03 sep
|
Talent-R
|
San Sebastián
03 sep
Talent-R
San Sebastián
About the company
Para ser considerado para una entrevista, por favor, asegúrese de que su solicitud se ajusta plenamente a las especificaciones del puesto que se encuentran a continuación.
Were 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 youll 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 whos energised by being handed a problem instead of a spec. Bonus points if youve worked with Apache Iceberg, dbt, or built data infra to support AI agents. xugodme
Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.
📌 Staff Data Engineer | Spain | Remote (San Sebastián)
🏢 Talent-R
📍 San Sebastián