Job Summary: We are seeking a Senior Data Engineer to lead the technological strategy, structure the data and automation area to transform code into scalable and reliable products, supporting business decisions in renewable energy. Key Highlights: 1. Lead the technological and data strategy for renewable energy. 2. Structure the data and automation area, transforming code into products. 3. Define end-to-end data architecture and lead the technology team. **Description:** ---------------- We are looking for a **Senior Data Engineer (PJ model)** to lead the company’s technological strategy, structuring the data and automation area to transform code into scalable, reliable, and results-oriented products, directly supporting strategic business decisions in renewable energy. **Key Responsibilities:** **Automation & Operational Efficiency:** * Define and lead the automation strategy (RPA and AI); * Develop and supervise automations in Python; * Create reusable frameworks and performance KPIs; * Ensure reliability, observability, and scalability. **Data Architecture & Engineering:** * Define end-to-end data architecture (ingestion, transformation, storage, and consumption); * Define technology stack and engineering standards; * Build and scale ETL/ELT pipelines; * Make build vs. buy decisions. **Governance & Security:** * Serve as the ultimate owner of data and systems governance; * Define the “single source of truth”; * Ensure data quality, traceability, and documentation; * Define security, access, backup, and continuity policies; * Support audits and regulatory requirements (LGPD); **Business & Data Products:** * Translate business needs into technical solutions; * Create and maintain analytical products; * Support executive leadership with reliable data; **Leadership & Team:** * Structure and lead the technology and data team; * Define roles, seniority levels, and roadmap; * Foster a culture of technical excellence and ownership; **Scope of the Role:** * Architecture and technology stack; * Information security; * Infrastructure and technology costs; * Integrations, vendors, and SaaS; * Technical roadmap and technical debt prioritization. **Requirements:** ----------------- **Hard Skills:** * Senior technical leadership; * Python, SQL, data modeling; * ETL/ELT, Data Lake/Warehouse; * Distributed architecture/Cloud management; * CI/CD, version control, and observability; * Practical use of AI for productivity; * APIs and integrations; * DevSecOps practices. **Soft Skills:** * Builder mindset; * Strong business acumen; * Executive communication; * Decision-making ability; * Ownership mindset; * Mature leadership. **If you identify with this challenge, please submit your resume to participate in the selection process.**