Data Engineer (Python, Java, SQL, PL/SQL)

CPS Engineering is looking for a highly motivated Data Engineer to join our team and contribute to the evolution
of key CPS platforms, including SMP, DV and DSR The successful candidate will play a critical role in designing,
developing, supporting, and modernizing data and application solutions that are essential to business operations
and product delivery.
This role requires a strong engineering mindset with expertise in data processing, software development, platform
reliability, and operational excellence. The engineer will work within a SAFe Agile environment, contribute to
strategic modernization initiatives, mentor junior engineers, and help drive improvements in security, data quality,
observability, scalability, and performance across our platforms.

Key Responsibilities
Product Development & Delivery
• Deliver high-quality software and data engineering solutions aligned with business requirements and
product roadmaps.
• Participate actively in SAFe Agile ceremonies including PI Planning, Sprint Planning, Reviews, and
Retrospectives.
• Design, develop, test, and deploy scalable applications and data processing solutions.
• Contribute to the full Software Development Life Cycle (SDLC), from requirements analysis through
production deployment.
Data Quality & Security
• Champion data quality initiatives across CPS platforms.
• Ensure adherence to security standards, secure coding practices, and compliance requirements.
• Drive continuous improvement of platform reliability and quality metrics.
• Support and improve Quality Management Reviews (QMR) through proactive monitoring and issue
 

Platform Reliability & Operations
• Provide L3 production support and lead root cause analysis for critical incidents.
• Improve platform observability through enhanced monitoring, alerting, and logging capabilities.
• Identify and implement performance optimization opportunities across applications and databases.
• Drive scalability improvements to support increasing business and data processing demands.

Engineering Excellence
• Build and maintain CI/CD pipelines to enable efficient and reliable software delivery.
• Promote engineering best practices including code reviews, automated testing, and DevOps principles.
• Contribute to platform modernization initiatives and technical debt reduction.
• Leverage modern engineering practices and emerging technologies, including Agentic AI, to improve
productivity, automation, operational efficiency, and software quality.

Team Collaboration & Mentoring
• Mentor and support junior engineers through knowledge sharing, technical guidance, and code reviews.
• Collaborate closely with Product Managers, Architects, Business Analysts, and Engineering teams.
• Contribute to technical discussions, design reviews, and architecture decisions.

Required Qualifications
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• 5+ years of experience in Data Engineering, Software Engineering, or Backend Development.
• Strong experience developing enterprise-grade applications and data processing solutions.
• Proven ability to troubleshoot complex production issues and drive resolution.
• Experience working in Agile and SAFe development environments.
• Strong analytical, problem-solving, and communication skills.
• Experience mentoring junior engineers and contributing to team growth.

Technical Skills
Programming & Development
• Python
• Java
• SQL
• PL/SQL

Data Engineering & Databases
• Data Modeling
• Data Quality Management
• Performance Tuning
• ETL/ELT Processes
• Relational Databases

DevOps & CI/CD
• GitHub
• GitHub Actions
• CI/CD Pipelines
• Automated Testing

Quality & Security
• Zephyr Test Management
• Cycode
• Secure Development Practices
• Vulnerability Remediation
Platform Engineering
• Observability & Monitoring
• Scalability & Performance Engineering
• Production Support (L3)
• Reliability Engineering

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