Data Engineer (Python, agile, Docker, MSSQL)

Our NielsenIQ technology teams are building new GenAI capabilities into our automation platforms. Our clients around the world rely on NielsenIQ data and insights to innovate and grow, and we are increasingly investing in GenAI to enhance our products.

As a data engineer, you’ll be part of a talented technology team that designs and builds scalable data solutions for our mission-critical applications. Our engineers are true problem-solvers—developing robust data pipelines, optimizing workflows, and ensuring data integrity across a global platform. We leverage modern tools and frameworks to deliver high-quality, secure, and efficient data systems.

Our team is co-located and agile, with central technology hubs in India, US and the UK.

What you’ll do:

• Partner with Product and Development teams to design and implement data solutions
• Build, optimize, and maintain data pipelines using Python and modern frameworks
• Work with essential Python libraries such as

  pandas

  and

  Pydantic

  for data processing and validation
• Implement containerized solutions using

  Docker

  and

  Kubernetes

• Ensure compliance with corporate security practices and data governance standards
• Collaborate on CI/CD workflows using

  GitHub

  and

  GitHub Actions

• Design and manage databases, preferably

  MS SQL Server

  and

  SQLite

• Explore and integrate

  Generative AI APIs

  into data workflows
• Utilize tools like

  GitHub Copilot

  to accelerate development
• Troubleshoot and resolve data-related issues across environments
  

Qualifications

Qualifications:

• 1-4 years of experience in data engineering or software development
• Strong proficiency in

  Python

  , with hands-on experience in building scalable data solutions
• Solid understanding of Agile methodologies and collaborative development practices
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Good knowledge of SQL concepts and database management
• Familiarity with corporate security standards and best practices
• Exposure to Generative AI APIs and modern AI-driven workflows
• Excellent English communication skills, with the ability to work effectively across cross-functional teams
• Experience using tools such as GitHub, JIRA, Confluence, etc
• Bachelor’s or master’s degree in computer science or related field
• Enthusiastic about automation, optimization, and delivering high-quality data solutions
  

Additional Information

Our Benefits

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

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