Engineering Manager - Data engineering

Company Description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it's consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Job Description

We are building the future of media measurement, and our modern data platform is at the heart of this

transformation. We are seeking an experienced Manager, Data Engineering to lead a new, high-impact

team dedicated to designing, building, and scaling our next-generation data processing platform and

robust ETL / ELT pipelines.

This is a critical leadership role for a strong technical problem-solver. You will guide a talented team of

Data and Platform Engineers responsible for designing, building, and scaling the foundational data

infrastructure, tools, and pipelines that process petabytes of audience data.

This position requires a leader who can bridge the gap between massive data volumes, complex business

logic, and reliable, highly-available systems. You'll be the key technical and people leader, driving project

execution from concept to production and solving complex architectural challenges that are fundamental

to how we measure audience engagement and deliver critical client insights.

What You'll Do

• Lead & Mentor : Manage, coach, and develop a high-performing team of Data and Platform

Engineers, fostering a culture of innovation, collaboration, and engineering excellence focused

on data quality and throughput.

data pipelines and data warehouse—from concept and architecture to deployment,

observability, and iteration.

technical roadmap and architecture for a scalable, reliable, and secure data processing platform.

through complex system design, data integration challenges, and performance bottlenecks in big

data environments.

stakeholders in product, operations, and other business units to translate complex data needs

into concrete technical solutions.

automated testing, CI / CD, security, and platform reliability across all data infrastructure.

large-scale ETL / ELT processes, real-time data streaming solutions, and big data stores.

Qualifications

Additional Information

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Skills Required

Kafka, Data Modeling, Data Warehousing Concepts, Rdbms, Terraform, Docker, Mysql, Python, Monitoring, Logging, Scala, Dynamodb, containerization , Spark, Distributed Systems, Mongodb, Kubernetes