Data Engineer

Description

Summary: Excelia is seeking an experienced Data Engineer to design, implement, and maintain scalable data pipelines and optimize database structures for high data quality and performance. Highlights: 1. Design and maintain scalable data pipelines and ETL/ELT processes 2. Develop and optimize database structures, ensuring high data quality 3. Support and evolve data warehouse and reporting environments (Snowflake, Qlik) Excelia is a multinational company in Consulting, Technology, and Professional Services with over 25 years of experience. We provide services in more than 50 countries across Europe, Latin America, and the United States, through our 10 own offices. Do you have experience as a Data Engineer and are you looking for a new challenge? Then this opportunity is for you! **Position:** Data Engineer **Location:** Venda do Pinheiro Main responsibilities: * Design, implement, and maintain scalable data pipelines, ETL/ELT processes, and integrations across multiple systems; * Develop, optimize, and maintain database structures, ensuring high data quality, performance, and availability; * Work with business stakeholders and analysts to understand data needs and translate them into technical solutions; * Support and evolve our data warehouse and reporting environments, particularly in Snowflake and Qlik; * Ensure data consistency, accuracy, and integrity across systems and projects; * Contribute to improving existing data flows, storage strategies, and analytical frameworks; * Collaborate closely with data analysts, software developers, and other IT professionals in an agile environment. Mandatory requirements: * Strong experience with relational databases, particularly PostgreSQL (advanced SQL, performance tuning, schema design); * Solid experience with Snowflake (data modeling, ELT patterns, performance optimization); * Experience with Qlik (Qlik Sense or QlikView) for data modeling, dashboards, and reporting; * Familiarity with data engineering concepts such as ETL/ELT pipelines, data lakes, and data warehouses; * Experience with scripting or general\-purpose languages (e.g., Python or Java is a plus); * Comfortable working in Linux\-based environments; * Understanding of data governance, data quality, and metadata management; * Strong data analysis skills and the ability to translate data into actionable insights; * Excellent debugging, troubleshooting, and optimization skills; * Good time management skills; * Strong sense of ownership and pride in your work and its impact on business success; * Team player with strong communication and collaboration skills; * Customer/User\-centric mindset; * English: Fluent If you believe you are a good fit, don’t hesitate to apply for this opportunity