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Sparta Commodities

Cloud-based commodities trading analytics platform

Staff Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 7 years of experience as a data or software engineer, with a strong track record of delivering production-quality data systems.
  • At least 2 years of experience working within a product-focused organisation and collaborating closely with cross-functional teams.
  • Proven experience building and scaling data-intensive pipelines and platforms in production environments.
  • Deep understanding of stream and batch processing frameworks, with hands-on experience in Flink or Spark.
  • Ability to work across multiple programming languages; the primary languages are Kotlin, Python, and TypeScript.
  • Ability to design high-level architecture and work through low-level implementation details.
  • Experience designing and deploying data infrastructure in cloud environments such as AWS or GCP.
  • Hands-on experience with core data infrastructure tooling such as Kafka, Redis, and/or clustered Postgres.

Responsibilities

  • Lead the design, build, and ongoing evolution of scalable data pipelines and ETL frameworks for real-time and analytical data processing.
  • Share ownership of data platform health and performance, optimising latency, throughput, and reliability at scale.
  • Collaborate with engineering and cross-functional stakeholders to align data infrastructure with product goals and trader-facing outcomes, connecting data and backend engineering.
  • Drive data platform architectural decisions focused on pipeline reliability, data quality, and scalability.
  • Contribute to defining target architecture for ingesting, transforming, storing, and serving data as the platform evolves.
  • Mentor and support engineers through design reviews, technical discussions, and hands-on knowledge sharing.

Desired Qualifications

  • Familiarity with open lakehouse technologies such as Apache Iceberg and dbt.
  • Experience building data infrastructure to support AI agents, including low-latency retrieval and analytical interfaces.
  • Experience leading teams or managing engineers and driving delivery and technical excellence.
  • Exposure to complex distributed environments with demanding constraints such as high throughput, low latency, or large-scale datasets.

About the Company

Sparta Commodities

Cloud-based commodities trading analytics platform

Sparta Commodities provides a cloud platform for commodity trading that delivers real-time pricing, arbitrage data, and shipping costs. Users access Sparta Cloud to run price blends, view live feeds, and calculate arbitrage and freight costs, with automated workflows and alerts that notify them of opportunities. The platform stands out by offering end-to-end automation and real-time analytics across price discovery, arbitrage, and freight data within a single subscription-based toolset. Its goal is to boost trader productivity and speed by providing timely data and automated processes so traders can act on opportunities faster.

Company size
201-500
Company stage
Series B
Total funding
$65.5M
Headquarters
Geneva, Switzerland
Founded
2020

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