Data Engineer

About the role

NielsenIQ is looking for a Data Engineer to join the Label Insight team. Label Insight helps digitize, enhance, and distribute data to clients and the wider NielsenIQ business, working with open data ecosystems in the cloud.

You’ll be part of a team of technologists supporting and progressing solutions to meet business requirements. Clients around the world rely on NielsenIQ’s data and insights to innovate and grow.

Responsibilities

• Help establish data engineering best practices within the Label Insight domain.
• Design, develop, and implement end-to-end ETL and ELT pipelines.
• Create and improve complex queries and data transformation operations.
• Collaborate with stakeholders to define requirements and develop data extraction and reporting solutions that match their needs.
• Support business functions in maximizing the value of their data assets through visualizations and reporting tools such as Looker and Power BI.

Requirements

• Experience with modern data tools, such as Snowflake, Airflow, and dbt, and cloud environments.
• Strong programming skills, especially Python, and SQL skills.
• Knowledge of engineering best practices, including CI/CD, testing, version control, and infrastructure as code.
• Strong data modeling skills and understanding of relational and graph databases.
• Familiarity with building for agentic data flows.
• Experience with analytical data platforms and technologies, data visualization platforms such as Looker or Power BI, and custom or structured data integration design, implementation, and maintenance.
• Degree in Computer Science or Engineering, or an equivalent combination of skills and experience.
• 3+ years working within a data...

Datos clave

• El puesto forma parte del equipo Label Insight de NielsenIQ.
• Diseñar, desarrollar e implementar pipelines ETL y ELT.
• Se requieren conocimientos de Python, SQL y herramientas como Snowflake, Airflow y dbt.