MX AI Builder - Associate

PwC; Navojoa; Presencial; MXN 300.000 - 520.000; Jornada completa

Descripción de la vacante

PwC Acceleration Center Mexico is seeking an Associate in Data and Analytics Engineering to design and build data infrastructure enabling efficient processing and analysis. You will develop data pipelines and transformations, leveraging Airflow, Azure Data Factory, AWS, and Databricks to deliver actionable insights for diverse client projects.

You will work across teams, learn continuously, and contribute to client engagements while growing your technical knowledge and personal brand within the

Formación

• Bachelor's degree required.
• 1+ year of experience in data engineering or related field.
• Fluent English (spoken and written).
• Proficiency with data platforms like Databricks and Snowflake; cloud experience is a plus.

Responsabilidades

• Design and develop data infrastructure and systems for efficient data processing and analysis.
• Implement data pipelines, integration, and transformation to convert raw data into actionable insights.
• Utilize Apache Airflow and Azure Data Factory for scalable data engineering processes.
• Manage data architecture development and database optimization to enhance performance.
• Apply data validation and quality techniques to maintain data integrity and accuracy.
• Leverage AWS and Microsoft Azure Databricks for cloud-based data solutions.
• Collaborate with team members to address diverse client needs and project challenges.
• Engage in continuous learning to adapt to new technologies and methodologies in data engineering.
• Build a personal brand by delivering quality work and contributing to team success.

Conocimientos

Data engineering

Educación

Bachelor's degree

Herramientas

Databricks

Snowflake

AWS

Azure

Apache Airflow

Azure Data Factory

Descripción del empleo

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 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
• 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

Travel Requirements

Up to 20%

Job Posting End Date

noviembre 18, 2026