Jobs Companies PwC Acceleration Center - Data Engineer - Associate

Sobre esta vaga de Acceleration Center - Data Engineer - Associate na PwC

PwC · Presencial · Mexico City

Industry/Sector

Not Applicable

Specialism

Domestic Tax Compliance

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 Acceleration Center - Data Engineer - Associate, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Tax practice, you will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As an Associate, you will be driven by curiosity, adapting to a fast-paced environment while contributing to projects and developing your skills. You will engage with diverse stakeholders, learning to build meaningful connections and manage challenges effectively.

In this role at PwC Acceleration Center Mexico, you will take ownership of your development, consistently delivering quality work that drives value for our clients. You will have the opportunity to build your personal brand, opening doors to further opportunities within the firm. By applying a learning mindset, you will appreciate diverse perspectives and develop habits to sustain performance. This position offers a chance to deepen your understanding of the business context and how it is evolving, while upholding professional and technical standards.

Responsibilities
- Leveraging advanced analytical techniques to extract insights from large datasets and support data-driven decision-making
- Utilizing data manipulation, visualization, and statistical modeling to solve complex business problems
- Developing and maintaining data pipelines to validate seamless data integration and quality
- Conducting exploratory data analysis to identify trends and patterns that inform strategic decisions
- Building and optimizing dashboards to enhance data visualization
- Collaborating with team members to gather and analyze information from diverse sources
- Applying algorithm development and machine learning techniques to improve predictive modeling
- Confirming data integrity and security within analytics frameworks
- Engaging in continuous learning to adapt to new challenges and enhance personal growth
- Supporting the development of data quality improvement plans to enhance data accuracy and reliability


What You Must Have
- Bachelor's degree in any related area, must have 100% credits and desirable "Título"
- At least 1 year of experience in related roles
- Oral and written proficiency in English required (B2 at least)

- 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
- Utilizing machine learning techniques for predictive analytics
- Engaging in complex data analysis and data-driven insights
- Developing skills in data integration and data pipeline management
- Applying algorithm development in data science projects


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

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Sobre a PwC

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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