Principal Data Engineer

NielsenIQ; Ciudad de México; Presencial; MXN 892.800 - 1.049.040; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Volunteer time off

Descripción de la vacante

NielsenIQ is seeking an experienced Principal Data Engineer to join our global data engineering team in Mexico City. In this role, you'll design and implement scalable, high-performance data pipelines and maintain cloud-based data platforms that support advanced analytics.

Your responsibilities will include owning end-to-end data workflows, ensuring data quality, and collaborating across functions. Candidates should have strong Python and SQL skills, along with 6-10+ years of Data Engineering experience. The position offers a supportive and inclusive workplace culture.

Formación

• 6–10+ years of experience in Data Engineering or related roles.
• Strong programming skills in Python and SQL.
• Hands-on experience with Big Data frameworks (Spark/PySpark).
• Proven experience building and maintaining production-grade data pipelines.
• Strong background in data modeling.
• Experience working with cloud platforms, preferably Azure.

Responsabilidades

• Design and implement scalable, high-performance data pipelines.
• Architect and maintain cloud-based data platforms.
• Own end-to-end data workflows from ingestion to delivery.
• Ensure data quality and observability across data systems.
• Collaborate with stakeholders to translate business requirements.

Conocimientos

Python

SQL

Big Data frameworks (Spark / PySpark)

Data modeling

Cloud platforms (Azure preferred)

Data orchestration tools (e.g., Airflow)

Snowflake, Databricks

Troubleshooting skills

Herramientas

Kafka

Terraform

Descripción del empleo

• Compensation: MXN 80,000 - MXN 94,000 - monthly

Company Description

NielsenIQ (NIQ) is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior. With operations in more than 90 countries, NIQ provides manufacturers and retailers with accurate, actionable insights to innovate and grow.

Job Description

We are looking for an experienced Principal Data Engineer to join our global data engineering team. This role will be responsible for designing, building, and optimizing scalable data platforms and pipelines that support advanced analytics and data-driven decision-making.

As a Principal Engineer, you will play a key role in defining architecture, driving engineering best practices, and mentoring other team members while collaborating across global teams.

Key Responsibilities

• Design and implement scalable, high-performance data pipelines (batch and near real-time)
• Architect and maintain cloud-based data platforms, including data lakes and data warehouses
• Own end-to-end data workflows from ingestion, transformation, to delivery
• Ensure data quality, reliability, and observability across data systems
• Collaborate with cross-functional stakeholders to translate business requirements into scalable data solutions
• Drive best practices in Data Engineering, DataOps, and CI/CD pipelines
• Lead and mentor engineering teams, providing technical guidance and code reviews
• Troubleshoot and resolve data pipeline and performance issues across distributed systems
• Contribute to long-term data architecture strategy and platform evolution

Qualifications

• 6–10+ years of experience in Data Engineering or related roles
• Strong programming skills in Python and SQL (required)
• Hands-on experience with Big Data frameworks (Spark / PySpark)
• Proven experience building and maintaining production-grade data pipelines
• Strong background in data modeling (dimensional modeling, lakehouse, medallion architecture)
• Experience working with cloud platforms (Azure preferred; AWS/GCP acceptable)
• Experience with data orchestration tools (e.g., Airflow)
• Familiarity with Snowflake, Databricks, or similar data platforms
• Strong troubleshooting and problem-solving skills in distributed data systems
• Ability to work in a global, cross-functional environment (English required)

Preferred Qualifications

• Experience with streaming technologies (Kafka, Spark Streaming)
• Knowledge of DBT, CI/CD pipelines, and infrastructure-as-code tools (e.g., Terraform)
• Experience with data governance, data quality frameworks, and observability tools
• Background in large-scale data environments (retail, fintech, or consulting)
• Experience mentoring engineers or leading technical initiatives
• Flexible working environment
• Volunteer time off

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.