Solaris is Europe’s leading embedded finance platform, pioneering Banking-as-a-Service to bridge the gap between financial technology and licensed banking. Founded in 2016 and headquartered in Berlin, Solaris enables fintechs, digital ecosystems, and multinationals to embed accounts, cards, lending, and payments directly into their own products, creating seamless financial experiences for their users. As a fully licensed German bank, Solaris combines the highest standards of IT security and regulatory resilience with a modular, highly scalable infrastructure. Today, Solaris is driving the next evolution of financial services by transitioning into an AI-native banking platform, ensuring European businesses can deploy secure, adaptable financial products at scale. Why join Solaris? 🚀 We are fundamentally redesigning banking processes around AI orchestration, standardized modular building blocks, and embedded regulatory compliance. 🎯 We combine tech and banking in dedicated hubs - driving the technology infrastructure out of Berlin and banking operations out of Frankfurt. 💡 Through our internal mobility, growth opportunities, and the Solaris Academy, we offer continuous learning tracks, AI ambassador mentorship, and upskilling to keep your skills ahead of the curve. ⚖️ We foster a workplace rooted in integrity, proactive risk management, and equality actively driving initiatives like DEI initiatives. Your Role Design and implement robust, clean and reusable data models for the Risk, Regulatory Reporting and Finance functions that centralise reporting of financial instruments (credit cards, loans, bonds, deposits etc.) following the BIRD and IReF standards. Define process steps and tasks to fulfil CoRep(Credit Risk, Market Risk, Operational Risk), FinRep (BS, income statements using IFRS and HGB), Liquidity Reporting (LCR, NSFR) in close collaboration with Risk, Regulatory Reporting and Finance functions and guide the departments towards better data coverage for informed business decisions and critical reporting. Manage standardised metrics in the form of a semantic layer to serve as single points across reporting, data exploration and business intelligence. Reconciliation Automation: Build scheduled matching programs to cross-verify the bank’s internal ledgers Implement and maintain efficient incremental loading strategies to manage high-volume, time-series financial data. Contribute towards the common data quality framework by applying patterns and tests. Constantly document the processes and technologies and enable knowledge sharing. We'd love to see Depending on your level of experience, your responsibilities and scope of role will range. We don’t care much about fancy titles, but rather about real personal and professional development, as laid out in our learning framework. Let’s figure together out how you can contribute to our team. Degree in Mathematics, Informatics, Natural Sciences or Finance and Economics. Minimum 6 years experience in a role of analytics engineer, data analyst or reporting specialist in a fast pace environment and regulated industry. Advanced data modelling and data-warehouse development skills Knowledgable with data cloud providers and modern data architectures, ideally Snowflake Proficient SQL and Python programming skills Good knowledge of data transformation and data orchestration tools, ideally dbt and airflow Solid understanding of software engineering principles, including version control (Git), CI/CD, and automated testing Very good data visualisation skills, ideally Tableau Banking & Domain Expertise: Understanding how double-entry bookkeeping, credit facilities, on/off-balance-sheet items work. Understanding of Integrated Reporting Frameworks Familiarity of banking standard taxonomies. Knowing how to map database attributes to standardized fields required for COREP or FINREP reporting. The ability to translate strict regulatory legal phrasing into programmatic logic. Very strong communication skills, to both technical and non technical members. Ability to grasp new business concepts and translate them into technical requirements. Very good documentation and knowledge sharing skills. Adaptability and Continuous Learning. Strong negotiation, empathy, and the ability to build consensus across different technical backgrounds. Strategic thinking and sense of business criticality and prioritisation. Ability to mentor and inspire team members. Excellent English language skills. German language skills is a plus. Comfortable working with AI tools, thinking critically about AI outputs, and contributing to a culture of responsible AI use. We expect you to demonstrate comfort with AI-assisted workflows and a willingness to continuously develop their AI capabilities as the technology evolves. Benefits Home office budget. Learning & development budget of €1000 per year and a transparent growth framework to support your career goals. Competitive salary and a variable remuneration program. Monthly meal allowance. Deutschland ticket subsidy. 28 vacation days, increasing by 2 days after 2 years and 3 days after 3 years with Solaris. Opportunity to work abroad for up to 12 weeks per year. While job ads usually paint an ideal picture of a candidate, studies show that most applicants meet an average of 60% of the criteria. Unfortunately, many promising candidates tend to apply only if they meet all the criteria. So if you think you have what it takes, but don't necessarily meet every single item in the job description, please contact us anyway. We'd love to talk with you and find out if you might be a good fit for us. At Solaris, we are committed to nurturing an inclusive environment, where all Solarians feel valued, respected and supported. We are dedicated to building a diverse workforce that reflects the diversity of our communities. We are committed to equal employment opportunity regardless of color, ethnicity, religion, sex, origin, disability, marital status, citizenship, or gender identity. We are proud to be an equal opportunity workplace. If you have a disability or special need that requires accommodation, please let us know. Information on data processing: DE: EN: The annual gross salary range for this position is: €70.000—€80.000 EUR