisin serves more than one million customers in these three markets, offering savings products as well as investment and pension products. This makes the Berlin-based fintech one of the leading global savings and investments marketplaces. Savers get a wider choice of attractive products with the ability to move their money freely. In addition, financial service providers get best-in-class marketplace solutions for their customers, and banks get better access to retail funding. Raisin operates its own B2C marketplaces in Europe and the U.S. under the brands Raisin, WeltSparen and ZINSPILOT.
In Germany, the company offers ETF-based investment and retirement products, Private Equity and Crypto investments, and savings products. Raisin works with over 400 banks and financial service providers from over 30 countries. Raisin has €50 billion AuA and generated over €1 billion in interest for its customers worldwide. Raisin is backed by renowned international investors such as b2venture, Deutsche Bank, Goldman Sachs, Greycroft, Headline, Index Ventures, Latitude Ventures, Orange Ventures, PayPal Ventures, Top Tier Capital Partners, Ribbit Capital, Vitruvian Partners and M&G.
The company has offices in Berlin, Frankfurt, Hamburg, Madrid, Manchester, Munich and New York.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

• Deliver and manage the data warehousing aspects of business intelligence and analytics. This includes the capability to architect, design, develop and support data extraction, transformation and orchestration processes in addition to data modelling and performance optimization on the data warehouse.
• Create and optimize data pipelines using Airflow, Snowflake and AWS.
• Design and develop the BI tool semantic layer from an engineering perspective (modelling, performance optimization etc…)
• Collaborate with cross-functional teams, including business stakeholders, to understand requirements and deliver data solutions that meet business needs.
• Document data engineering processes, data models, and data flows to ensure clarity, consistency, and maintainability of data solutions.