Especialista em Dados e Transformação Digital I

Accountabilities: The Data and Digital Transformation Specialist will be responsible for designing, evolving, and ensuring the quality of data ecosystems that support business intelligence, automation, and AI initiatives. The role requires strong technical ownership, collaboration with multidisciplinary teams, and the ability to translate data capabilities into business value.

Structure and automate data update workflows for market intelligence databases, defining technical assumptions and documenting processes.

Continuously evaluate the efficiency, quality, and reliability of external data sources and monitoring platforms.

Develop and maintain data architecture, including BigQuery environments, semantic layers, taxonomy standardization, and API integrations.

Support the evolution of self-service data products and Artificial Intelligence solutions through scalable and well-structured data foundations.

Monitor data behavior from a business perspective, identifying anomalies, trends, and opportunities proactively.

Act as a technical point of reference for Generative AI adoption, automation initiatives, and programming practices.

Establish best practices, organize prompt repositories, and enable teams to build their own operational solutions.

Promote data-driven decision-making by improving accessibility, reliability, and analytical capabilities across the organization.

Requirements:

The ideal candidate is a data professional with strong technical knowledge, a passion for innovation, and the ability to combine engineering practices with business needs. Experience with cloud data platforms, automation, BI solutions, and AI applications is essential.

Advanced SQL skills and solid experience working with Google Cloud Platform (GCP) and BigQuery.

Practical knowledge of Generative AI applications, including prompt engineering and API integrations.

Experience developing and modeling data solutions for BI platforms such as Looker Studio, Power BI, or similar tools.

Experience automating processes using Python, Apps Script, or equivalent productivity solutions.

Strong ownership mindset and commitment to data quality, reliability, and governance.

Ability to communicate technical concepts clearly and share knowledge with teams.

Collaborative profile with a willingness to mentor and enable others through technical knowledge sharing.

Curiosity and agility to learn new technologies, tools, and AI capabilities.

Ability to work in a challenging, autonomous, and innovation-focused environment.

Benefits:

Remote work model with support for a productive home office setup.

Comprehensive medical and dental plans.

Medication assistance and family health support programs.

Free psychotherapy sessions, telemedicine, and medical second opinions.

Wellness programs, including access to gyms and physical activity platforms.

Meal and food benefits, including meal allowance and holiday food allowance.

Extended parental leave programs and family support benefits.

Childcare assistance, educational support, and school material assistance.

Life insurance and private pension plan options.

Birthday day off and employee discounts on products.

Access to partnerships, courses, travel programs, and professional development opportunities.

Support for transportation and mobility needs when applicable.

Opportunities to work with innovative technologies, AI solutions, and large-scale digital transformation initiatives.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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