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Senior Software Engineer - Data

Elliptic
CompanyElliptic
CategoryEngineering
LocationLondon, United Kingdom
RemoteHybrid
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted21 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
Do you want to help define the future of blockchain intelligence? Are you a strong software engineer who's 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, while staying close to the code? 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. This is a hands-on engineering role: as a senior member of the team, you will spend the majority of your time designing, building, and shipping the data platform yourself, while driving the technical direction that ensures 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 personally design and build data systems that serve as the backbone of all Elliptic products. By collaborating across blockchain, intelligence and product teams, you will deliver innovative features that help the world fight financial crime and increase transparency in the crypto space. Very few engineering roles have such clearly measurable real-world impact. You will also help us excel in engineering excellence by mentoring and upskilling our highly-engaged and passionate engineers, by championing best practices, and holding yourself and your team to a high standard. WHAT YOU WILL DO - Write, ship, and maintain production code as a hands-on engineer. - 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. - Leverage and deploy AI and agentic systems to operate more effectively. TECH ENVIRONMENT Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming YOU WILL THRIVE HERE IF YOU - Enjoy end-to-end ownership, from writing the code to 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. - Enjoy working with AI to benefit the company, your team and yourself. WHAT WE ARE LOOKING FOR - Hands-on production experience with Scala and functional programming. - 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. - Knowledge of cloud infrastructure (AWS, GCP, or Azure). - Judgement to balance scalability, performance, and maintainability. - Experience with data modelling and workflow orchestration. BONUS POINTS FOR - Experience in stream processing frameworks and event-driven architec
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