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EllipticEllipticLondon, United Kingdom

Senior Software Engineer

Senior Software Engineer building large-scale distributed data systems and pipelines on Scala, Spark, and Databricks to power blockchain analytics and intelligence products that fight financial crime. Requires hands-on Scala/functional programming experience and expertise designing scalable batch/streaming data platforms in the cloud.

165k – 305k/yr
Hybrid5+ YOEData Engineering

About the role

Responsibilities

  • 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.
  • Mentor and upskill engineers, champion best practices, and hold the team to a high standard.

Requirements

  • 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.

Nice-to-Haves

  • 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 AI-driven tooling for engineering workflows.
  • Interest in crypto and blockchain technologies.

Tech Environment

Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming

Compensation and Benefits

  • Salary: $165,000 - $305,000 (total compensation range)
  • Hybrid working: Option to work from almost anywhere for up to 90 days per year.
  • Remote Work Budget: $650 to set up home office.
  • Learning & Development: $1,000 annual budget.
  • Vacation: 25 days annual leave + US Public Holidays + birthday leave.
  • Enhanced Parental Leave: 16 weeks fully-paid.
  • Healthcare: Comprehensive medical, dental, vision with generous contributions.
  • 401k with company match.
  • Mental Health support via Spill.

Skills

ScalaSparkDatabricksAWSAirflowKubernetesTerraformfunctional programmingDistributed SystemsData Modelingstream processing

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