Más empleos:
Analyst Engineer
Trabajo disponible en:
04810, Madrid, Andalucia, España
Publicado en 2026-07-18
Empresa:
PLUXEE ESPAÑA SAU
Tiempo completo
puesto Publicado en 2026-07-18
Especializaciones laborales:
-
Desarrollo de Software
Desarrollador/a SQL, Ingeniero de datos
Descripción del trabajo
At Pluxee, we shape the world of employee benefits and engagement by creating a personalised and sustainable employee experience, on and off the job. The Data Engineer plays a critical role in Pluxee’s decentralized Data Hub & Spoke model, contributing to the transformation of data into actionable insights across multiple countries.
What you’ll be doing- 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 organisational standards.
- Contribute to data governance initiatives, promote best practices, and share knowledge across teams.
- Solid SQL skills, including window functions, CTEs, incremental processing patterns, and optimisation techniques.
- Hands‑on experience with dbt, including modelling, testing, documentation, macros, and package management.
- Strong understanding of data modelling concepts such as dimensional modelling, schema design, snapshotting, and incremental approaches.
- Experience with 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 Click House is a plus.
- Comfortable communicating in English and Spanish, and motivated by solving complex data challenges in a global environment.
Location:
Spain
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