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MX AI Builder - Associate

PwC • Mexico

P
PwC

MX AI Builder - Associate

AI / MLNew GradMexico19 days ago

Industry/Sector

Not Applicable

Specialism

IFS - Administration

Management Level

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 MX AI Builder - Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Internal Firm Services practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions, contributing to the success of our clients.

As an Associate, you will be driven by curiosity and adaptability, contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will learn to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. You will navigate increasingly complex situations, anticipate the needs of your teams and clients, and embrace ambiguity as opportunities for growth.

In this role at PwC Acceleration Center Mexico, you will apply a learning mindset, take ownership of your development, and appreciate diverse perspectives. You will actively listen, ask questions, and clearly express ideas, all while committing to understanding how the business works and building commercial awareness.

Responsibilities

  • Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
  • Implementing data pipelines, integration, and transformation solutions to support client needs
  • Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for scalable data engineering solutions
  • Applying data modeling and dimensional modeling techniques to optimize data architecture
  • Managing data quality and validation processes to maintain data integrity
  • Developing and maintaining data warehouses, including Snowflake and other platforms
  • Conducting performance tuning and query optimization for enhanced database performance
  • Collaborating with team members to address data challenges and deliver actionable insights
  • Leveraging Apache Airflow and Apache Hadoop for data pipeline orchestration and management
  • Building a personal brand by consistently delivering quality work and adapting to diverse client environments

What You Must Have

  • At least a Bachelor's degree
  • At least 1 years of experience
  • Oral and written proficiency in English required

What Sets You Apart

  • Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
  • Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for data engineering tasks
  • Developing data architecture and integration strategies for diverse client needs
  • Applying agile methodologies to enhance scalability and performance tuning
  • Excelling in active listening and communication to foster teamwork and collaboration
  • Demonstrating intellectual curiosity and adaptability in fast-paced environments
  • Building commercial awareness and understanding business operations through data analysis

Travel Requirements

Up to 20%

Job Posting End Date

diciembre 1, 2026

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