Senior Data Engineer

Senior Data Engineer Do you want to help define the future of blockchain intelligence? Are you passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values‑driven company that invests in its people and gives you the autonomy to shape critical systems? We’re looking for a Senior Software Engineer to join Elliptic’s Product‑Engineering organisation, focusing on data engineering solutions that power our analytics and intelligence products. As a senior member of the team, you will drive the technical direction of our data platform, ensuring it continues to meet the growing demands of blockchain analysis. Challenges include building a blockchain‑agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem. The impact you will have: Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will design and implement data systems that serve as the backbone of all Elliptic products. You will collaborate across blockchain, intelligence and product teams to deliver innovative features and scalable architectures that help the world fight financial crime and increase transparency in the crypto space. You will also mentor engineers, champion best practices, and influence cross‑team decisions that shape how Elliptic processes and delivers blockchain intelligence data. What you will do: - Architect, design, and implement large‑scale distributed data systems and pipelines. - Contribute to technical decision‑making across batch and streaming data solutions. - Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer‑focused products. - Explore and integrate new technologies (e.g. data orchestration or cloud‑native tools) to optimise performance and scalability. - Take shared ownership of data systems, from design to deployment and ongoing improvement and support. - Perform thoughtful peer reviews that raise code quality and share best practices across the team. - Contribute to platform‑wide initiatives that improve reliability, observability, and cost efficiency. - Help shape the technical roadmap for data engineering across Elliptic. Tech environment: Scala | Spark | Databricks | AWS | GCP | Airflow | Kubernetes | Terraform | Functional Programming We value depth in any modern data ecosystem. If you’re strong in equivalent technologies and excited to learn Scala, we’ll support you in the transition. You will thrive here if you: - Enjoy end‑to‑end ownership, from architecture design to coaching others through delivery. - Strive for engineering excellence and scalable, sustainable systems. - Use data and experimentation to guide decisions. - Communicate openly and collaborate across teams. - Support and coach less‑experienced engineers. - Believe every challenge is an opportunity to simplify and innovate together. What we are looking for: - Ability to design, build, and maintain distributed data systems in a cloud‑based environment. - Hands‑on experience with big data frameworks such as Spark or Databricks (or a willingness to learn). - Knowledge of cloud infrastructure (AWS, GCP, or Azure). - Judgement to balance scalability, performance, and maintainability. - Experience or interest in functional programming, data modelling, workflow orchestration, or AI‑driven tools. If you don’t meet every criterion but are excited about this role, we encourage you to apply. Bonus Points for: - Experience in stream processing frameworks and event‑driven architecture. - Hands‑on experience with Infrastructure as Code (Terraform, CloudFormation). - Experience working in containerised environments (Docker, Kubernetes). - Interest in crypto and blockchain technologies. JOB BENEFITS > How we work: - Hybrid working and the option to w ... (truncated, view full listing at source)