Junior Data Engineer (AI)

TL;DR

Junior Data Engineer (AI): Designing and building data pipelines that support data science projects, following software engineering best practices with an accent on acquiring, ingesting, and transforming large datasets. Focus on preparing data for advanced analytics models and managing data environments in cloud and on-premises.

Location: Sao Paulo, Brazil

Company

hirify.global, AI by McKinsey, is a division of McKinsey focused on harnessing data to deliver real-world impact for organizations globally.

What you will do

• Design and build data pipelines that support data science projects.
• Acquire, ingest, and transform large datasets using modern technologies.
• Map data fields to hypotheses and prepare data for advanced analytics models.
• Support the creation and management of data environments in Cloud and on-premises.
• Collaborate with interdisciplinary teams globally on agile marketing, personalization, and digital transformation initiatives.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field (graduated between June 2023 and December 2025).
• Foundational knowledge in software engineering, Agile methodologies, and Cloud computing.
• Programming skills in at least two of SQL, Python, Scala, or Java.
• Good knowledge of relational databases such as PostgreSQL and MySQL.
• Basic understanding of big data platforms and tools, including the Hadoop ecosystem, Spark, and Kafka.
• Strong collaboration skills and ability to communicate clearly with diverse teams.
• Ability to communicate effectively in English and Portuguese.

Culture & Benefits

• Continuous learning and apprenticeship culture backed by structured programs and clear, actionable feedback.
• Opportunity to contribute innovative ideas and practical solutions from day one.
• Global community with colleagues across 65+ countries and over 100 different nationalities.
• Competitive salary and a comprehensive benefits package for holistic well-being.