Data Engineer Databricks

We are looking for an experienced Databricks Expert / Senior Data Engineer to join our team and lead complex, high-impact Data projects on the Databricks platform. If you have strong hands-on experience with Databricks, Data Engineering, Spark and Python, and enjoy designing and building scalable Data solutions from architecture through production — we’d love to hear from you. What will you do? • Design, develop and implement advanced Data solutions on Databricks • Lead end-to-end Data projects, from requirements and architecture through Production • Develop scalable, high-performance ETL/ELT processes and Data Pipelines • Work with Python, PySpark, Apache Spark, SQL and Delta Lake • Integrate data from diverse enterprise systems and sources • Optimize performance, processing efficiency and costs • Work in Cloud environments such as Azure, AWS or GCP • Collaborate with Data, DevOps, BI and Architecture teams • Contribute to organizational Data architecture, standards and Best Practices What are we looking for? • 5+ years of proven experience with Databricks projects – mandatory • 5+ years of experience as a Data Engineer • Strong hands-on experience with Python • Proven experience developing on Databricks in Production environments • Strong experience with Apache Spark / PySpark • Experience developing ETL/ELT processes and Data Pipelines • Hands-on experience with Delta Lake and Lakehouse architecture • Advanced SQL skills • Experience working with Cloud platforms – Azure / AWS / GCP • Experience working with large-scale Data systems • Strong problem-solving skills and a system-wide perspective • Ability to work independently and take ownership