Job Description At Avanade, we believe data is the heart of digital transformation. As a Data Engineer, you will play an essential role in creating innovative solutions that help our clients make strategic decisions based on reliable and intelligent information. This position is critical to driving projects that connect technology and business, ensuring every insight delivers real impact. Join a team that values collaboration, diversity, and innovation. Here, you’ll have the opportunity to grow, learn, and shape the future of technology. **Together we do what matters.** **Learn more about some of our benefits:** * Meal or food allowance; * Multibenefit Card up to Senior Consultant level; * Health and dental insurance; * Certifications and training; * Life insurance; * Private pension plan; * Avababy: pregnancy support program and welcome kit for new Avanade parents; * Company profit-sharing program; * Wellhub; * Childcare assistance; * Career Advisor – Career mentoring; * Birthday Off policy on your birthday and on birthdays of children up to age 12; * Well-being sessions; * For managerial or higher-level roles – Corporate vehicle, parking allowance, and fuel assistance. **Responsibilities:** * Translate business requirements into robust technical solutions; * Analyze current practices and identify opportunities for improvement; * Plan and implement data design services; * Design architectures for solution modernization and transformation; * Build modern data pipelines and data flows; * Develop and maintain data warehouse schemas and databases; * Expose data to end users via modern visualization platforms. Qualification **Skills and Experience:** **Required:** * Experience in data engineering and system integration; * Knowledge of tools such as Azure Data Factory, Databricks, SQL, Power BI; * Programming languages: Python, SQL; * Experience with cloud environments (preferably Azure); * Intermediate or advanced English; * Collaboration and clear communication; * Adaptability and curiosity to learn new technologies; * Analytical thinking and results-oriented mindset. **Preferred:** * Microsoft certifications (Azure Data Engineer, Azure Fundamentals); * Experience with Big Data, Data Lake, and distributed architectures; * Knowledge of DevOps and CI/CD practices.