Senior data engineer (in-office Copenhagen) at Subsets (S23) $110 - $175 AI-driven Retention Automation for subscription media businesses. DK Full-time US citizenship/visa not required 3+ years About Subsets Subsets is an AI-driven retention automation platform for subscription media businesses. We help leading subscription media businesses like The Athletic (part of the New York Times), Daily Mail, and Børsen increase subscriber retention through sophisticated, AI-driven experimentation. By analyzing subscriber behavior, Subsets automatically generates audiences and measures the incremental revenue lift in lifetime value within a no-code platform designed for retention and growth teams. Based in Copenhagen, we are a lean team that is growing quickly. We are backed by leading investors across the US and Europe, such as Y Combinator, Upfin, and a range of business angels. About the role About Subsets is an agentic lifecycle growth platform for subscription media businesses. We help leading businesses, such as The Atlantic, Daily Mail, and Matas, increase subscription growth through AI-driven retention and engagement initiatives. By analyzing subscriber behavior, Subsets automatically generates audiences and measures the incremental revenue lift in lifetime value, all within a no-code platform designed for Lifecycle Marketing and Growth teams. We are seeking a driven Senior Data Engineer (potentially in a Lead role) to join our early team at Subsets as we build the future of AI-driven Subscription growth for CRM and Lifecycle teams. As one of the early team members, you will play a crucial role in the company, developing key infrastructure and directly contributing to the shaping of our product. You will collaborate with our software engineers and data scientists to build a scalable data infrastructure that powers our AI-driven platform. As a Data Engineer at Subsets, you will work directly with our customers' data and have the opportunity to shape and impact the product experience for millions of subscribers (our customers’ customers). In this role, you will Work directly with the founding team and our software engineers. Design, develop, and manage our scalable data pipelines and ETL processes. Monitor and optimize our current data pipelines (we are moving a lot of data!). Work in a lean, high-performing team where you will have a significant impact on the product and assume numerous responsibilities. Bring your opinions and experiences on how to scale our current setup from 10+ customers to 100+ customers. You may be a good fit if you have A professional background in Data Engineering, preferably with an overlap to Software Engineering. Have prior experience building ETL pipelines. Hands-on experience in SQL, dbt, BigQuery, PostgreSQL, or similar. Experience working with Google Cloud Platform, AWS, or similar. Experience working with Docker, Terraform, Python, or similar technologies. Experience in modeling data to be consumed by machine learning pipelines. An analytical mindset to help define what data are relevant in a specific use-case context. The ability to work effectively in a startup environment where things change fast and are sometimes loosely defined. This is neither an exhaustive nor a necessary list of capabilities. If none of these apply to you, but you believe you can contribute to Subsets, please reach out. PLEASE APPLY VIA THIS LINK: https://thehub.io/jobs/6913bd08ec344369a247deb5 Interview Process We will typically meet three times: 1) for an introductory coffee in our Copenhagen office, 2) for an in-depth technical interview, and 3) for a work trial. A work trial consists of two days of work in our office in Copenhagen, allowing both parties to understand how we work together and whether Subsets is the right fit for you. You are paid for your time.