10+ years' experience in Data Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions. Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data More ❯
10+ years' experience in Data Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions. Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data More ❯
10+ years' experience in Data Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions. Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data More ❯
you will have: Proven leadership experience within data engineering or data consultancy. Hands-on experience with Microsoft Fabric, Azure Synapse, Data Factory and Databricks. Strong SQL and Python/PySpark skills. Experience designing data lakes, warehouses and scalable data models for BI tools like Power BI. Solid understanding of data architecture and optimisation techniques for large-scale solutions. Some More ❯
you will have: Proven leadership experience within data engineering or data consultancy. Hands-on experience with Microsoft Fabric, Azure Synapse, Data Factory and Databricks. Strong SQL and Python/PySpark skills. Experience designing data lakes, warehouses and scalable data models for BI tools like Power BI. Solid understanding of data architecture and optimisation techniques for large-scale solutions. Some More ❯
you will have: Proven leadership experience within data engineering or data consultancy. Hands-on experience with Microsoft Fabric, Azure Synapse, Data Factory and Databricks. Strong SQL and Python/PySpark skills. Experience designing data lakes, warehouses and scalable data models for BI tools like Power BI. Solid understanding of data architecture and optimisation techniques for large-scale solutions. Some More ❯
