Data Engineer

At DIGITALL we dont just deliver technology we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries. We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate should have extensive experience in Azure Databricks, Data Lakehouse concepts, Python, SQL, and a strong background in working with various data sources and platforms. This is your job: Azure Databricks: Design, develop, and maintain data pipelines using Azure Databricks. Optimize and tune Spark jobs for performance and scalability. Implement Spark DataFrames and Pandas DataFrames for efficient data processing. Data Lakehouse Concept: Implement and manage data lakehouse concepts for effective data storage and processing. Work with Delta Tables and Delta Live Tables to maintain versioned and transactional data. Azu