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 (Marzán)
🏢 Talent-R
📍 Marzán