Analytics Engineer

Deel; Ibiza; A distancia; EUR 55.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

WeWork access (optional)

Descripción de la vacante

Deel is seeking a Data Analytics Engineer to design and maintain data models and end-to-end pipelines. You will ensure reliable metrics and collaborate with analytics teams to promote consistent definitions across the organization.

The role requires 3+ years of experience in data analytics engineering or BI development, strong SQL with dbt, and hands-on BI tool experience (Looker/Tableau). Remote work is available with optional WeWork access.

Formación

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics or a related field.
• 3+ years of experience in data analytics engineering or BI development.
• Strong SQL and dbt experience with data warehousing concepts.

Responsabilidades

• Design, develop, and maintain data models and end-to-end data pipelines.
• Ensure data quality checks and reliable datasets for analysis.
• Collaborate with analysts and engineers to ensure consistent metrics and definitions.
• Lead portions of meetings or share improvements to analytics workflows.

Conocimientos

SQL

Data modeling

Data quality

Team collaboration

Communication

Meeting leadership

Problem solving

Educación

Bachelor’s or Master’s degree in a relevant field

Herramientas

dbt

Looker

Tableau

Python

Descripción del empleo

As a Data Analytics Engineer at Deel, you design and maintain data models and end-to-end pipelines to deliver timely, reliable data for analysis. You work with analytics engineers and analysts to ensure consistent metrics and definitions across the team. You apply SQL and dbt to transform data and validate quality, optimizing performance as needed. You will contribute to analytics workflows and occasionally lead parts of meetings. This role supports Deel’s mission to enable a global, compliant, data-driven workforce.

• Remote work with optional WeWork access
• Design, develop, and maintain data models (e.g., in dbt) aligned with data architecture and business requirements
• Manage data pipelines end-to-end from extraction to transformation and loading
• Use complex SQL queries and macros to transform data and optimize performance
• Incorporate data quality checks and cleansing routines for reliable datasets
• Collaborate with data analysts and analytics engineers to ensure consistency and accuracy of metrics
• Contribute to team processes by leading portions of meetings or sharing improvements to analytics workflows
• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Mathematics, Physics)
• At least 3 years of experience in data analytics engineering or BI development
• Strong proficiency in SQL and experience with dbt and data warehousing concepts
• Hands-on experience with BI platforms (Looker, Tableau, or similar)
• Basic programming skills in Python or similar language for data processing and automation
• Proven ability to handle multiple data projects, troubleshoot data issues, and meet deadlines
• Good communication skills and ability to collaborate with technical and non-technical team members
• Ability to manage multiple data projects
• SQL
• dbt
• Data modeling