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Lead Backend Engineer Data Platform

Role overview

Qualifications

  • Experience developing internal products or data tooling
  • Background in data-critical environments
  • Experience building systems from scratch
  • Proficient in data architecture and products

Responsibilities

  • Work closely with the marketing team to convert business needs into real systems
  • Have total ownership over technical decisions, architecture, and platform evolution
  • Build key internal tools for growth
  • Design proprietary measurement and attribution systems

About the company

Q-tech logo

Q-tech

Q-tech is a Recruitment Company specialising in the Information Technology field. Throughout the years, we have been able to build up a network of contacts and a very large database, which serve us as indispensable sources when it comes to identifying and contacting professionals of interest to our clients. Q-tech can call on a great deal of experience in finding and selecting all types of profiles in the Information Technology sector: Web/Software Analyst/Developer/Programmer/Engineer/Architect/Craftsman: - JAVA (J2EE, Spring, Hibernate) - C/C++, Go, Ruby (on Rails), Grails, Python (Django), Erlang, Bash, Perl - .NET (C#, VB.NET, Core, WEB Api, WPF, WCF) - PHP (Symfony, Laravel) - JavaScript (ES6, React, Redux, Angular, Node, Express, Ember, Backbone, Underscore, Typescript) - Mobile: Android (Kotlin, Java), iOS (Swift, Objective-C), React Native, Ionic, Cordova - Functional languages: Scala, Clojure, Haskell - Microservices Architecture, RESTful APIs, MVC, Object Orientated, SOLID, Design Patterns, TDD/DDD/BDD, Continuous Integration/Delivery, Distributed Systems, High Availability, High Traffic, High Performance, Algorithms, Data-structures, Asynchronous Programming, Agile, SCRUM CTO, Software Development Manager Data Engineers, Data Scientist, (NLP, Machine Learning, Deep Learning, Predictive Analytics) System/Database Administrator: - DBA's (Oracle, SQL, MySQL, PostgreSQL, NoSQL, Cassandra, Zookeeper, MongoDB, Couchbase) - Big Data (Spark, Kafka, AKKA, Hadoop, Elasticsearch) - System Administrator (Linux, Windows, Mac) and DevOps (Apache, Nginx, Docker, AWS, Azure, Kubernetes, Ansible, Puppet, Chef, Salt) - Network Engineer and Helpdesk/Service Desk/Support - QA and Testing (Selenium, Cucumber), Test/Task Automation - Security Engineer, Ethical Hacker, Pentester, SIEM - Product Owner, Product Manager, UI/UX - SAP, CRM, ERP - Business Analyst, Project Manager - Cloud Computing (AWS, Azure), VMware - Business Intelligence, Data Warehouse, Data Analysis - SEO, SEM specialists

Company details

Company size11 - 50

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Job description

Estamos buscando un/a Data Platform Engineer que quiera construir desde cero las herramientas que impulsarán el crecimiento real de una compañía tech en pleno scaling.

👉 Este no es el típico rol de backend.

Aquí diseñarás los sistemas que explican cómo crece el negocio: desde atribución de usuarios hasta unificación de datos y optimización de campañas.

🧠 ¿Qué harás?

Trabajarás mano a mano con el equipo de marketing para convertir necesidades de negocio en sistemas reales.

Tendrás ownership total sobre lo que construyas: decisiones técnicas, arquitectura y evolución de la plataforma.

Algunos ejemplos de lo que harás:

  • Construir herramientas internas clave para growth

  • Diseñar sistemas propios de medición y atribución

  • Crear soluciones de deep linking

  • Unificar y procesar datos de múltiples fuentes (especialmente mobile)

  • Definir arquitecturas de datos y pipelines

  • Construir interfaces simples para equipos no técnicos

🧩 ¿Qué buscamos?

Un perfil builder, cómodo creando desde cero y moviéndose entre backend, data y producto.

Experiencia

  • Experiencia previa desarrollando productos internos o tooling de data

  • Background en entornos donde el dato es crítico para negocio

  • Experiencia construyendo sistemas desde cero

Stack & skills

  • Data architecture / data products

  • Infra (Terraform o similar)

  • Backend sólido (Go ideal, pero flexible)

  • Data pipelines y procesamiento

  • Capacidad analítica y pensamiento algorítmico

Mentalidad

  • Alta autonomía (perfil “make it happen”)

  • Mentalidad de producto

  • Foco en impacto, no solo en código

🎯 ¿Por qué este rol es diferente?

  • No mantendrás sistemas → los construirás desde cero

  • No trabajarás aislado → impactarás directamente en revenue

  • No usarás solo herramientas externas → crearás soluciones propias

Es una oportunidad real de construir una growth machine basada en datos.

🌍 What we offer

  • 💰 Salary competitivo

  • 🏡 Remote dentro de España + oficina en Barcelona Tech City

  • 🧱 Ownership total desde el día 1

  • ⚡ Entorno ágil, con talento senior y decisiones rápidas

  • 🌍 Trabajar con founders que han construido productos globales

👉 Si te motiva crear sistemas con impacto real en negocio, este role es para ti.

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MR

Marcus Rivera

Chief Revenue Officer

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