Remote Staff Data Engineer: Lead Real-Time Pipelines

Talent-R; Mos; A distancia; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

Talent-R in Spain is seeking a hands-on Staff-level Data Engineer to own architecture for a scalable data platform used by commodity trading teams. You will design ETL pipelines, ensure low-latency data processing, and collaborate with engineering and product stakeholders to align infra with business outcomes.

You will mentor engineers, drive architectural decisions, and contribute to selecting technologies that scale as the platform grows.

Formación

• 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.
• Experience deploying data infra on AWS or GCP.
• Hands-on with Kafka, Redis and/or clustered Postgres.

Responsabilidades

• 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.

Conocimientos

7+ years data engineering

2+ years product-focused

Herramientas

Flink

Spark

Kotlin

Python

TypeScript

AWS

GCP

Kafka

Redis

PostgreSQL

Descripción del empleo

Talent-R in Spain is seeking a hands-on Staff-level Data Engineer to own architecture for a scalable data platform used by commodity trading teams. You will design ETL pipelines, ensure low-latency data processing, and collaborate with engineering and product stakeholders to align infra with business outcomes.

You will mentor engineers, drive architectural decisions, and contribute to selecting technologies that scale as the platform grows.