Data Engineering Lead

Description

Job Summary: Data Engineering Lead to guide and develop the team, build and evolve the data platform, and support multiple business areas—serving as both a technical and managerial reference. Key Highlights: 1. Lead and develop the Data Engineering team 2. Define and evolve the data architecture with a focus on scalability 3. Collaborate closely with Data Analytics, Data Science, and Product We are Qeevo, an Aspiration Tech ecosystem connecting education, personal development, and real-world consumption. Our products impact millions of people annually, helping students discover affordable educational opportunities and unlocking pathways for continuous development. We are seeking a Data Engineering Lead to guide the team responsible for building and evolving our data platform. This leadership role is critical to ensuring scale, reliability, and quality across our data ecosystem—supporting Product, Growth, BI, Analytics, Machine Learning, and operations. You will operate hands-on when needed, but primarily serve as a technical and managerial reference—helping the team deliver excellence aligned with the company’s strategic goals. **RESPONSIBILITIES** * Lead, develop, and support the Data Engineering team—fostering technical growth and autonomy. * Define and evolve the data architecture (lake/warehouse/lakehouse), with emphasis on scalability, performance, and cost-efficiency. * Ensure robust pipeline development and maintenance for data ingestion, transformation, and delivery (batch and streaming). * Standardize engineering best practices: version control, testing, observability, documentation, SLAs/SLOs, CI/CD, and governance. * Collaborate closely with Data Analytics, Data Science, and Product teams to ensure data is reliable and actionable. * Participate in roadmap definition, demand prioritization, and team capacity planning. * Ensure compliance with LGPD and internal data security policies. * Identify and lead continuous improvement initiatives across processes, tools, and data culture. **REQUIREMENTS** * Solid experience in Data Engineering, working with production-grade data pipelines and platforms. * Experience leading technical teams—formally or as a strong technical reference. * Proficiency in SQL and Python. * Knowledge of IaC (Terraform). * Experience using Airflow for orchestration. * Practical knowledge of data modeling (dimensional, relational, or lakehouse). * Experience with AWS cloud environments and data services (e.g., Databricks). * Familiarity with data quality practices, monitoring, and observability. * Experience with visualization tools (Metabase, Power BI, Superset). * Understanding of lakehouse architectures. **BENEFITS:** * Health insurance (Bradesco, Policlin, or Santa Casa) * Dental plan (Uniodonto) * On-site cafeteria at Quero with delicious lunch * Education Support: Waiver of pre-enrollment fee for Quero Bolsa courses; 100% tuition discount for UFBRA’s online undergraduate programs; free access to the Allevo platform for professional development. * PLR (Profit Sharing Program) based on individual and company goals * Psychotherapy support * Birthday day off * Wellhub * Extended maternity leave * Extended paternity leave