101 to 125 of 200 PySpark Jobs in the UK

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 ...

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 ...

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 ...

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 ...

Experience Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing. Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions ...

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 ...

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 ...

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 ...

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 ...

efficient deployments and robust system performance. Working within Azure, you'll integrate advanced analytics platforms like Databricks and build data pipelines using Python and PySpark to support large-scale processing. The position also involves optimising data models, delivering insights through Power BI, and managing relational data with SQL. Collaboration ...

agentic capabilities, able to build production-grade applications not just prototypes. Strong proficiency in at least one relevant programming language such as Python or PySpark, Java, Typescript or SQL. Solid understanding of data engineering, data modelling, security and governance in enterprise settings. Experience with software engineering best practices including ...

agentic capabilities, able to build production-grade applications not just prototypes. Strong proficiency in at least one relevant programming language such as Python or PySpark, Java, Typescript or SQL. Solid understanding of data engineering, data modelling, security and governance in enterprise settings. Experience with software engineering best practices including ...

/Data Engineering role Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory Desirable: Exposure ML/Machine Learning/AI/Artificial Intelligence ...