Data Engineer

About the role

NielsenIQ, a global consumer intelligence company, is looking for a Data Engineer to join its global data engineering team. The role builds and maintains scalable data pipelines and supports the delivery of high-quality data for analytics and business insights, working closely with cross-functional teams to ensure data availability, reliability and performance.

Key responsibilities

• Build, maintain and optimize data pipelines (ETL/ELT) for large-scale datasets
• Develop scalable data solutions for data ingestion, transformation and delivery
• Ensure data quality, validation and reliability across pipelines
• Work with stakeholders to turn their data needs into technical solutions
• Debug and troubleshoot data issues across pipelines and systems
• Support data modeling efforts (e.g., star schema, dimensional models)
• Improve pipeline performance and reduce latency
• Collaborate with global teams in a fast-paced environment

Required profile

• 2-4 years of experience in Data Engineering or related roles
• Experience with data pipelines and ETL processes
• Strong problem-solving and debugging skills
• Ability to work in a global environment; English required
• Preferred: experience with large-scale datasets and exposure to CI/CD or DataOps practices

Required skills

• Python and SQL (required)
• Familiarity with cloud platforms (Azure, AWS or GCP)
• Data warehousing solutions (Snowflake, Redshift, BigQuery, etc.)
• Preferred: Spark / PySpark, Airflow, DBT or similar transformation tools

What we offer

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee Assistance Program (EAP)