Data Engineer Analyst

Deloitte Americas Delivery Mexico; Región Centro; On-site; MXN 420,000 - 660,000; Full time

Job summary

Deloitte Americas Delivery Mexico (ADMX) is seeking an experienced Data Engineer Analyst to design and implement end-to-end data pipelines. You will bridge business needs with technology solutions, delivering scalable data platform components and ensuring data quality.

The role involves collaboration across analytics teams and client workshops in a multinational setting. Ideal candidates have 1–3+ years of experience, strong Python skills, Spark/dbt exposure, and advanced English.

Qualifications

• 1-3+ years of consulting and/or industry experience.
• Completion of course of study/ Egresado in Computer Science/IT/Computer Engineering, or any pertinent field or industry, or equivalent years of experience.
• Advanced English level.
• Python: writes modular, production-grade code; applies OOP patterns; familiar with testing frameworks (pytest).
• Data Engineering: Hands-on experience with Spark, dbt, or similar; designs medallion architectures

Responsibilities

• As an Analyst you will function as an integrator between business needs and technology solutions, helping to create solutions to meet clients’ business needs.
• Analysts gain exposure to multiple industries while demonstrating an awareness of the full breadth of services offered by Deloitte Consulting LLP .
• Design and deliver data pipelines and platform components.
• Designs end-to-end data pipelines including ingestion, transformation, and load layers.
• Implements data quality frameworks and observability practices.
• Collaborate with Analytics and AI engineers to align data models with consumption needs.
• Contributes to technical documentation and data dictionaries.
• Participates in client workshops; translates business requirements into technical designs.

Skills

Python

Data Engineering

Advanced English

Education

Bachelors in Computer Science/IT/Computer Engineering

Tools

Spark

dbt

Job description

Data Engineer Analyst – Americas Delivery Mexico (ADMX)

Are you an experienced, passionate pioneer in technology? A Data Engineer Analyst who wants to work in a collaborative environment? As an experienced Data Engineer Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel.

Americas Delivery Mexico (ADMX) leverages scale and talent to provide high quality, cost-effective service to our clients. ADMX is a member of the Global Delivery Network which has presence across the world with Delivery centers in the United States, Romania, India, Spain, China, and the Philippines. ADMX is in Queretaro, Mexico. We provide consulting services to help our clients achieve a higher level of service in operational efficiency and business value. We are a team of professionals passionate about serving clients with distinction and learning, and we are driven by our purpose: Making an impact that matters for our clients, our people, and society.

Work you’ll do/Responsibilities

• As an Analyst you will function as an integrator between business needs and technology solutions, helping to create solutions to meet clients’ business needs.
• Analysts gain exposure to multiple industries while demonstrating an awareness of the full breadth of services offered by Deloitte Consulting LLP .
• Design and deliver data pipelines and platform components.
• Designs end-to-end data pipelines including ingestion, transformation, and load layers.
• Implements data quality frameworks and observability practices.
• Collaborate with Analytics and AI engineers to align data models with consumption needs.
• Contributes to technical documentation and data dictionaries.
• Participates in client workshops; translates business requirements into technical designs.

Required

• 1-3+ years of consulting and/or industry experience.
• Completion of course of study/ Egresado in Computer Science/IT/Computer Engineering, or any pertinent field or industry, or equivalent years of experience.
• Advanced English level.
• Python: writes modular, production-grade code; applies OOP patterns; familiar with testing frameworks (pytest).
• Data Engineering: Hands-on experience with Spark, dbt, or similar; designs medallion architectures