Senior Data Engineering Analyst | Python & PySpark

Description

Job Summary: Avanade is seeking a Senior Data Engineering Analyst to develop, analyze, and maintain data solutions in strategic technology and digital transformation projects. Key Highlights: 1. Work on strategic technology and data projects 2. Collaborative, diverse, and results-oriented team 3. Incentives for professional growth and continuous development Job Description Avanade is looking for a **Senior Data Engineering Analyst** to work on strategic technology and data projects, supporting clients in their digital transformation challenges. This position directly contributes to the development, analysis, and maintenance of data solutions, ensuring quality, scalability, and alignment with business needs—with a continuous focus on innovation and value creation. At Avanade, you will join a collaborative, diverse, and results-oriented team, working on impactful and relevant projects for our clients. We value continuous learning, career development, and an environment where diverse perspectives drive better solutions. Here, you will have the opportunity to work on challenging projects with high complexity and real business impact for our clients, alongside an environment that encourages professional growth and continuous evolution. **Together we do what matters.** **Learn more about some of our benefits:** * Meal or food allowance; * Multibenefit Card (up to Senior Consultant level); * Medical and dental insurance; * Certifications and training; * Life insurance; * Private pension plan; * Avababy: pregnancy support and welcome kit for new Avanade parents; * Company profit-sharing program; * Wellhub; * Childcare assistance; * Career Advisor \- Career mentoring; * Birthday Off policy; * Well-being sessions; * For managerial or higher-level roles \- Corporate vehicle, parking, and fuel allowance. **Responsibilities:** * Develop and maintain data solutions using **Python** and **PySpark**. * Build, evolve, and maintain **ETL** processes, ensuring data quality, reliability, and consistency. * Perform **transactional and multidimensional data modeling**, supporting analytical and operational requirements. * Write, optimize, and maintain queries using **SQL**. * Contribute to defining and applying **software architecture** in data solutions. * Use **GitHub** for code versioning and team collaboration. * Plan, develop, and execute **tests**, ensuring delivery quality. * Collaborate closely with technical and business teams throughout the solution development lifecycle. Qualifications **Skills and Experience:** **Required:** * Solid experience in **Data Engineering**. * Proficiency in **Python** and **PySpark** for data processing. * Experience with **ETL processes**. * Knowledge of **transactional and multidimensional data modeling**. * Strong experience with **SQL**. * Hands-on experience with **version control using GitHub**. * Experience planning and executing **data and pipeline testing**. **Preferred:** * Experience in defining **data solution architectures**. * Certifications related to data, cloud, or software engineering. * Technical English for reading and communication in global projects.