Senior Analytics Engineer: Build Global Data Pipelines

Deel; Émirats arabes unis; À distance; AED 514 000 - 698 000; Plein temps

Avantages offerts par ce poste

Stock grant opportunities

Flexible office membership (optional)

Résumé du poste

Deel is the all-in-one payroll and HR platform for global teams, enabling a scalable, compliant infrastructure across 150+ countries. We design data architectures and reporting systems that empower teams to understand performance and opportunities at a glance.

The role focuses on building robust data models, end-to-end data pipelines, and high-quality dashboards using Looker/Tableau, with Python automation and strong collaboration across global teams.

Qualifications

• Bachelor’s or Master’s degree in a field related to data or analytics.
• 6+ years in data analytics engineering or BI development roles.
• Proficient in SQL and data modeling with dbt and data warehousing concepts.
• Experience building dashboards with Looker/Tableau or similar BI tools.
• Python or similar language for data processing and automation.
• Strong multitasking, problem-solving, and collaboration skills.

Responsabilités

• Design, develop, and maintain data models and pipelines to support analytics.
• Manage end-to-end data pipelines from extraction to loading for timely analytics.
• Write complex SQL and develop macros to optimize data transformations.
• Incorporate data quality checks and cleansing routines.
• Collaborate with analysts and other engineers to ensure consistent metrics and definitions.
• Lead portions of analytics meetings and share improvements to workflows.

Connaissances

SQL

dbt

Data Warehousing

Looker/Tableau

Python

Communication

Formation

BSc/MSc in CS/Math/Physics

Outils

Looker

Tableau

dbt

Description du poste

Deel is the all-in-one payroll and HR platform for global teams, enabling a scalable, compliant infrastructure across 150+ countries. We design data architectures and reporting systems that empower teams to understand performance and opportunities at a glance.

The role focuses on building robust data models, end-to-end data pipelines, and high-quality dashboards using Looker/Tableau, with Python automation and strong collaboration across global teams.