1 to 25 of 38 Permanent PySpark Jobs in the South East

with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ...

with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ...

with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ...

with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ...

with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ...

with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ...

overview of many different sectors. What We're Looking For 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience ...

overview of many different sectors. What We're Looking For 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience ...

overview of many different sectors. What We're Looking For 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience ...

overview of many different sectors. What We're Looking For 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience ...

overview of many different sectors. What We're Looking For 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience ...

Fabric. Migrate on-prem data to Fabric Lakehouse/Warehouse, enabling Power BI analytics. Develop robust data pipelines, notebooks, and data models using: Python, PySpark, SQL, Synapse, and Data Warehousing principles. Implement CI/CD processes with GitHub integration for lifecycle management. Ensure governance, security, and best practices across ...

Methodology or other similar dimensional modelling standards, is essential to the role. Technical experience building and deploying models and reports utilizing the following tools: PySpark Microsoft Fabric or Databricks Power BI Git CI/CD pipelines (Azure DevOps experience preferred) An understanding of the structure and purpose ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

manage Ontology Objects, Links, and Actions to support downstream applications and workflows. Pipeline Development & Automation: Build scalable, fault-tolerant ETL/ELT pipelines using PySpark, SQL, and Foundry's proprietary tools like Pipeline Builder and Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions ...

manage Ontology Objects, Links, and Actions to support downstream applications and workflows. Pipeline Development & Automation: Build scalable, fault-tolerant ETL/ELT pipelines using PySpark, SQL, and Foundry's proprietary tools like Pipeline Builder and Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions ...

manage Ontology Objects, Links, and Actions to support downstream applications and workflows. Pipeline Development & Automation: Build scalable, fault-tolerant ETL/ELT pipelines using PySpark, SQL, and Foundry's proprietary tools like Pipeline Builder and Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions ...

manage Ontology Objects, Links, and Actions to support downstream applications and workflows. Pipeline Development & Automation: Build scalable, fault-tolerant ETL/ELT pipelines using PySpark, SQL, and Foundry's proprietary tools like Pipeline Builder and Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions ...

manage Ontology Objects, Links, and Actions to support downstream applications and workflows. Pipeline Development & Automation: Build scalable, fault-tolerant ETL/ELT pipelines using PySpark, SQL, and Foundry's proprietary tools like Pipeline Builder and Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions ...

Continuously improve data systems and maintain awareness of best practice and emerging approaches Essential Skills Experience with large-scale analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage ...