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Why this grade This listing scored 66/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Data Science Developer Senior Full Time
Estamos buscando un/aData Platform Engineerque 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: desdeatribución de usuarioshastaunificación de datosyoptimización de campañas.
🧠¿Qué harás?
Trabajarás mano a mano con el equipo de marketing para convertir necesidades de negocio en sistemas reales.
Tendrásownership totalsobre 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 perfilbuilder, 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 unagrowth 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 motivacrear sistemas con impacto real en negocio, este role es para ti.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 11 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.