Job Summary: We are seeking a Data Engineering Specialist passionate about data and technology to scale with us, leading the construction and evolution of our data architecture. Key Highlights: 1. Lead the technical design of scalable and resilient data architecture. 2. Act as a technical bridge between Software Engineering, Product, BI, and AI. 3. Provide technical mentorship and promote a culture of engineering excellence. We are looking for a **Data Engineering Specialist** to scale with us! We are a technology company that empowers major brands in essential services to shape the future of digital acquisition. How? Through technology, data intelligence, and a team passionate about challenges—constantly striving to become their best selves. For this role, we seek someone passionate about people, data, and technology to join our Products team—a group of extraordinary **Escalers** (how we refer to our team members) with unique expertise! \<3 **\#JoinTheEscalation: come discover what we expect from you** **Responsibilities:** * Lead the technical construction and evolution of data architecture, ensuring scalability, resilience, and efficiency; * Design and implement complex data pipelines (ETL/ELT) to integrate diverse sources into our ecosystem; * Establish technical governance, defining modeling standards, taxonomy, and ensuring data quality and consistency across the entire data lifecycle; * Serve as a top-tier technical bridge between Software Engineering, Product, BI, and AI; * Ensure high performance for large-scale data volumes by optimizing queries and storage in Data Warehouse/Data Lake; * Implement engineering best practices (CI/CD, data testing, version control) across the data stack; * Define security and compliance (LGPD) guidelines for data processing and storage layers; * Act as a technical mentor, elevating the team’s knowledge bar and fostering a culture of engineering excellence. Requirements: **Mandatory** * Experience as a Data Engineering or Analytics Engineering Specialist or Staff member; * Proficiency in programming languages oriented toward data (Python, Scala, or Java); * Advanced SQL experience (optimizing complex queries and database architecture); * Hands-on experience with modern data stack tools (e.g., Airflow, dbt, Snowflake, BigQuery, Databricks, or Spark); * Experience with cloud architecture (AWS, GCP, or Azure), specifically data-related services; * Experience in data modeling (Dimensional, Data Vault) for high-scale products. **Preferred** * Experience in fast-growing digital product environments; * Knowledge of AI/Machine Learning Ops (MLOps) for model deployment; * Experience building Data Mesh or Data Governance frameworks from scratch; * Strategic thinking: ability to translate business challenges into technical data solutions; * Strong ownership mindset and ability to influence architectural decisions among stakeholders; * Continuous learning mindset and commitment to constant experimentation.