Experteer Overview
As a Data Engineer in NIQ’s ML team, you will build and maintain the data infrastructure powering our machine learning workflows. You collaborate with data scientists to translate raw data into robust pipelines, ensure data quality, and deploy models from notebooks to production. You’ll optimize data processing for performance and cost on cloud platforms, shaping scalable, reliable data flows that enable cutting-edge consumer insights. This role offers hands-on impact at scale with a focus on robust data platforms and CI/CD for ML.

Compensaciones / Ventajas
• Design and build data pipelines/flows for ML use cases
• Implement data versioning practices
• Deploy and manage flows in orchestration tools
• Improve and maintain CI/CD pipelines
• Manage Python dependencies (Poetry, uv)
• Deploy data scientists' scripts and models from notebooks to production
• Implement data quality checks to ensure pipeline reliability




• Optimize data processing jobs for performance and cost on distributed systems and cloud data services

Responsabilidades
• 3-5 years of experience as a Data Engineer
• Strong proficiency in Python
• Experience with distributed systems for big data processing (Dask, Spark)
• Experience building ETL pipelines
• Experience building reliable, maintainable data pipelines
• Hands-on experience with GCP core data services (Cloud Storage, BigQuery, Cloud Build, GKE)
• Experience with orchestration tools (Airflow, Dagster, or similar)
• Comfortable with Linux, Jupyter, Python, Git, Docker, SQL, and NoSQL
• Strong experience with Pandas, SQL, and writing Dockerfiles

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

📌 Data Engineer (Madrid)
🏢 NielsenIQ
📍 Madrid