Senior Data Engineering (AI)

Location: On-site at the hirify.global plant in Sumaré, São Paulo, Brazil, at least four days per week; up to 10% domestic and international travel.

Company

hirify.global develops innovative products and technologies across industrial, materials, engineering, and other business areas.

What you will do

• Provide technical leadership for collecting and integrating business-critical product development data.
• Build and modernize data pipelines, systems, and AI-ready data foundations.
• Define, develop, and deploy data solutions aligned with enterprise standards and strategies.
• Support product development improvement, analytics, machine learning, and strategic business growth.
• Collaborate with cross-divisional teams to translate business needs into technical solutions.
• Lead intellectual property creation and protection for innovative data solutions.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field.
• Experience in data engineering, system integration, data architecture, or related technical roles.
• Experience building data pipelines with SQL, Python, Spark, Databricks, Azure Data Factory, AWS Glue, Snowflake, or similar technologies.
• Experience integrating data across enterprise systems, APIs, databases, and cloud platforms, with knowledge of data modeling, ETL/ELT, data quality, and governance.
• Experience with Microsoft Azure, AWS, or Google Cloud and with preparing structured data for analytics, AI, or machine learning.
• Advanced English required.

Nice to have

• Experience in industrial, manufacturing, chemical, materials science, engineering, or product development environments.
• Familiarity with PLM, LIMS, MES, ERP, CRM, QMS, or engineering data platforms.
• Knowledge of AI/ML data requirements, feature engineering, vector databases, or knowledge graphs.
• Experience with master data management, metadata management, and data cataloging tools.
• Understanding of product development lifecycles, stage-gate models, experimentation, testing, and commercialization workflows.

Culture & Benefits

• Innovation-focused environment that encourages curiosity, creativity, and experimentation.
• Collaboration with diverse teams across global locations and business divisions.
• Programs supporting physical and financial well-being.
• Compensation and benefits benchmarked against comparable companies.
• Strong Environmental Health and Safety culture.

Hiring process

• Provide education and work history through a resume or the application fields.