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Data Engineer

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Deel

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IT - Software Development

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Job Description:

The Data Platform team at Deel is dedicated to building a secure, high-performance infrastructure that empowers our 100+ data professionals. In 2026, our core mission has expanded: we aren't just moving data; we are ensuring its integrity and security. As we scale, your primary focus will be architecting and implementing a robust, unified permission system across our modern data stack—ensuring the right people have the right access at the right time, while keeping Deel compliant with global standards.

Job Responsibility:

  • Design, build, and maintain efficient data pipelines (ETL processes) to integrate data from various source systems into the data warehouse
  • Architect Permissions-as-Code: Design and implement scalable Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) models within Snowflake and Looker
  • Unify the Stack: Create a seamless bridge between data warehouse roles and BI tool permissions, ensuring that security policies in Snowflake (like Row-Level Security) are accurately reflected in Looker
  • Audit & Comply: Support internal and external audits by building automated reporting on data access, usage, and compliance status (GDPR, SOC2, etc.)
  • Develop and optimize data warehouse schemas and tables to support analytics and reporting needs
  • Write and refine complex SQL queries and use scripting (e.g., Python) to transform and aggregate large datasets
  • Implement data quality measures (such as validation checks and cleansing routines) to ensure data integrity and reliability
  • Collaborate with data analysts, data scientists, and other engineers to understand data requirements and deliver appropriate solutions
  • Document pipeline designs, data flows, and data definitions for transparency and future reference, adhering to team standards
  • Handle multiple tasks or projects simultaneously, prioritizing work and communicating progress to stakeholders to meet deadlines

Requirements:

  • Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Mathematics, Physics)
  • At least 3 years of experience in a data engineering or similar backend data development role
  • Strong SQL skills and experience with data modeling and building data warehouse solutions
  • Proficiency in at least one programming language (e.g., Python) for data processing and pipeline automation
  • Familiarity with ETL tools and workflow orchestration frameworks (e.g., Apache Airflow or similar)
  • Experience implementing data quality checks and working with large-scale datasets
  • Good problem-solving abilities, plus strong communication and teamwork skills to work with cross-functional stakeholders

Nice to have:

  • Advanced LookML: Experience building complex Looker models that integrate with Snowflake’s security layers
  • Security Tools: Experience with data discovery or cataloging tools (e.g., Select.dev)
  • dbt Governance: Experience using dbt "tests" and "docs" to enforce data quality and metadata standards
What we offer:
  • Stock grant opportunities dependent on your role, employment status and location
  • Additional perks and benefits based on your employment status and country
  • The flexibility of remote work, including optional WeWork access

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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