Data Engineer

HELP SHAPE THE FUTURE OF BLOCKCHAIN INTELLIGENCE AT ELLIPTIC At Elliptic, we’re building the intelligence layer for the future of finance. Our teams transform complex blockchain and off‑chain data into actionable insight, empowering financial institutions, regulators, and businesses to innovate with confidence. Guided by our mission to make digital‑asset intelligence seamlessly accessible, we design and scale the data streams and services that power Elliptic’s analytics and decisioning products. As a Data Engineer, you’ll 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’ll tackle challenges spanning batch and streaming processing, building high‑quality, scalable solutions for a rapidly evolving ecosystem. WHAT YOU WILL DO - 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 your influence and take on greater responsibility as you deepen your understanding of our distributed systems and platform architecture TECH ENVIRONMENT Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming (No Scala experience yet? If you are an experienced data engineer eager to learn, we will support you.) YOU WILL FIT RIGHT IN IF YOU - Enjoy writing clean, well‑tested, and efficient code - Use data and experimentation to make informed decisions - Thrive in a collaborative, open culture where sharing and feedback are part of daily work - Are curious about new technologies, including how AI and automation can enhance data engineering - Appreciate an environment that values autonomy, mentoring, and personal development - Want to take advantage of AI‑driven productivity tools as part of your day‑to‑day engineering WHAT WE ARE LOOKING FOR We welcome engineers at different stages of their careers and will match your level to your experience so you can keep growing and make an impact. - 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 Bonus points for: - 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 (Don’t tick all the boxes? We’re still interested to hear from you if you think you’d be a good fit.) ENGINEERING CULTURE Our engineering culture is grounded in openness, autonomy, and continuous improvement. We believe great ideas can come from anywhere, so our engineers are encouraged to experiment, ask questions, and learn quickly. We use functional programming for clarity and reliability, and we rely on peer reviews, data‑driven decisions, and open discussions. Collaboration is central: you will work alongside divers