About the company

We're hiring for the go-to platform in commodity trading, the tool trading desks rely on to make pre-trade calls.

Closed a $42M Series B in February 2025 and scaling fast
Around 130 people across offices in Switzerland, London and Spain, with the Spain hub set to keep growing through 2026
Investing heavily in AI, including a new Forward Deployed Engineer function built for enterprise clients
A lean, senior team that moves like an early-stage Stripe or Palantir: high bar, real ownership, minimal red tape

Data is the backbone of that ambition. Every AI initiative and every trader-facing insight runs through the pipelines this team owns, which makes this a genuinely architecture-level seat, not just an execution role.

About the role

Day-to-day:

Lead pipeline architecture: Design, build and evolve scalable ETL frameworks powering real-time and analytical processing
Own platform health: Optimise for latency, throughput and reliability as data volumes scale
Bridge data and backend: Work closely with engineering and stakeholders to align infra with product and trader-facing outcomes
Drive architecture decisions: Shape pipeline reliability, data quality and scalability across the platform
Shape target architecture: Define how data gets ingested, transformed, stored and served as the platform grows
Mentor engineers: Through design reviews, technical discussions and hands-on knowledge sharing

What you'll need:

7+ years as a data or software engineer with production-grade data systems delivered
2+ years in a product-focused organisation, working cross-functionally
Proven track record scaling data-intensive pipelines in production
Hands-on with Flink or Spark (stream and batch processing)
Comfortable across Kotlin, Python and TypeScript
Equally sharp on high-level architecture and low-level implementation
Experience deploying data infra on AWS or GCP
Hands-on with Kafka, Redis and/or clustered Postgres

Who should apply?

A hands-on Staff-level data engineer who wants ownership over architecture, not just code, and who's energised by being handed a problem instead of a spec. Bonus points if you've worked with Apache Iceberg, dbt, or built data infra to support AI agents.

Staff Data Engineer | Spain | Remote

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