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.

NIQ is looking for a Senior Data Platform Engineer to join our Financial Services Engineering team. At NIQ, the Financial Services team uses alternative datasets to help global public equity investors (hedge funds, mutual funds, pension funds) make better investment decisions. We work with some of the largest hedge funds in the world.

As a Principal Data Platform Engineer, you will be at the cutting edge of the alternative data space where you will help maintain and improve our data platform, which enables us to develop market research products and delivery data to our customers. In this role, you would also get the opportunity to work with world-class big data and cloud services, such as: AWS, Azure, Snowflake, Databricks, DBT, Airflow, and Looker. Apply now to start taking your career to the next level.

Who we are looking for: You have a strong entrepreneurial spirit and a thirst to solve difficult challenges through innovation and creativity with a strong focus on results

You have a passion for data and the insights it can deliver

You are intellectually curious with a broad range of interests and hobbies

You take ownership of your deliverables

You have excellent analytical communication and interpersonal skills

You have excellent communication skills with both technical and non-technical audiences

You can work with distributed teams situated globally in different geographies

You want to work in a small team with a start-up mentality

You can work well under pressure, prioritize work and be well organized. Relish tackling new challenges, paying attention to details, and, ultimately, growing professionally

Responsibilities: Design, develop, and maintain robust and scalable data pipelines that support the extraction, transformation, and loading of data from various sources into our data platform

Build and extend our automation tools for infrastructure provisioning, auto-scaling, code deployment, monitoring, alerting, reporting, and failover

Collaborate with the engineering team to build and maintain a resilient data platform, ensuring high availability, reliability, and performance





Leverage your expertise in Apache Airflow to orchestrate and manage complex ETL workflows efficiently

Optimize data pipeline performance, troubleshoot issues, and ensure data quality and accuracy through monitoring, testing, and validation

Keep up to date with the latest trends in data engineering and evaluate and introduce new technologies and tools to improve our data infrastructure

Drive the design and implementation of data security and access control policies to protect sensitive information

Collaborate with the DevOps team to ensure seamless deployment and monitoring of data pipelines and workflows Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

7+ years of experience as a Data Engineer with a strong background in ETL processes and data warehousing

4+ years of experience with Apache Airflow for orchestrating data pipelines

Proficiency in using ETL tools and frameworks such as Apache Spark, Matillion

Strong software engineering fundamentals, including proficiency in Python, Java, or other relevant languages

Knowledge of data modeling, data warehousing, and SQL

Expertise in working with both structured and unstructured data

Experience with cloud-based data solutions, such as AWS, GCP, or Azure

Solid understanding of data storage, data transformation, and data integration concepts

Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment

Strong communication and team collaboration skills

Knowledge of data security and encryption best practices is a plus

Ability to work in a general, (English required, interviews will be completed in english) 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 Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook 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

📌 Principal Data Engineer (Ciudad de México)
🏢 Nielseniq
📍 Ciudad de México