12 of 12 Spark SQL Jobs in the UK excluding London

platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure … Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources … practices. Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage More ❯

platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure … Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources … practices. Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage More ❯

platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure … Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources … practices. Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage More ❯

a business cultivating a robust in-house team, this role could be the next step for you. Data Engineer Responsibilities: Design, build, and optimise data pipelines in Python, PySpark, SparkSQL, and Databricks. Ingest, transform, and enrich structured, semi structured, and unstructured data. Operate and support production grade data systems with strong observability and monitoring. Enable real time and batch data More ❯

a business cultivating a robust in-house team, this role could be the next step for you. Data Engineer Responsibilities: Design, build, and optimise data pipelines in Python, PySpark, SparkSQL, and Databricks. Ingest, transform, and enrich structured, semi structured, and unstructured data. Operate and support production grade data systems with strong observability and monitoring. Enable real time and batch data More ❯

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 ❯