Job Description

As a Data Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about supporting and progressing leading edge solutions to meet our business requirements.
- Help establish Data Engineering best practices with Label Insight domain
- Design, develop, and implement end-to-end ETL and ELT pipelines
- Create and improve complex queries and data transformation operations
- Collaborate with stakeholders to design, develop and implement data extraction and reporting solutions (define requirements, refine, etc.) that best match their needs.
- Supporting business functions to maximize the value of their data assets through visualizations and reporting tools such as Looker and Power BI.

Qualifications

We’re looking for people who have:
- Experience with modern data tools (e.g. Snowflake, Airflow, dbt) and cloud environments
- Strong programming (esp. Python) and SQL skills
- Knowledge of engineering best practices: CI/CD, testing, version control, infrastructure as code
- Strong data modeling skills




- Understanding of both relational and graph databases
- Familiarity with building for agentic data flows
- Experience with various analytical data platforms and technologies
- Experience with Looker, Power BI, or other data visualization platforms
- Experience in custom or structured data integration design, implementation, and maintenance
- Degree in Computer Science, Engineering (or equivalent combination of skills and experience)
- 3+ years working within a data engineering/reporting environment

Benefits
- Versátil working environment
- Volunteer time off
- LinkedIn Learning
- Employee Assistance Program (EAP)

Equal Opportunity/Affirmative Action Employer

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national orig

📌 Data Engineer (Ciudad de México)
🏢 Nielseniq
📍 Ciudad de México