Original listing text, shown exactly as published by the company.
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 | 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.
