TL;DR

Lead Data Engineer (Data Science/ML): Lead and manage data engineering projects delivering modern data architecture and end-to-end data solutions with an accent on building scalable data pipelines, data governance, and collaboration with data scientists. Focus on designing technical solutions, leading teams, and ensuring data security and quality in complex distributed systems.

Location: Must be based in Brazil

Company

%hirify_global% is a leading technology consultancy with 30+ years of experience delivering impactful solutions by solving complex business problems through technology.

What you will do

Lead and manage data engineering projects from inception to completion ensuring on-time delivery and cross-team collaboration.
Collaborate with stakeholders to align data strategies with business objectives and improve data quality.
Design, develop, and operate modern data architectures and intricate data processing pipelines.
Work with data scientists to implement scalable models and write clean, test-driven code.
Advise clients on distributed storage and computing technologies and develop data models using appropriate technologies.
Ensure data governance, security, privacy, and incorporate data quality strategies.

Requirements

Advanced English proficiency required.
Must be based in Brazil.
Experience with GCP and modern data engineering tools.
Proven leadership in system design and technical solution implementation.
Strong background in big data architecture, distributed systems, and data modeling.
Experience with data security, privacy, and various database types (SQL, NoSQL, data lakes).

Culture & Benefits

Flexible career development supported by interactive tools and development programs.
Collaborative and supportive team culture focused on continuous learning and growth.