Principal Data Engineer

We are looking for an experienced Principal Data Engineer to join our global data engineering team. This role will be responsible for designing building and optimizing scalable data platforms and pipelines that support advanced analytics and data-driven decision-making.

As a Principal Engineer you will play a key role in defining architecture driving engineering best practices and mentoring other team members while collaborating across global teams.

Key Responsibilities

• Design and implement scalable high-performance data pipelines (batch and near real-time)
• Architect and maintain cloud-based data platforms including data lakes and data warehouses
• Own end-to-end data workflows from ingestion transformation to delivery
• Ensure data quality reliability and observability across data systems
• Collaborate with cross-functional stakeholders to translate business requirements into scalable data solutions
• Drive best practices in Data Engineering DataOps and CI/CD pipelines
• Lead and mentor engineering teams providing technical guidance and code reviews
• Troubleshoot and resolve data pipeline and performance issues across distributed systems
• Contribute to long-term data architecture strategy and platform evolution

Qualifications :

• 610 years of experience in Data Engineering or related roles
• Strong programming skills in Python and SQL (required)
• Hands-on experience with Big Data frameworks (Spark / PySpark)
• Proven experience building and maintaining production-grade data pipelines
• Strong background in data modeling (dimensional modeling lakehouse medallion architecture)
• Experience working with cloud platforms (Azure preferred; AWS/GCP acceptable)
• Experience with data orchestration tools (e.g. Airflow)
• Familiarity with Snowflake Databricks or similar data platforms
• Strong troubleshooting and problem-solving skills in distributed data systems
• Ability to work in a global cross-functional environment (English required)

Additional Information :

Preferred Qualifications

• Experience with streaming technologies (Kafka Spark Streaming)
• Knowledge of DBT CI/CD pipelines and infrastructure-as-code tools (e.g. Terraform)
• Experience with data governance data quality frameworks and observability tools
• Background in large-scale data environments (retail fintech or consulting)
• Experience mentoring engineers or leading technical initiatives

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 NIQs 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 NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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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  Work :

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Employment Type :

Full-time