Leega is a company focused on delivering efficient and innovative service to its clients. This could not be any different with our primary fuel: people! Our culture is inspiring, and our values are present in everyday life: ethics and transparency, quality excellence, teamwork, economic, social and environmental responsibility, human relationships, and credibility. We seek innovative professionals who are driven by challenges and focused on results. If you are looking for a dynamic and collaborative company that invests in its employees through continuous training, Leega is the place for you! **\>\> LEEGA IS FOR EVERYONE — we would be thrilled to welcome you to our team. Join us in writing our story and building our future.** Apply now to our open positions! **Responsibilities and duties** **About the opportunity** ------------------------ We are seeking a Senior Data Engineer to technically lead the evolution of our data platform. This person will be responsible for designing scalable architectures, guiding the team, and ensuring the delivery of robust cloud-based solutions. We seek someone with strategic vision, strong problem-solving skills, and hands-on experience in modern data environments—especially with GCP and Databricks. **Responsibilities** --------------------- * Lead the design and evolution of data architecture (Data Lake, Data Warehouse, Lakehouse) * Design, develop, and optimize high-scale data pipelines (ETL/ELT) * Serve as the technical reference for the data engineering team * Work with distributed processing using Databricks (Spark/PySpark) * Define best practices for development, testing, and deployment (DataOps) * Ensure data governance, quality, security, and reliability * Optimize performance and costs in GCP environments * Integrate multiple data sources (batch and streaming) * Support BI, Analytics, and Data Science teams in data provisioning * Participate in strategic decisions related to data and technology **Requirements and qualifications** **Mandatory requirements** --------------------------- **Expertise across multiple projects and leadership of technical teams.** ------------------------------------------------------------------- * **Minimum 5 years of experience as a Data Engineer** * Solid experience with Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Pub/Sub) * Advanced experience with Databricks and Apache Spark (PySpark) * Proficiency in Python and SQL * Experience with data modeling (relational, dimensional, and Lakehouse) * Experience with pipeline orchestration (Airflow/Cloud Composer or similar) * Hands-on experience with code versioning and CI/CD practices * Experience with large-scale data environments **Desired requirements** ------------------------- * Experience with Delta Lake and Lakehouse architecture * Knowledge of infrastructure-as-code (Terraform) * Experience with Docker/Kubernetes * Knowledge of data streaming (Kafka, Pub/Sub) * Certifications (GCP Professional Data Engineer, Databricks) * Experience with observability and monitoring tools **Differentiators** ---------------- * Experience leading technical teams or data projects * Strong communication skills with business areas * Knowledge of data governance, LGPD, and information security * Experience with BI tools (Looker, Power BI, Tableau) * Advanced English proficiency **Mandatory requirements** --------------------------- * **Minimum 5 years of experience as a Data Engineer** * Practical experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow or similar) * Experience with Databricks and distributed processing using Spark * Proficiency in Python and SQL * Experience with data modeling (relational and dimensional) * Hands-on experience with pipeline orchestration (Airflow or similar) * Knowledge of code versioning (Git) **Desired requirements** ------------------------- * Experience with Delta Lake * Knowledge of infrastructure-as-code (Terraform) * Experience with Docker * Knowledge of data streaming (Kafka, Pub/Sub) * Certifications in GCP or Databricks **Differentiators** ---------------- * Experience with Lakehouse architecture * Knowledge of BI tools (Power BI, Looker, Tableau) * Familiarity with data governance and LGPD * Intermediate or advanced English proficiency **Additional information** **100% Remote** At Leega, we do not deliver just lines of code or dashboards. We transform complex technological challenges into real impact. With over 15 years of experience, we combine the depth of human expertise with the speed of Artificial Intelligence to build solutions that transform businesses—and, above all, improve people’s lives. We are a technology consultancy—agnostic and strategic. With offices in Brazil and Europe, our team of more than 580 multidisciplinary talents lives and breathes the Data Analytics, Cloud, and AI ecosystem. We master the full foundation—from Governance to Engineering—to ensure technology is not merely a tool, but a sustainable competitive advantage for the market’s top players.
João Silva
Indeed · HR
João Silva
Indeed · HR
