Company Description
NIQ is a publicly traded company, the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights, delivered with advanced analytics through state-of-the-art platforms. We're looking for an experienced Data Engineer to join our growing Machine Learning team. You'll build and maintain the data infrastructure that powers our ML workflows, from raw data ingestion to model deployment.
Design and build data pipelines/flows for ML use cases
Deploy and manage flows in orchestration tools
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, particularly on distributed systems and cloud data services
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
~ Hands-on experience with GCP core data services (Cloud Storage, BigQuery, Cloud Build, GKE)
~ Experience with orchestration tools (Airflow, Dagster, or similar)
~ Comfortable working in a Linux environment with Jupyter, Python, Git, Docker, SQL, and NoSQL
~ Strong experience with Pandas, SQL, and writing Dockerfiles

Experience building data pipelines for AI models
Adaptable working environment
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. If you have questions, require accommodations, or wish to request human review were permitted by law, please con

📌 Senior Engineer, Data Engineering (Madrid)
🏢 NielsenIQ
📍 Madrid