Data Engineer
Elliptic offers comprehensive blockchain analytics and crypto compliance solutions. They provide advanced digital asset data and intelligence to help a wide range of clients, including financial institutions, crypto businesses, and government agencies, with crypto compliance and forensic investigations. Their services are designed for the next-generation of blockchain ecosystem builders.
Projects
About Elliptic
Elliptic provides advanced blockchain analytics, digital asset data, and intelligence for crypto compliance and forensic investigations. Their solutions cater to a wide range of clients, including financial institutions, crypto businesses, government agencies, law enforcement, and regulators. Elliptic's platform leverages a massive dataset of over 100 billion data points, covering 99% of global trading volume and over 1 billion crypto addresses, to offer enterprise-grade risk management. Key features include automated compliance through APIs, on-chain and cross-chain screening, transaction monitoring, and investigative tools. The company aims to simplify compliance, reduce risk, and lower costs for its clients, while also providing professional training and educational resources to build expertise in the crypto space.
Skills
About the Role
You will design and optimise systems that process large-scale blockchain and off-chain datasets, enabling organisations worldwide to make trusted, data-driven decisions. Whether you join one of our platform-focused teams or those that work directly on product data, you will tackle challenges spanning batch and streaming processing, building high-quality, scalable solutions for a rapidly evolving ecosystem. You will fit right in if you enjoy writing clean, well-tested, efficient code, use data and experimentation to make informed decisions, and are curious about new technologies including AI and automation.
Requirements
- Experience delivering and maintaining distributed data pipelines
- Practical knowledge of Spark, Databricks, or similar big data frameworks
- Familiarity with cloud infrastructure (AWS, Azure, or GCP)
- Understanding of data-architecture trade-offs, such as scalability, resilience, and observability
- Interest or experience in functional programming
- Experience in streaming processing concepts like delivery semantics, ordering or partitioning
- Hands-on work with Infrastructure as Code (Terraform or CloudFormation)
- Knowledge of container orchestration (Docker, Kubernetes, Helm)
- An interest in blockchain and cryptocurrency technology, or a desire to learn
- Experience applying AI or automation within deployed services
Responsibilities
- Build and maintain distributed data pipelines using Scala, Spark, and cloud technologies
- Collaborate with engineers, data scientists, and product teams to deliver reliable, scalable data systems
- Design and optimise data ingestion and transformation workflows across blockchain and traditional datasets
- Ensure accuracy, scalability, and efficiency in systems processing hundreds of millions of daily data points
- Evaluate design options and trade-offs across performance, scalability, reliability, and cost
- Contribute to the full lifecycle of data platform development from design and deployment to continuous improvement
- Strengthen pipeline reliability, observability, and automation through code and tooling improvements
- Grow influence and take on greater responsibility as understanding of distributed systems and platform architecture deepens
Benefits
- Hybrid working and the option to work from almost anywhere for up to 90 days per year
- £500 Remote working budget to set up your home office space
- $1,000 Learning & Development budget
- 25 days of annual leave plus bank holidays
- An extra day off for your birthday
- Enhanced parental leave: 16 weeks of fully paid leave
- Private Health Insurance (Vitality)
- Full access to Spill Mental Health Support
- Life Assurance covering 4 times your salary
- Cycle to Work Scheme