Senior Data Engineer

Description

Job Summary: Leega is seeking a Senior Data Engineer to build, optimize, and maintain scalable data pipelines, ensuring quality and efficiency in data processing. Key Highlights: 1. Construction and optimization of scalable data pipelines 2. Essential role in integrating and transforming reliable data 3. Inspiring culture and investment in continuous training Leega is a company focused on delivering efficient and innovative service to its clients. This principle applies equally to our most vital asset: people! Our culture is inspiring, and our values are embedded in daily operations: ethics and transparency, quality excellence, teamwork, economic, social and environmental responsibility, human relationships, and credibility. We seek innovative professionals driven by challenges and focused on results. If you’re looking for a dynamic, collaborative company that invests in its employees through continuous training, Leega is the place for you! **\>\> LEEGA IS FOR EVERYONE**** — we’d be thrilled to welcome you to our team. Join us in shaping our history and building our future.** Apply now to our open positions! **Responsibilities and Duties** We are seeking a **Senior Data Engineer** to design, optimize, and maintain scalable data pipelines, ensuring data quality, governance, and efficiency in data processing and storage. This person will play an essential role in integrating, transforming, and delivering reliable data for Analytics, BI, Data Science, and AI initiatives. **Responsibilities** * Develop and optimize scalable batch and streaming data pipelines * Build ETL/ELT jobs for data processing and transformation * Develop ingestion of structured, semi-structured, and unstructured data * Perform data modeling and consolidation for Analytics and BI * Develop real-time (streaming) data integrations * Design and implement efficient, scalable data architectures * Implement business rules within data transformations * Create and maintain Data Quality and Data Governance processes * Ensure data versioning, lineage, and reliability * Serve as technical reference for the Data & Analytics team **Mandatory Requirements** * Solid experience in Data Engineering * Experience building ETL/ELT pipelines * Advanced SQL knowledge * Experience with Python for data engineering * Experience with Google Cloud Platform (GCP) * Hands-on experience with BigQuery * Experience with Dataflow, Pub/Sub, and Cloud Storage * Experience with orchestration tools (Airflow or Cloud Composer) * Experience with data modeling * Knowledge of Data Lake and Data Warehouse architectures * Experience integrating multiple data sources **Technical Requirements** * Languages: Python and SQL * Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) * Orchestration: Apache Airflow / Cloud Composer * Engineering: ETL/ELT pipelines * Databases: BigQuery, PostgreSQL, Snowflake, or Redshift * Governance: Data lineage, access control, and data quality **Requirements and Qualifications — Nice-to-Haves** * Experience with data streaming (Kafka or Pub/Sub) * Experience with Terraform * Experience with CI/CD * Experience with Git-based version control * Knowledge of LGPD / Data Governance * Experience with Cloud Functions **Behavioral Profile** * Analytical and structured mindset * Strong ownership mentality * Effective communication with both technical and business teams * Ability to work autonomously * Strong organizational and prioritization skills * Collaboration with multidisciplinary teams * Technical leadership posture **Additional Information** **Work Model:** Hybrid, Faria Lima/SP **Days:** Tuesday, Wednesday, and Thursday. **Duration:** 6-Month Contract. At Leega, we don’t just deliver lines of code or dashboards. We transform complex technological challenges into tangible impact. With over 15 years of experience, we combine deep 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 consulting firm—agnostic and strategic—with offices in Brazil and Europe. Our team of over 580 multidisciplinary talents lives and breathes the Data Analytics, Cloud, and AI ecosystem. We master the full stack—from Governance to Engineering—to ensure technology is not just a tool, but a sustainable competitive advantage for the market’s top players.