Data Engineer

Location: Hybrid role based in the Mexico City office; colleagues are expected to work in the local office or onsite with clients at least three days per week.

Company

Oliver Wyman is a management consulting business of hirify.global, serving organizations through industry expertise, innovation, and collaborative problem-solving.

What you will do

• Design, build, and maintain scalable data pipelines and infrastructure for data-driven initiatives.
• Develop automated pipelines for data collection, transformation, and delivery.
• Improve data models that support business intelligence tools and data-driven decision-making.
• Implement data quality monitoring, integrity controls, integrations, and governance frameworks.
• Partner with business and engineering teams on long-term data platform architecture strategies.
• Document technical designs and provide technical guidance and mentorship.

Requirements

• Bachelor’s or master’s degree in applied mathematics, statistics, computer science, information systems, or a related quantitative discipline.
• At least 2 years of experience in data engineering, software development, or related roles.
• At least 2 years of hands-on experience with Databricks and ETL tools such as SSIS, Azure Data Factory, Alteryx, or Knime.
• At least 2 years of SQL/PLSQL development experience, plus proficiency in Python or R.
• Knowledge of cloud platforms, big data technologies such as Hadoop, Spark, or Kafka, relational and NoSQL databases, and data warehousing.
• Experience with visualization tools such as Tableau or Power BI, strong analytical and problem-solving skills, and effective stakeholder communication.

Culture & Benefits

• Hybrid work combining office collaboration, professional development, and remote flexibility.
• At least three days per week in the local office or onsite with clients.
• Work in a diverse, inclusive, and flexible environment.
• Opportunity to collaborate with cross-functional teams and support knowledge sharing.