Analytics Engineer - Data Modeling & Production-Grade SQL

Pluxee; Vitoria; Presencial; EUR 55.000 - 85.000; Jornada completa

Descripción de la vacante

Pluxee is building Cobee by Pluxee Data Product Team to transform raw data into reliable Silver models. As an Analyst Engineer, you will embed in a product domain, craft production-grade data models, and align with data governance standards across a distributed data platform.

You’ll work with cross-functional teams, use modern engineering workflows (Git, PRs, CI/CD), and tackle data quality and performance challenges in a global organization.

Formación

• Solid SQL skills with window functions and performance optimization.
• Experience with dbt modeling, testing, and documentation.
• Knowledge of data modeling concepts, schema design, and incremental approaches.
• Familiarity with git, PRs, and CI/CD for data pipelines.
• Understanding of data quality, governance, and observability.

Responsabilidades

• Build and maintain production-grade data models following standards.
• Design stable data schemas with clear naming and defined granularity.
• Implement automated data quality controls, tests, and validations.
• Monitor data reliability and resolve quality, freshness, and performance issues.
• Manage data model evolution through versioning and change management.
• Work within a modern software engineering workflow using Git and CI/CD.
• Collaborate with cross-functional teams to align data solutions with requirements.
• Contribute to data governance initiatives and share knowledge.

Conocimientos

SQL

Data modeling

Git

CI/CD

Data governance

Data quality

Herramientas

dbt

ClickHouse

Descripción del empleo

Pluxee is building Cobee by Pluxee Data Product Team to transform raw data into reliable Silver models. As an Analyst Engineer, you will embed in a product domain, craft production-grade data models, and align with data governance standards across a distributed data platform.

You’ll work with cross-functional teams, use modern engineering workflows (Git, PRs, CI/CD), and tackle data quality and performance challenges in a global organization.