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BIGBLUE_Data Engineer

Q-Tech · Spanish: C1 · Equity · Python · SQL · 1 year ago
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Salary
$45k – $67k per year
Location
Remote (Spain)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Aug 20, 2025. Q-Tech scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Q-Tech

Q-Tech is a specialized IT recruitment and talent selection firm focused on sourcing high-caliber engineering and technical professionals for technology-driven enterprises. Headquartered in Barcelona, Spain, the company utilizes a tailored, quality-first headhunting methodology to connect businesses with top-tier software and systems talent. Founded in 1999, it has grown into a trusted partner for organizations seeking specialized technical staffing solutions across diverse sectors.
q-techrec.com · HQ: Barcelona, Spain · 5000+ employees · Est. 1999
Tech stack of Q-Tech

Buscamos un/a Data Engineer apasionado por el tiempo real.

¿Te imaginas trabajar en una compañía tecnológica que está revolucionando un sector tan crítico como el del transporte aéreo, asegurando que millones de pasajeros lleguen puntuales a su destino?

Estamos montando el equipo core de datos y buscamos a la primera persona dedicada 100% a Data Engineering, alguien que quiera sentar las bases de toda la arquitectura de datos de la compañía. Una oportunidad única para crecer con el proyecto y dejar tu huella desde el inicio.

Lo que harás

  • Diseñar y escalar pipelines de datos en tiempo real con Airflow y Python.
  • Construir el data lake de la compañía, integrando fuentes de datos críticas.
  • Procesar y optimizar gigabytes de información diaria en tiempo real.
  • Garantizar la calidad y seguridad de los datos en un sector regulado.
  • Colaborar en un entorno remote-first, con metodología asíncrona.

Requisitos

  • +3 años de experiencia en Data Engineering.
  • Experto/a en SQL y Python.
  • Experiencia con Airflow (o similar), PostgreSQL / SQL Server y AWS (S3, RDS, etc.).
  • Conocimientos en contenedores (Docker/Kubernetes).
  • Experiencia en entornos real-time / streaming (ideal).

Ofrecemos

  • Posición full remote.
  • Salario competitivo (40k - 60k€) + stock options.
  • Flexibilidad horaria.
  • Proyecto con propósito real y capacidad de impacto global.
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