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PwC

Acceleration Center - Data Engineer - Senior Associate

Mexico City · Guadalajara

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hirly's read of this role

Role family
Data & ML
Seniority
Senior
Country
MX
Work mode
On-site / unstated
First seen by hirly
1 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Industry/Sector

Not Applicable

Specialism

Domestic Tax Compliance

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center Mexico and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As an Acceleration Center - Data Engineer - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Tax practice, you will focus on utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, learning how to manage and inspire others while navigating increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality work and embracing ambiguity as opportunities for growth.

In this role at PwC Acceleration Center Mexico, you will be part of a dynamic team that focuses on leveraging data to drive insights and make informed business decisions. You will utilize a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is changing. This position offers a chance to deepen your technical skills and awareness of your strengths, while upholding professional and technical standards.

  • Responsibilities
  • - Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
  • - Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
  • - Building and maintaining meaningful client connections to understand and anticipate their needs
  • - Navigating complex situations to deliver quality solutions and grow personal skills
  • - Developing and implementing data integration and data quality improvement plans
  • - Conducting exploratory data analysis to inform insights and recommendations
  • - Creating and managing dashboards using tools to visualize data effectively
  • - Collaborating with teams to design and optimize data pipelines and data warehouses
  • - Applying machine learning and predictive modeling techniques to enhance business outcomes
  • - Upholding professional and technical standards in all data analysis activities
  • What You Must Have
  • - Bachelor's degree in any related area, must have 100% credits and obtained "Título"
  • - At least 4 years of experience in related roles
  • - Oral and written proficiency in English required (B2 at least)

- Strong experience with Snowflake, Sigma and/or Databricks

- Ability to work with large, complex datasets and ensure data accuracy

  • What Sets You Apart
  • - Demonstrating proficiency in data visualization
  • - Developing complex data models and algorithms for business solutions
  • - Leveraging machine learning tools to enhance data-driven decision-making
  • - Excelling in creating data visualizations
  • - Demonstrating proficiency in predictive analytics and modeling

Join us to drive data innovation and empower business insights at PwC Mexico’s Acceleration Center!

Travel Requirements

Up to 20%

Job Posting End Date

Original posting on PwC's site ↗

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