Analytics Engineer

Deel; Oña; A distancia; EUR 52.000 - 76.000; 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 work with analytics engineers and analysts to ensure consistent metrics and definitions across the team, applying SQL and dbt to transform data and validate quality.

You will contribute to analytics workflows and occasionally lead parts of meetings, supporting Deel’s data-driven mission. The role requires a Bachelor's or Master’s degree in a relevant field and at least 3 years of

Formación

• Proficient SQL and dbt for modeling, transformation, and validation.
• Experience in building end-to-end data pipelines and data models.
• Strong knowledge of data warehousing concepts and reporting tools.
• Hands-on Python or similar language for data processing and automation.

Responsabilidades

• Design, develop, and maintain data models and end-to-end pipelines.
• Ensure consistent metrics and definitions across analytics teams.
• Write complex SQL queries and dbt macros for transformations.
• Implement data quality checks and cleansing routines.
• Collaborate with analysts and engineers, lead portions of meetings.

Conocimientos

SQL

dbt

Data warehousing

Looker/Tableau

Python

Data modeling

Communication

Educación

Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics

Herramientas

Looker

Tableau

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