NielsenIQ (NIQ) is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior. With operations in more than 90 countries, NIQ provides manufacturers and retailers with accurate, actionable insights to innovate and grow.
Job DescriptionWe are looking for a talented Data Engineer to join our global data engineering team. In this role, you will be responsible for building and maintaining scalable data pipelines and supporting the delivery of high-quality data for analytics and business insights.
You will work closely with cross-functional teams to ensure data availability, reliability, and performance across our platforms.
Key Responsibilities
- Build, maintain, and optimize data pipelines (ETL/ELT) for large-scale datasets
- Develop scalable data solutions for data ingestion, transformation, and delivery
- Ensure data quality, validation, and reliability across pipelines
- Work with stakeholders to understand data needs and translate them into technical solutions
- Debug and troubleshoot data issues across pipelines and systems
- Support data modeling efforts (e.g., star schema, dimensional models)
- Contribute to improving pipeline performance and reducing latency
- Collaborate with global teams in a fast-paced environment
- 2–4 years of experience in Data Engineering or related roles
- Strong programming skills in Python and SQL (required)
- Experience working with data pipelines and ETL processes
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- Experience with data warehousing solutions (Snowflake, Redshift, BigQuery, etc.)
- Understanding of data modeling concepts
- Strong problem-solving and debugging skills
- Ability to work in a global environment (English required)
Preferred Qualifications
- Experience with Spark / PySpark
- Familiarity with orchestration tools such as Airflow
- Knowledge of DBT or similar transformation tools
- Experience working with large-scale datasets
- Exposure to CI/CD or DataOps practices
What You’ll Need to Succeed
- Strong attention to detail and data quality
- Hands-on mindset with ability to learn quickly
- Ownership of tasks and ability to work independently
- Good communication and collaboration skills
- Interest in building scalable data 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
- 2-4 years of experience in Data Engineering or related roles
- Strong programming skills in Python
- Strong programming skills in SQL
- Experience working with data pipelines and ETL processes
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- Experience with data warehousing solutions (Snowflake, Redshift, BigQuery, etc.)
- Understanding of data modeling concepts (star schema, dimensional models)
- Strong problem-solving and debugging skills
- Ability to work in a global environment; English required
- Experience with Spark / PySpark
- Familiarity with orchestration tools such as Airflow
- Knowledge of DBT or similar transformation tools
- Experience working with large-scale datasets
- Exposure to CI/CD or DataOps practices
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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