About this role

Company Description

At NielsenIQ, we deliver the most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. We are looking to add a Data Engineer to our Label Insight team.

Label Insight plays a crucial part in how we digitize, enhance and distribute data to clients and the wider NielsenIQ business. To help achieve this, we work with open data ecosystems in the cloud. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow.  

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.  

What you’ll do 

  • 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. 

#LI-Hybrid #LI-SG5

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  

Additional Information

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Frequently Asked Questions

Is the salary disclosed for the Data Engineer position at NielsenIQ?
The salary for this Data Engineer role at NielsenIQ is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer position at NielsenIQ located?
This Data Engineer role at NielsenIQ is based in Ciudad de México, Ciudad de México, Mexico City, Mexico, Mexico City, mx. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Engineer role at NielsenIQ full-time or part-time?
This is listed as a Full time position. It is posted as a Data Engineer role at NielsenIQ.
How do I apply for the Data Engineer position at NielsenIQ?
Click the "Apply Now" button on this page. You will be redirected to NielsenIQ's official application portal hosted on smartrecruiters where you can submit your application directly.
When was the Data Engineer job at NielsenIQ posted?
This Data Engineer position at NielsenIQ was posted on Jun 25, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer
NielsenIQ
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