Data Engineer

NielsenIQ; Madrid; Presencial; EUR 38.000 - 55.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Volunteer time off

Descripción de la vacante

NIQ is seeking an experienced Data Engineer to join our growing Machine Learning team in Madrid, Spain. You'll build and maintain data infrastructure powering ML workflows, from raw data ingestion to model deployment.

Responsibilities include designing data pipelines, deploying flows in orchestration tools, improving CI/CD, and ensuring data quality across distributed cloud environments using GCP services. Collaboration with data scientists is essential for scalable ML delivery.

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 and CI/CD.
• Hands-on experience with GCP core data services (BigQuery, Cloud Storage, 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.

Responsabilidades

• Design and build data pipelines/flows for ML use cases
• Deploy and manage flows in orchestration tools
• Improve and maintain CI/CD pipelines
• 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

Pandas

SQL

NoSQL

Linux

Jupyter

Git

Docker

Dockerfiles

Airflow

Dagster

Spark

Dask

BigQuery

Cloud Storage

Cloud Build

GKE

Herramientas

Docker

Airflow

Dagster

Spark

Dask

BigQuery

Cloud Storage

Cloud Build

GKE

Descripción del empleo

• Compensation: EUR 38400 - EUR 55000 - yearly

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
• Deploy and manage flows in orchestration tools
• Improve and maintain CI/CD pipelines
• 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
• 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

Nice to have

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

Additional Information

• Flexible working environment
• Volunteer time off

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(TM). 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

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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 thehttps://nielseniq.com/global/en/news-center/diversity-inclusion

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