Analytics Engineer

Pluxee; Meis; Presencial; EUR 60.000 - 95.000; Jornada completa

Descripción de la vacante

Pluxee busca un Analista Ingeniero para unirse a Cobee por Pluxee Data Product Team. Te integrarás en un dominio de producto y transformarás datos brutos en capas Silver confiables para consumo de negocio.

Trabajarás con el equipo de producto, ingenieros de datos y Data Council para mantener estándares al escalar el modelo distribuido, usando SQL, dbt y un flujo de trabajo moderno. Se valora experiencia en ClickHouse y capacidad de comunicarte en español e inglés en equipos multiculturales

Formación

• SQL avanzado con funciones de ventana, CTEs e procesamiento incremental.
• Experiencia práctica con dbt: modelado, pruebas, documentación, macros y gestión de paquetes.
• Conceptos de modelado de datos: modelado dimensional, diseño de esquemas, snapshotting e enfoques incrementales.
• Una forma de trabajo de ingeniería de software: Git, PRs y CI/CD para datos, tratando modelos dbt como código de producción.
• Conocimiento de marcos de calidad de datos, monitorización, observabilidad y detección de anomalías.
• Capacidad para traducir requisitos del negocio en modelos de datos escalables y productos de datos.
• Experiencia trabajar en equipos transfuncionales y comunicar decisiones técnicas a ingenieros que no son de datos.
• Conocimiento de ClickHouse es una ventaja.
• Comunicación en inglés y español en equipos multiculturales y entorno global.

Responsabilidades

• Construir y mantener modelos de datos de producción siguiendo prácticas de la industria y estándares de ingeniería de datos.
• Diseñar esquemas de datos estables y bien estructurados con convenciones de nombres, granularidad definida y lógica empresarial documentada.
• Implementar controles automatizados de calidad de datos, incluidas pruebas, validaciones y comprobaciones de reglas de negocio.
• Monitorear y mantener la confiabilidad de datos, identificando y resolviendo problemas de calidad, frescura y rendimiento.
• Gestionar la evolución del modelo de datos mediante versionado, gestión de cambios y comunicación con los consumidores downstream.
• Trabajar en un flujo de trabajo de ingeniería de software moderno usando Git, PRs y CI/CD para datos.
• Colaborar con equipos multifuncionales para alinear soluciones de datos con requisitos empresariales.
• Contribuir a iniciativas de gobernanza de datos, promover mejores prácticas y compartir conocimiento entre equipos.

Conocimientos

SQL skills

dbt

Data modeling

CI/CD for data

Data quality

Cross-functional teams

English & Spanish

ClickHouse

Herramientas

Git

dbt

Descripción del empleo

Descripción del trabajo

Pluxee is a global player in employee benefits and engagement that operates in 28 countries.

Obtenga más información sobre las tareas generales relacionadas con esta oportunidad a continuación, así como sobre las habilidades requeridas.

Pluxee helps companies attract, engage, and retain talent thanks to a broad range of solutions across Meal & Food, Wellbeing, Lifestyle, Reward & Recognition, and Public Benefits.

Powered by leading technology and more than 5,000 engaged team members, Pluxee acts as a trusted partner within a highly interconnected B2B2C ecosystem made up of more than 500,000 clients, 36 million consumers and 1.7 million merchants.

Conducting its business as a trusted partner for more than 45 years, Pluxee is committed to creating a positive impact on all its stakeholders, from driving business to local communities, to supporting wellbeing at work for employees while protecting the planet.

Your next challenge

Cobee by Pluxee is changing how it builds its data model. Instead of a centralised team building global entities, each product domain will own and maintain its own data layer. You'll be one of the engineers making that shift happen.

As an Analyst Engineer, you'll embed in a product domain and build the transformation layer between raw data and business consumption. You'll take Bronze data and turn it into a reliable, well-tested Silver layer, applying the same discipline to data models that a software engineer applies to application code. Your output isn't insights or reports. It's production-grade models other teams can depend on.

You'll work closely with the product team in your domain, coordinate with centralised Data Engineers on upstream changes, and take part in the Data Council, the cross-domain group that keeps standards consistent as the distributed model scales.

What you'll be doing

As an Analyst Engineer, you will:

• Build and maintain production-grade data models following industry best practices and established data engineering standards.
• Design stable and well-structured data schemas with clear naming conventions, defined granularity and documented business logic.
• Implement automated data quality controls, including tests, validations, and business-rule checks as part of the development lifecycle.
• Monitor and maintain data reliability, proactively identifying and resolving data quality, freshness, and performance issues.
• Manage data model evolution through versioning, change management, and clear communication with downstream consumers.
• Work within a modern software engineering workflow using Git, pull requests, code reviews, and CI/CD practices.
• Collaborate with cross-functional teams to ensure data solutions align with business requirements and organizational standards.
• Contribute to data governance initiatives, promote best practices, and share knowledge across teams.

You're a match

• Solid SQL skills, including window functions, CTEs, incremental processing patterns, and optimization techniques.
• Hands-on experience with dbt, including modeling, testing, documentation, macros, and package management.
• Strong understanding of data modeling concepts, such as dimensional modeling, schema design, snapshotting, and incremental approaches.
• A software engineering workflow: git, pull requests, and CI/CD for data, treating dbt models as production code.
• Familiarity with data quality frameworks, monitoring, observability, and anomaly detection practices.
• Ability to translate business requirements into scalable and maintainable data models and data products.
• Experience working in cross-functional teams and communicating technical decisions clearly to non-data engineers.
• Experience with ClickHouse is a plus.
• You'll thrive in this role if you're comfortable communicating in English and Spanish, enjoy collaborating with multicultural teams, and are motivated by solving complex data challenges in a global environment.

To get this challenge

• Video call with a member of the People team to get to know you and your motivations.
• Discussion with the Product Manager and Engineering Manager about your experience, ambitions, and fit within Cobee by Pluxee Data Product Team.
• Technical conversation with team members, including a data modeling challenge to explore your SQL, dbt, and schema design skills.

Your team

You'll be part of the Data Product Team, embedded in a specific product domain within Cobee by Pluxee. Day-to-day you'll work alongside the product engineers and Tech Lead in your domain. You stay connected to the broader data team through the Data Council, where all embedded engineers align on standards, review each other's Silver changes, and share learnings across domains.

Your Location:

Spain

Happy at work

A meaningful job: Be the change! Help us build the future of employee benefits by bringing to life sustainable and personalized experiences and contribute to making a real impact on millions of lives. Our business model delivers not just for individuals but their communities too, by supporting local businesses and economies.

A great culture

People matter – a lot! Be part of a multicultural team that moves as one in a fast paced and innovative environment. We respect and care authentically about our people, we embrace wellbeing and work-life balance, new ideas and we have a lot of fun!

An empowering environment

Be yourself! xkdbapo At Pluxee we proudly embrace diversity and value the uniqueness of our talents, fostering an inclusive work place where all abilities are celebrated, and equal learning and growing opportunities are a given.