Senior Data Engineer

NielsenIQ; Ciudad de México; Presencial; MXN 664.176 - 795.551; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Volunteer time off

Descripción de la vacante

A leading market analytics firm seeks a Big Data Software Engineer to design and maintain ETL pipelines, automate report generation, and partner with global teams. The role requires 5+ years of experience in data engineering, strong skills in Python, and familiarity with tools like Snowflake and Airflow. This position offers a hybrid work environment, encouraging flexibility and diversity in the workplace.

Formación

• 5+ years of experience building ETL pipelines.
• Hands-on experience with workflow orchestration tools.
• Working knowledge of major cloud platforms and data services.

Responsabilidades

• Design and maintain ETL pipelines for data ingestion.
• Automate report generation and data solutions.
• Collaborate with product and analytics teams.

Conocimientos

Building and maintaining ETL pipelines using Python

Data warehousing and analytics

Use of workflow orchestration tools like Airflow

Experience with Snowflake

Collaboration with distributed teams

Educación

Degree in Computer Science, Information Science or related field

Herramientas

Python

Snowflake

Airflow

dbt

AWS, GCP or Azure

BI tools (Looker, Tableau, Qlik)

Descripción del empleo

• Compensation: MXN 65,400 - MXN 65,400 - monthly

Company Description

At NIQ, we focus on consumer buying behavior to support growth. We are looking for a Big Data Software Engineer to join our NIQ Activate Technology team in Yokne'am Illit, Israel. This is a hybrid work environment with the expectation of being in the office 2-3 days a week.

Job Description

What You’ll Do

• Design, build, and maintain ETL pipelines for data ingestion, transformation, and delivery.
• Automate and maintain report generation using Snowflake, dbt, and Airflow.
• Build scalable data pipelines and transformations in Python.
• Apply cloud best practices for data storage, partitioning, performance, and cost.
• Own production pipelines, including monitoring and continuous improvement.
• Troubleshoot data and pipeline issues from clients and internal teams; identify root causes and implement durable fixes.
• Write maintainable, tested code and participate in code reviews.
• Adapt pipelines to changing business and client requirements.
• Partner with analytics, engineering, and product teams on data initiatives.
• Deliver data solutions for financial use cases end to end.

Qualifications

We’re looking for candidates who have:

• Degree in Computer Science, Information Science, or a related quantitative field.
• 5+ years of experience building and maintaining ETL pipelines using Python.
• Strong experience with data warehouses and analytics platforms (Snowflake preferred).
• Hands‑on experience with workflow orchestration tools such as Airflow.
• Experience with dbt or similar transformation frameworks.
• Working knowledge of a major cloud platform (AWS, GCP, or Azure) and data services (e.g., S3, Redshift, BigQuery).
• Familiarity with BI tools such as Looker, Tableau, or Qlik.
• Understanding of CI/CD pipelines and DevOps best practices.
• Strong analytical skills with attention to data quality and correctness.
• Clear communication skills with both technical and non‑technical stakeholders.
• Comfortable collaborating with globally distributed teams.

Benefits

• Flexible working environment
• Volunteer time off

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.