Staff Data Engineer | Spain | Remote

Talent-R; Arbo; Híbrido; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Talent-R is building the go-to platform in commodity trading, with a growing Spain hub and a lean senior team. This Staff-level data engineer role focuses on architecture and scalable data pipelines powering real-time and analytical processing.

You will lead pipeline architecture, own platform health and drive architecture decisions across the stack, collaborating with engineering and stakeholders to deliver trader-facing insights at scale.

Formación

• 7+ years as a data or software engineer with production-grade data systems.
• 2+ years in a product-focused organisation with cross-functional work.
• Proven ability to scale data-intensive pipelines in production.
• Experience with real-time streaming/batch processing (Flink or Spark).
• Experience deploying data infra on AWS or GCP.

Responsabilidades

• Lead pipeline architecture and scalable ETL frameworks.
• Own platform health focusing on latency and throughput.
• Collaborate with engineering and stakeholders to align infra with products.
• Drive architecture decisions for reliability and scalability.
• Shape target architecture for data ingestion, transformation, storage and serving.
• Mentor engineers through design reviews and knowledge sharing.

Conocimientos

Data pipelines

Architecture design

Cross-functional collaboration

Production-grade systems

Herramientas

Flink

Spark

Kotlin

Python

TypeScript

AWS

GCP

Kafka

Redis

PostgreSQL

Descripción del empleo

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.

• $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. xqziphu

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