Senior Data Product Engineer (f/m/d)

At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. ABOUT THE ROLE: Upvest's data platform powers near real-time financial analytics about operations across trading, payments, risk, and compliance. We're building the next generation of our data infrastructure - an Iceberg-backed Lakehouse and CDC-powered pipelines that give engineers, analysts, and business users a single, reliable place to work with data at scale. You'll own our Kafka consumer and CDC pipelines, help architect and deliver the Lakehouse foundation, and act as a trusted consultant for data integration, modelling, and schema design across the organization. If you care about reliability, scalability, and lowering the barrier to working with data - this is your role. We are open to hire remotely in Europe for this role. WHAT YOU’LL DO: - Own and improve the Kafka consumer pipeline that captures, transforms, and warehouses event data - Design and build CDC-based pipelines to capture and replicate changes from source systems into the data platform - Design, build and maintain foundational data serving layers that scale and serve the use cases of engineering and analytics alike - Act as a data consultant across the organization - advising on data integration, modelling, and schema design for teams building on or contributing to the platform - Deliver self-service data solutions that enable engineers, analysts, and business users to work with the data platform independently - Drive data observability: set up tests, metrics, and alerting for pipeline health and data quality using observability tooling such as Datadog - Work closely with product engineering teams to ensure reliable, timely data availability - Champion data culture - share knowledge, establish best practices, and help teams understand and trust their data WHAT YOU BRING: - Strong experience building and operating event-driven data pipelines, ideally with Kafka or similar streaming infrastructure - Experience with Python, Go or another systems-level language for building data infrastructure - Solid SQL skills for data transformation, modelling, and staging layer development - Familiarity with infrastructure-as-code tooling such as Terraform for managing cloud resources - Experience working with cloud providers such as GCP, AWS, or Azure (we run primarily on GCP) - Experience with schema design and data modelling principles - able to advise teams across the organization - Experience setting up data observability and monitoring (Datadog, Grafana, Prometheus, etc.) - A product and consulting mindset - able to understand the needs of engineers, analysts, and business users and translate them into platform solutions - Strong communication skills and ability to promote data literacy across the organization IT’S GREAT IF YOU HAVE: - Experience with or strong interest in CDC tooling (Debezium, Fivetran, or similar) - Familiarity with open table formats such as Apache Iceberg, Delta Lake, or Hudi - or strong interest in growing into this space - Experience with building Agentic AI HOW W