Data Engineer

Nabla; Madrid; Presencial; EUR 45.000 - 80.000; Jornada completa

Descripción de la vacante

NIQ is seeking an experienced Data Engineer to join our Machine Learning team in Madrid. You will build and maintain the data infrastructure powering ML workflows, from raw data ingestion to model deployment, and collaborate with data scientists to push notebooks to production.

Key responsibilities include designing pipelines, implementing data versioning, and managing orchestration tools like Airflow. Strong Python and Linux skills, plus experience with GCP and Docker, are required.

Formación

• 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 working in a Linux environment with Jupyter, Python, Git, Docker, SQL, and NoSQL.
• Strong experience with Pandas, SQL, and writing Dockerfiles.
• Professional‑level English.

Responsabilidades

• 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, particularly on distributed systems and cloud data services.

Conocimientos

Python

Distributed systems

ETL pipelines

Pandas

GCP

Airflow

SQL

Docker

Git

Kubernetes

English

Herramientas

Docker

Airflow

Dagster

Git

Kubernetes

Descripción del empleo

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. NIQ delivers the Full View (TM).

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.

Job Description

Responsibilities

• 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, particularly on distributed systems and cloud data services

Qualifications

Qualifications

• 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 working in a Linux environment with Jupyter, Python, Git, Docker, SQL, and NoSQL
• Strong experience with Pandas, SQL, and writing Dockerfiles
• Professional‑level English

Nice to have

• Experience with ML datasets
• Experience building data pipelines for AI models
• Experience with LangGraph and RAG systems

Additional Information

Our Benefits

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

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. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is 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—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion