7 of 7 Remote Spark SQL Jobs in the UK excluding London

Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator, able to explain technical More ❯

and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior experience More ❯

and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior experience More ❯

and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior experience More ❯

and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior experience More ❯

and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior experience More ❯

and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior experience More ❯