NIQ is a publicly traded company, 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 (TM).
We're looking for an experienced Data Engineer to join our growing Machine Learning team. You'll build and maintain the data infrastructure that powers our ML workflows, from raw data ingestion to model deployment.
Job DescriptionResponsibilities
- Design and build data pipelines/flows for ML use cases
- Implement data versioning practices
- Deploy and manage flows in orchestration tools
- Improve and maintain CI/CD pipelines
- Manage Python dependencies (Poetry, uv)
- Deploy data scientists' scripts and models from notebooks to production
- Implement data quality checks to ensure pipeline reliability
- Optimize data processing jobs for performance and cost, particularly on distributed systems and cloud data services
Qualifications
- 3–5 years of experience as a Data Engineer
- Strong proficiency in Python
- Experience with distributed systems for big data processing (Dask, Spark)
- Experience building ETL pipelines
- Experience building reliable, maintainable data pipelines
- Hands-on experience with GCP core data services (Cloud Storage, BigQuery, Cloud Build, GKE)
- Experience with orchestration tools (Airflow, Dagster, or similar)
- Comfortable working in a Linux environment with Jupyter, Python, Git, Docker, SQL, and NoSQL
- Strong experience with Pandas, SQL, and writing Dockerfiles
- Professional-level English
Nice to have
- Experience with ML datasets
- Experience building data pipelines for AI models
- Experience with LangGraph and RAG systems
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
Skills Required
- 3-5 years of experience as a Data Engineer
- Strong proficiency in Python
- Experience with distributed systems for big data processing, such as Dask or Spark
- Experience building ETL pipelines
- Experience building reliable, maintainable data pipelines
- Hands-on experience with GCP core data services, including Cloud Storage, BigQuery, Cloud Build, and GKE
- Experience with orchestration tools such as Airflow, Dagster, or similar
- Comfort working in a Linux environment with Jupyter, Python, Git, Docker, SQL, and NoSQL
- Strong experience with Pandas, SQL, and writing Dockerfiles
- Professional-level English
- Experience with ML datasets
- Experience building data pipelines for AI models
- Experience with LangGraph and RAG systems
NielsenIQ Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NielsenIQ and has not been reviewed or approved by NielsenIQ.
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Parental & Family Support — Public materials highlight paid parental leave in the U.S., with additional paid disability time for birth parents. Parental leave is positioned as a standout element of the package.
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Leave & Time Off Breadth — Unlimited or flexible PTO is referenced alongside paid holidays and sick leave, providing broad time-off options in many roles. Actual use can vary by team norms, but the formal breadth is notable.
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Flexible Benefits — Work-from-home and hybrid arrangements are supported in many roles, with remote-friendly practices described across business lines. Flexibility is frequently positioned as a meaningful advantage.
NielsenIQ Insights
What We Do
NielsenIQ is the industry leader in global measurement and data analytics, and the most trusted source for retail and consumer intelligence. We deliver the complete truth to retailers, manufacturers, and our partners through our comprehensive data sets and powerful insights. We enable businesses to make critical decisions confidently, accelerating growth and optimizing performance.
Why Work With Us
We empower companies around the world to make bold decisions and transform their business with trusted data, solutions, and insights. Joining NielsenIQ means experiencing countless learning opportunities and gaining numerous pathways for growth.
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