Data Engineer

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 environmentScala | 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 cultureOur 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 diverse teams who share knowledge freely. Whether you are designing a new data pipeline or improving system performance, you will find an environment that values curiosity, technical excellence, and shared impact over hierarchy.

Be part of the teamIf you are excited about building the data backbone that powers Elliptic’s data platform and helps organisations across the world act faster and see further, we would love to hear from you.

At Elliptic, we believe the best ideas come from diverse teams. We encourage applications from people of all backgrounds, identities, and experiences. If you are excited about our mission but are not sure you meet all the requirements, please still apply.

Apply today and help define the data infrastructure behind the future of blockchain intelligence.