Do you believe that technology can revolutionize quality management?

Would you like to be part of projects that drive quality through digital innovation?

Role Summary:

As a Quality Specialist – Data Management, you will be responsible for designing and implementing data solutions that empower the Quality Hub, an interconnected ecosystem of tools focused on quality management. Your challenge will be to ensure reliable, scalable, and high-quality data pipelines and models that support analytics, dashboards, Power Apps, and future AI applications. Working closely with the Quality Specialist – Digital Tools and other stakeholders, you will contribute to transforming quality processes through data-driven innovation, generating real impact on operations and business decisions.

In this position, you will be responsible for:

• Data Engineering: Develop automated processes to acquire and consolidate data from ERP (Oracle), quality systems, and internal tools; build efficient ETL/ELT pipelines and data models; and ensure data integrity and governance to enable analytics, AI readiness, and process improvement opportunities.

• Data Strategy and Architecture: Define and maintain the overall data architecture strategy for the Quality Hub, ensuring alignment with business priorities and enabling scalability, integration, and readiness for advanced analytics and AI solutions

• Systems Integration: Ensure connectivity between different tools in the quality ecosystem, promoting automation and efficiency.

• Interface with Stakeholders: Work together with quality, IT, engineering and other areas teams to understand needs, define requirements and prioritize projects.

• Development and Customization: Work on the evolution of existing tools and the specification of new digital solutions.

• Change Management: Promote the adoption of digital tools, offering training and support for users.

• Monitoring and Continuous Improvement: Monitor performance indicators of the tools and implement improvements to increase efficiency and usability.

Qualifications/Requirements:

· Bachelor’s degree in computer science, Data Engineering, Information Systems, or related fields.

· Experience in data engineering, ETL/ELT development, and data modeling.

· Proficiency in SQL and Python; familiarity with big data tools and cloud platforms.

· Knowledge of data governance and quality frameworks.

· Experience integrating ERP systems (Oracle) and industrial software.

· Familiarity with BI tools (Power BI), automation platforms (Power Automate) and low code apps (Power App)

· Understanding of machine learning workflows and AI readiness.

· Advanced English for global communication.

Desired Characteristics:

· Analytical and detail-oriented profile.

· Ability to design scalable and efficient data architectures.

· Clear and effective communication to deal with multidisciplinary teams.

· Proactivity and self-management ability to handle multiple projects simultaneously.

· Creativity to propose innovative solutions within the digital quality ecosystem.