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BIGBLUE_Data Engineer

Role overview

Qualifications

  • +3 years of experience in Data Engineering
  • Expert in SQL and Python
  • Experience with Airflow (or similar), PostgreSQL / SQL Server and AWS (S3, RDS, etc.)
  • Knowledge of containers (Docker/Kubernetes)

Responsibilities

  • Design and scale real-time data pipelines with Airflow and Python
  • Build the company's data lake, integrating critical data sources
  • Process and optimize gigabytes of information daily in real-time
  • Ensure data quality and security in a regulated sector

Key facts

  • Remote from: Spain
  • Full time
  • Mid-level (2-5 years)
  • Field Solutions Engineer
  • Spanish

Hard skills

Other skills

  • Collaboration
  • Time Management

About the company

Q-tech logo

Q-tech

Staffing & Recruiting

We are a tech recruitment company specialising in information technology, dedicated to connecting your team with exceptional talent in the industry. We collaborate with a diverse range of clients - from early-stage startups and growing scale-ups to established medium-sized businesses and multinational corporations (banking, retail, industry) - to identify the IT talent that brings their most ambitious projects to life. For each project, we design a tailored recruitment plan - from crafting standout job offers and selecting top candidates to providing ongoing support throughout the negotiation and onboarding process. Our headhunters speak the language of tech. That's why we have created different specialized teams focused on what matters: systems, software and product engineering, management functions, sales and marketing. If you’re looking for talent, let’s chat: cfont@q-techrec.com

Company details

IndustryStaffing & Recruiting
Company size11 - 50

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Job description

✈️ 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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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