Kids&Us is a leading international language school franchise specializing in English language learning for children starting from one year old. Founded in Spain, the company has grown into a global educational powerhouse with over 500 centers across Europe, America, and Asia, utilizing a proprietary natural language acquisition methodology.

Headquartered in Manresa, Kids&Us maintains a massive presence throughout Spain, offering numerous opportunities for English language professionals. The company is a significant employer for international talent, particularly native or near-native English speakers, providing a structured environment for teachers and academic coordinators to develop their careers in the Spanish education sector.

Founded in 2003 by Natàlia Perarnau in Manresa, Spain, Kids&Us was born from a desire to improve how children learn foreign languages. The company expanded rapidly through a franchise model and now operates hundreds of centers internationally.

Data Engineer

Kids&Us Spain Careers

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

At Kids&Us, we design experiences that connect with the emotion of learning English.

We combine pedagogy, technology, and data to continuously improve the learning experience of thousands of children and families worldwide. Through data, we drive smarter decisions and build the foundations that allow us to continue growing with impact.

In this context of evolution, we are looking for someone to help us design, build, and grow our data platform to take the use of data even further.

Why you will love being part of Kids&Us?

A product with a real purpose.
Space to build and leave your mark.
A close-knit, motivated, and multidisciplinary team that combines learning, design, and technology. We like to share achievements, learn, and celebrate the journey: we organize team buildings, town halls, special events, and... much more! 😊
Hybrid work model (2 days at HQ and 3 days remote).
Flexible schedule from Monday to Thursday, and intensive hours on Fridays and during the summer.
Day off on your birthday, discounts for your family, and more benefits designed to take care of you and help you grow professionally.

Your role

Design and maintain data pipelines (ingestion, transformation, and loading), as well as the data models that support reporting and analytics.
Ensure data quality, consistency, and traceability, integrating various internal and external sources, and managing and evolving integrations with source systems.
Automate data processes to improve efficiency and reduce manual tasks.
Support the business's analytical needs, facilitating access to and use of reliable data, as well as the data layer that feeds tools like Power BI (including semantic modeling and dataset certification).
Contribute to the evolution of the data ecosystem and future advanced analytics and artificial intelligence initiatives, ensuring technical best practices and data governance.
You will work with a high level of operational autonomy, serving as the reference technical data profile within the team.

How you will shine in this position

Degree in Computer Engineering, Telecommunications, Mathematics, Physics, or similar; a master's/specialization in Data Engineering, Cloud, or Data Analytics is valued.
Between 2 and 4 years of experience in Data Engineer roles or similar, working on the construction of data pipelines, data modeling, and SQL.
Experience with different data sources and integrations, understanding how to connect and structure information efficiently.
Experience in cloud data environments (especially Azure) and in ETL/ELT tools, orchestration, and data warehouse or lakehouse architectures. Experience with solutions such as Azure Data Factory, Microsoft Fabric, Snowflake, or Databricks is also valued.
Knowledge of Python or scripting languages.
Experience collaborating with business, IT, or analytics teams.
Advanced level of English.

Ready to inspire?

If you are motivated to build from scratch, work with data, and have a real impact on the business, this is your challenge. We want to meet you!

Kids&Us embraces diversity and is committed to attracting qualified candidates who also embrace and value diversity and inclusivity. Kids&Us is an Equal Opportunity Employer. We stand against discimination or harassment of any kind. We embrace the uniqueness in everyone and we encourage each individual to be their true selves.

Legal information

Information clause: Data Controller: Kids&Us English, S.L. with address at avenida Tudela, 12, 08242 Manresa (Barcelona). Purpose: management of CVs, profiles, and professional candidacies. Recipients: Kids&Us English, S.L. and its entire network of affiliated centers and franchises. Rights: you have the right of access, rectification, erasure, opposition, limitation of processing, data portability, not to be subject to individual automated decisions, and revocation. To exercise the aforementioned rights, as well as for any query related to the processing of your data, you may contact the data controller at the email info@kidsandus.com. More information is available on the page https://www.kidsandus.es/es/footer/politica-de-privacidad

View original advert (Spanish)

En Kids&Us diseñamos experiencias que conectan con la emoción de aprender inglés.

Combinamos pedagogía, tecnología y datos para mejorar continuamente la experiencia de aprendizaje de miles de niños/as y familias en todo el mundo. A través del dato, impulsamos decisiones más inteligentes y construimos las bases que nos permiten seguir creciendo con impacto.

En este contexto de evolución, buscamos a alguien que nos ayude a diseñar, construir y hacer crecer nuestra plataforma de datos para llevar el uso del dato aún más lejos.

¿Por qué te encantará formar parte de Kids&Us?

Un producto con propósito real.
Espacio para construir y dejar huella.
Un equipo cercano, motivado y multidisciplinar que combina aprendizaje, diseño y tecnología. Nos gusta compartir logros, aprender y celebrar el camino: organizamos team buildings, town halls, eventos especiales y... ¡mucho más! 😊
Modalidad de trabajo híbrida (2 días en HQ y 3 de teletrabajo).
Horario flexible de lunes a jueves, y jornada intensiva los viernes y durante el verano.
Día libre en tu cumpleaños, descuentos para tu familia y más beneficios pensados para cuidarte y crecer profesionalmente.

Tu rol

Diseñar y mantener pipelines de datos (ingesta, transformación y carga), así como los modelos de datos que soportan reporting y analytics.
Garantizar la calidad, consistencia y trazabilidad del dato, integrando distintas fuentes internas y externas, y gestionando y evolucionando las integraciones con los sistemas fuente.
Automatizar procesos de datos para mejorar la eficiencia y reducir tareas manuales.
Dar soporte a las necesidades analíticas del negocio, facilitando el acceso y uso de datos fiables, así como a la capa de datos que alimenta herramientas como Power BI (incluyendo modelado semántico y certificación de datasets).
Contribuir a la evolución del ecosistema de datos y a futuras iniciativas de advanced analytics e inteligencia artificial, asegurando buenas prácticas técnicas y de gobierno del dato.
Trabajarás con un alto nivel de autonomía operativa, siendo el perfil técnico de datos de referencia dentro del equipo.

Así brillarás en este puesto

Grado en Ingeniería Informática, Telecomunicaciones, Matemáticas, Física o similar, y valorable máster/especialización en Data Engineering, Cloud o Data Analytics.
Entre 2 y 4 años de experiencia en roles de Data Engineer o similares, trabajando en construcción de pipelines de datos, modelado de datos y SQL.
Experiencia con distintas fuentes de datos e integraciones, entendiendo cómo conectar y estructurar la información de forma eficiente.
Experiencia en entornos de datos en la nube (especialmente Azure) y en herramientas ETL/ELT, orquestación y arquitecturas tipo data warehouse o lakehouse. También valoramos experiencia con soluciones como Azure Data Factory, Microsoft Fabric, Snowflake o Databricks.
Conocimientos de Python o lenguajes de scripting.
Experiencia colaborando con equipos de negocio, IT o analytics.
Nivel de inglés avanzado.

Ready to inspire?

Si te motiva construir desde cero, trabajar con datos y tener impacto real en el negocio, este es tu reto. ¡Queremos conocerte!