Staff Data Engineer | Spain | Remote - Talent-R
Summary
Staff Data Engineer owning pipeline architecture and platform health for a commodity trading platform, designing scalable ETL frameworks with Flink/Spark, Kafka, and cloud infrastructure using Kotlin, Python, and TypeScript.
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.
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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. xqbhyrx
Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.