Ingeniero de Análisis

☀️Happy at work

Ameaningful job:Be the change! Help us build the future of employee benefits by bringing to life sustainable and personalized experiences and contribute to makinga 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 afast pacedand innovative environment. We respect and care authentically about our people, we embrace wellbeing and work-life balance, newideasand we have a lot of fun!

An empowering environment:Be yourself! AtPluxeewe proudly embrace diversity and value the uniqueness of our talents, fostering an inclusivework placewhere all abilities are celebrated, and equal learning and growing opportunities are a given.

🌟You'rea match

You're the right fit if you bring:

• SolidSQL skills,includingwindow functions, CTEs, incrementalprocessingpatterns, andoptimization techniques.

• Hands-on experience withdbt,includingmodeling, testing, documentation, macros, and packagemanagement.

• Strong understanding ofdata modelingconcepts,such asdimensional modeling, schema design, snapshotting, and incremental approaches.

• A software engineering workflow:git, pull requests, and CI/CD for data, treatingdbtmodels as production code.

• Familiarity withdata qualityframeworks, monitoring, observability, and anomaly detection practices.

• Ability totranslate business requirementsinto scalable and maintainable data models and data products.

• Experienceworking in cross-functional teamsand communicating technical decisions clearly to non-data engineers.

• Experience withClickHouseis a plus.

You'llthrive in this role ifyou'recomfortable communicating in English and Spanish, enjoy collaborating with multicultural teams, and are motivated by solving complex data challenges in a global environment.

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. As part of a regional Data Spoke team, this individual contributor builds robust and scalable data pipelines and models to serve business intelligence, operational analytics, and machine learning use cases. The role collaborates closely with the global Data Competence Center and contributes to transversal initiatives across countries, ensuring adherence to architecture, governance, and security standards.

🚀Your next challenge

Cobee byPluxeeis changing how it builds its data model. Instead of acentralisedteam building global entities, each product domain will own andmaintainits own data layer.You'llbe one of the engineers making that shift happen.

As an Analyst Engineer,you'llembed in a product domain and build the transformation layer between raw data and business consumption.You'lltakeBronzedata and turn it into a reliable, well-testedSilverlayer, applying the same discipline to data models that a software engineer applies to application code. Your outputisn'tinsights or reports.It'sproduction-grade models other teams can depend on.

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

💻Whatyou'llbe doing

As an Analyst Engineer, you will:

• Build andmaintainproduction-grade data modelsfollowing industry best practices and established data engineering standards.

• Design stableand well-structureddataschemaswithclear namingconventions,definedgranularityand documented business logic.

• Implementautomated data quality controls, including tests, validations, and business-rule checks as part of the development lifecycle.

• Monitor andmaintaindata reliability, proactivelyidentifyingand resolving data quality, freshness, and performance issues.

• Managedata model evolutionthrough versioning, change management, and clear communication with downstream consumers.

• Work within amodern software engineering workflowusing Git, pull requests, code reviews, and CI/CD practices.

• Collaborate with cross-functional teamsto ensure data solutions align with business requirements and organizational standards.

• Contribute todata governance initiatives, promote best practices, and share knowledge across teams.

Permanent Regular

📍Your Location:

Spain