Senior Data Engineer London Engineering / Remote / Remote Apply for this job About Notabene Notabene is on a mission to make crypto a part of the everyday economy. Leading crypto organizations use our tools to reduce transaction risk and make crypto transfers safe. Working across three continents in eight countries, the Notabene team serves our fantastic community of 100+ customers, including financial institutions, fintechs, exchanges, and more. Our co-founders spearheaded foundational Self Sovereign Identity protocols and use-cases. This technology is key to the internals of our cutting edge tech stack. We’re proud to have the support of leading investors, including Y Combinator, Jump Capital, Castle Island, Green Visor Capital, and more. We’re at an exhilarating moment in our journey, as regulation technologies (reg-techs) are fast becoming recognized as a vital enabler of the crypto ecosystem. Notabene is growing fast—and we’re looking for people like you to help shape the future rails of the crypto industry! About The Role As a Data Engineer at Notabene, you'll play a pivotal role in shaping how crypto transactions are settled globally. You’ll collaborate with stakeholders across all levels of the business, turning their BI requirements into impactful, data-driven insights. In this role, you'll be responsible for building and maintaining our data pipelines, scaling our data warehouse architecture, and ensuring data insights are optimized and scalable across the organization. As a Senior Data Engineer, you’ll also be instrumental in driving forward a data-driven culture at Notabene. You’ll be working closely with key stakeholders across the business providing insights will directly influence our strategic decisions as we grow, and you’ll help us transform our data into a key product offering for our customers and the broader industry. Key Responsibilities Design, develop, and maintain scalable ETL pipelines using dbt, Airbyte, Redshift, and Sigma Work closely with product, engineering, and bizops/GTM teams to gather data requirements, setup dashboards and generate critical insights Build a data engineering function from scratch, including leading a high-performing data team as the business scales Promote a data culture at Notabene and embed data-driven decision-making across the company Ensure data governance and security practices are in place, especially around high-security PII data Monitor, optimize, and troubleshoot data infrastructure and pipelines to ensure performance and scalability What you bring to Notabene 8+ years working in data engineering Proven experience in building and maintaining ETL pipelines and data infrastructure (Airbyte, Redshift, Sigma preferred) Strong experience working with dbt core/cloud Business savvy and capable of interfacing with finance, revenue and ops leaders to build our business intelligence Proven leadership experience with a track record of building and managing data teams Expertise in data governance, best practices, and data security, especially related to PII Proficiency in SQL and Python and with experience working in AWS Strong problem-solving skills, attention to detail, and the ability to work independently in a global, remote-first company Excellent communication skills, with the ability to collaborate across teams and departments If you strongly believe this role is for you, please apply. Notabene considers a broad array of candidates, including those without blockchain experience. Whether you’re returning to work after a gap in employment, or taking the next step in your career path, we will be glad to have you on our radar. Notabene is proud to be an equal employment workplace and an affirmative action employer. By valuing inclusion and diversity of all forms, we strictly prohibit and do not discriminate based on race, color, religion, national origin, gender, gender identity, gender expression, age, ancestry, citizenship, sexual orientation, status as a protected veteran, or any other legally protected characteristic. Apply for this job When applying, mention the word CANDYSHOP to show you read the job post completely.