Senior Data Engineer | ETL/ELT (Python/PySpark)

Description

Job Summary: As a Data Engineer, you will transform business requirements into robust technical solutions, driving innovation and results through cutting-edge technologies and data analytics. Key Highlights: 1. Transform business requirements into robust technical solutions 2. Work with cutting-edge technologies and make a difference 3. Develop data pipelines (ETL/ELT) and data architectures Job Description At Avanade, we believe data is the heart of digital transformation. As a Data Engineer, you will be a key player in helping our clients make strategic decisions based on reliable information and advanced insights. Your mission will be to transform business requirements into robust technical solutions, leveraging modern engineering practices and analytical methods to drive innovation and results. Join a team that values collaboration, continuous learning, and real-world impact. Here, you’ll have the opportunity to work with cutting-edge technologies, develop solutions that make a difference, and grow alongside professionals passionate about their work. **Together we do what matters.** In addition to an inclusive and innovative environment, we offer benefits that support you and your career: **Learn more about some of our benefits:** * Meal or food allowance * Multibenefit Card (up to Senior Consultant) * Health and dental insurance * Certifications and training * Life insurance * Private pension plan * **Avababy**: Pregnancy support and welcome kit for new parents * Company profit-sharing program * Wellhub * Daycare assistance * Career mentoring * **Birthday Off** policy (for you and children up to age 12) * Wellness sessions * For managerial roles: company vehicle, parking allowance, and fuel assistance **Responsibilities:** * Develop and maintain data pipelines (ETL/ELT) using Python and PySpark * Integrate data from multiple structured and unstructured sources * Create and optimize SQL queries and transactional and analytical data models * Participate in designing and evolving data and software architecture * Implement tests to ensure data quality, reliability, and performance * Use code versioning (GitHub) and sound engineering practices * Support automation of deployments and CI/CD pipelines * Monitor, maintain, and resolve incidents related to data infrastructure Qualification **Skills and Experience** **Required:** * Experience with Python, PySpark, and SQL * Knowledge of data architecture and integration across multiple sources * Familiarity with version control tools (GitHub) and CI/CD practices * Experience in cloud environments (Azure, AWS, or GCP) **Preferred:** * Azure Data Engineer certification or similar * Knowledge of Power BI or other visualization tools * Intermediate or advanced English proficiency **Behavioral Attributes:** * Collaborative mindset with a results-oriented approach * Strong analytical skills and attention to detail * Proactive attitude toward proposing improvements and innovative solutions