Transform your career in a dynamic and innovative environment where you can learn, grow, and thrive. We are looking for an experienced professional to join our team as a Data Engineer. In this role, you will have the opportunity to work with cutting-edge technologies such as Azure Data Bricks, Azure Data Factory, and Azure Data Services. You will be responsible for designing, developing, and maintaining scalable ETL/ELT pipelines using Azure Data Services. Additionally, you will build high-performance data processing solutions with Apache Spark (PySpark) on Azure Databricks. The ideal candidate will have experience with columnar and table formats (Parquet, Delta, Hudi, Iceberg). They will also be skilled in the use of Data Quality tools (Great Expectations, Soda) and have knowledge of Step Functions, EventBridge, or Kinesis. Soft skills such as good communication and teamwork, proactivity in problem-solving, and ability to handle agile environments and rapid changes are essential. As a Data Engineer, you will collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver clean, reliable datasets. You will also optimize data workflows/pipelines for performance and cost efficiency in a cloud environment. Furthermore, you will implement best practices around data security, governance, and compliance. This includes developing CI/CD pipelines for data engineering workflows, monitoring, troubleshooting, and enhancing existing data solutions for reliability and performance. Finally, you will document design patterns, best practices, and operational procedures. What do we offer?