Staff Data Engineer | Spain | Remote (Yunclillos)

Staff Data Engineer | Spain | Remote (Yunclillos)

12 sep
|
Talent-R
|
Yunclillos

12 sep

Talent-R

Yunclillos

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.
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

📌 Staff Data Engineer | Spain | Remote (Yunclillos)
🏢 Talent-R
📍 Yunclillos

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