1 to 25 of 123 Apache Spark Jobs in the UK

/ELT) to support analytics and downstream use cases Developing scalable data solutions using Python , with a focus on maintainability and performance Working with Apache Spark/PySpark to process and transform large datasets Supporting the ingestion, transformation and validation of complex financial data Improving the performance, reliability … That Will Help You Succeed Essential Commercial experience as a Data Engineer at a mid‐level Strong Python development skills Hands‐on experience with Apache Spark/PySpark Solid experience building ETL/ELT pipelines Background within the financial services industry (investment management experience desirable) Comfortable working with ...

urgently require a Data Platform Engineer with core strengths in Building and Operating Data Platforms, and hands on expertise in Azure Services, Synapse Spark Architecture, ADF and Terraform (IaC), to assist in designing and delivering complex cloud solutions. Key Requirements: Proven, hands-on experience of Building and Operating Data … Advanced knowledge of Azure Services Demonstrable experience with Azure Data Factory (ADF), including network configurations and integration runtime options Strong expertise in Synapse Analytics Spark, Azure Key Vault, and Data Lake Storage Accounts Ability to showcase DevOps and CI/CD capabilities Working knowledge of designing and deploying infrastructure ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/… Gold layers) • Integrate data from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data ...