MX AI Builder - Associate

PwC México; Mexico; On-site; MXN 300,000 - 520,000; Full time

Job summary

PwC Acceleration Center Mexico is seeking an Associate in Data and Analytics Engineering to design and build data infrastructure and systems for efficient processing and analysis. You will develop data pipelines, data integration, and transformation solutions while collaborating with global teams across Advisory, Assurance, Tax and Business Services.

You will learn to deploy platforms such as Apache Airflow and Azure Data Factory, leverage AWS and Azure Databricks, and apply data validation

Qualifications

• Bachelor's degree required or equivalent.
• At least 1 year of data engineering experience.
• Proficiency in English (oral and written) required.

Responsibilities

• Designing and developing data infrastructure and systems to support efficient data processing and analysis
• Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
• Utilizing platforms such as Apache Airflow and Azure Data Factory for scalable data engineering processes
• Managing data architecture development and database optimization to enhance performance and reliability
• Applying data validation and quality techniques to maintain data integrity and accuracy
• Leveraging AWS and Azure Databricks for cloud-based data solutions
• Collaborating with team members to address diverse client needs and project challenges
• Engaging in continuous learning to adapt to new technologies and methodologies in data engineering
• Building a personal brand by consistently delivering quality work and contributing to team success
• Gathering and analyzing information from various sources to discern patterns and inform decision-making

Skills

Data engineering

Data pipelines

Cloud platforms

Agile

Education

Bachelor's degree

Tools

Apache Airflow

Azure Data Factory

Databricks

Snowflake

AWS

Azure

Job description

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 Associate in Data and Analytics Engineering, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As an Associate, you will be driven by curiosity and contribute 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.

In this role at PwC Acceleration Center Mexico, you will transform raw data into actionable insights, enabling informed decision‑making and driving business growth. Within our Internal Firm Services practice, you will adapt to working with a variety of clients and team members, each presenting unique challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering work that drives value for our clients and success as a team. You will build a brand for yourself, opening doors to more opportunities as you navigate through the firm.

Responsibilities

• Designing and developing data infrastructure and systems to support efficient data processing and analysis
• Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
• Utilizing platforms such as Apache Airflow and Azure Data Factory for scalable data engineering processes
• Managing data architecture development and database optimization to enhance performance and reliability
• Applying data validation and quality techniques to maintain data integrity and accuracy
• Leveraging Amazon Web Services (AWS) and Microsoft Azure Databricks for cloud‑based data solutions
• Collaborating with team members to address diverse client needs and project challenges
• Engaging in continuous learning to adapt to new technologies and methodologies in data engineering
• Building a personal brand by consistently delivering quality work and contributing to team success
• Gathering and analyzing information from various sources to discern patterns and inform decision‑making

What You Must Have

• At least a Bachelor's degree
• At least 1 year 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
• Demonstrating proficiency in data engineering platforms like Databricks and Snowflake
• Utilizing cloud services such as AWS and Azure for data solutions
• Applying knowledge of data architecture and modeling techniques
• Excelling in database management and optimization strategies
• Engaging in agile methodologies to enhance project delivery
• Adapting to fast‑paced environments with diverse client interactions