Staff Data Engineer | Spain | Remote

Talent-R

Castro-Urdiales

Híbrido

EUR 90.000 - 130.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Remote work available

Descripción de la vacante

Talent-R, plataforma líder en trading de commodities, busca un Staff-level data engineer para liderar la arquitectura de pipelines de datos críticos y escalarlos a medida que la empresa crece.

Trabajarás con Flink o Spark en entornos de streaming y batch, colaborarás con equipos de ingeniería y negocio, y influirás en decisiones de infra, almacenamiento y calidad de datos, con Kubernetes/AWS o GCP y una visión end-to-end.

Formación

  • 7+ años como ingeniero de datos o software con sistemas de datos en producción.
  • ],
  • job_responsibilities_description

Responsabilidades

  • Diseñar, construir y evolucionar marcos ETL escalables para procesamiento en tiempo real y analítico.
  • Mantener la salud de la plataforma: optimizar latencia, rendimiento y fiabilidad a medida que escalan los volúmenes.
  • Vincular datos y backend: colaborar con ingeniería y partes interesadas para alinear infra con resultados del producto.
  • Impulsar decisiones de arquitectura: mejorar fiabilidad de pipelines, calidad de datos y escalabilidad.
  • Definir la arquitectura objetivo: definir ingestión, transformación, almacenamiento y servicio de datos a medida que crece.
  • Mentorar a ingenieros: revisión de diseños, discusiones técnicas y compartir conocimiento.

Conocimientos

Data pipeline design
Production-grade data systems
Cross-functional collaboration
Mentor engineers
Real-time & batch processing
Architecture decisions

Herramientas

Flink
Spark
Kotlin
Python
TypeScript
AWS
GCP
Kafka
Redis
PostgreSQL

Descripción del empleo

Descripción del trabajo
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.

La descripción completa del puesto cubre todas las habilidades asociadas, la experiencia previa y cualquier cualificación que se espera que tengan los solicitantes.

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.

Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

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