1 to 25 of 59 Batch Processing Jobs in the South East

join wider cross-functional teams. You’ll have some experience building distributed systems both on-prem and in public cloud, CI/CD pipelines, batch compute tooling and developer productivity tooling. You will be excited and committed to providing an excellent developer experience, with a constant eye on continuous … Software Engineering teams, as well as providing the mechanism for discovering and consuming shared components. Including but not limited to: K8s configuration and usability, batch processing and HPC interactions and hybrid cloud deployments Stay informed on open source and 3rd party tooling that we should consider adopting rather … Exposure to the following would be beneficial: Developer portals and software catalogues Infrastructure-as-code tools such as Ansible or Terraform Experience in using batch compute frameworks, HPC tooling Company Description For almost 50 years, Williams Racing has been at the forefront of one of the fastest sports on More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of More ❯

help us achieve these goals. Key Responsibilities: Architect and design reference architectures and applications for various cloud hosting patterns (e.g., message-driven, web applications, batch processing). Mentor and guide other engineers, fostering continuous learning and improvement. Develop flexible and customizable solutions for advanced users. Enable rapid provisioning More ❯

efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs through the engineering of clean, reliable data sources and APIs. Security Engineering & Governance Partner with security More ❯

efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs through the engineering of clean, reliable data sources and APIs. Security Engineering & Governance Partner with security More ❯

efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs through the engineering of clean, reliable data sources and APIs. Security Engineering & Governance Partner with security More ❯

efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs through the engineering of clean, reliable data sources and APIs. Security Engineering & Governance Partner with security More ❯

efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs through the engineering of clean, reliable data sources and APIs. Security Engineering & Governance Partner with security More ❯

efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs through the engineering of clean, reliable data sources and APIs. Security Engineering & Governance Partner with security More ❯

efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs through the engineering of clean, reliable data sources and APIs. Security Engineering & Governance Partner with security More ❯

efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs through the engineering of clean, reliable data sources and APIs. Security Engineering & Governance Partner with security More ❯

efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs through the engineering of clean, reliable data sources and APIs. Security Engineering & Governance Partner with security More ❯