Total 92 job vacancies by NielsenIQ

We are looking for a meticulous and curious Product Analyst to join our Data Governance team, with a focus on providing robust analysis of our data source quality, defining metrics and reporting to generate actionable insights that drive decision making and trust in the data that powers our products and services.

As we expand our data sources, we need to understand their relative quality and depth to help us prioritise and harmonise product data in a way that provides the most insightful benefit for our clients. This role will work cross-functionally across our product teams and with key internal stakeholders, providing regular updates as well as targeted support and insight as required.

The Label Insight Data Governance Team, situated in our Product Team, is dedicated to ensuring the quality, integrity, and usability of data across the organization. Comprising three specialized teams—Attribute Health, Source Quality, and Data Support—it works collaboratively to uphold robust data standards, validate AI-generated outputs, and provide responsive, client-focused support. Together, the team enables scalable, trustworthy, and insight-ready data that powers our products and services.

Key Responsibilities:

· Evaluate the relative and overall quality of our data sources including data produced by AI models, web scraping, manual coding, and other coded sources

· Define and implement metrics that provide actionable insights to both improve data reliability and quality, and help support prioritisation and harmonisation of our data sources

· Provide consistent reporting on data source quality – using dashboards and reports to communicate trends and issues, and proposed actions to address

· Identify anomalies, patterns, and potential risks in these data sources, with a key focus on ensuring the confidence of AI-generated data

· Design and implement methods to detect outliers, inconsistencies, and unexpected trends in data sources

· Investigate root causes of anomalies and collaborate with technical teams and key stakeholders to address underlying issues

· Support the application of validation rules, checks, and metrics to monitor data quality over time

· Collaborate with data scientists and engineers to refine AI outputs based on quality findings

· As needed, support taxonomy recognition tasks to ensure our attributes achieve the required quality thresholds

Software Engineer with Java/Sprint boot, ETL (SQL, Python, ETL)

Job Summary We are looking for a highly skilled and motivated Software Engineer with strong backend development experience to join our engineering team. The ideal candidate will have a solid foundation in Java-based technologies, database systems, cloud platforms, and modern DevOps practices. You will be responsible for designing, developing, and maintaining scalable, high performance applications while collaborating closely with cross-functional teams to solve complex business and technical challenges.

Key Responsibilities

• Design, develop, test, and maintain robust, scalable, and high-performance software applications.
• Build and maintain backend services using Java and Spring Boot.
• Design and optimize database schemas and queries using SQL and PostgreSQL.
• Develop and support ETL pipelines for data ingestion, transformation, and processing.
• Implement and maintain search and analytics capabilities using Elasticsearch.
• Work with cloud platforms (Azure preferred; AWS/GCP acceptable) to deploy and manage applications.
• Implement and enhance CI/CD pipelines to ensure efficient and reliable software delivery.
• Write clean, maintainable, and well-documented code following best practices.
• Troubleshoot, debug, and resolve complex technical issues in production and non production environments. |
• Collaborate with product managers, architects, QA, and other engineers to deliver high quality solutions.
• Participate in code reviews and contribute to improving coding standards and engineering practices.
• Continuously evaluate and adopt new technologies, tools, and frameworks as needed.
• Take ownership of assigned modules and drive them end-to-end.

Required Technical Skills

• Strong proficiency in Java and Spring Boot.
• Excellent knowledge of SQL and relational databases, especially PostgreSQL.
• Hands-on experience with ETL processes and data pipelines.
• Experience working with Elasticsearch for search, logging, or analytics use cases.
• Solid understanding of cloud computing concepts; hands-on experience with Azure is highly preferred.
• Experience with CI/CD tools and pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins).
• Good understanding of RESTful APIs, microservices architecture, and distributed systems.
• Experience with version control systems (Git).

Non-Technical & Soft Skills
• Strong problem-solving and analytical skills with the ability to handle complex challenges.
• Excellent communication skills, both written and verbal.
• A can-do attitude with a strong sense of ownership and accountability.
• Willingness and enthusiasm to learn new technologies and adapt to changing requirements.
• Ability to work effectively both independently and as part of a team.
• Proactive mindset with attention to detail and quality.

Good to Have (Added Value)
• Experience with system design and performance optimization.
• Knowledge of containerization and orchestration tools (Docker, Kubernetes).
• Exposure to monitoring, logging, and observability tools.
• Experience working in Agile/Scrum development environments.
• Understanding of security best practices for application development.