1 to 25 of 46 Batch Processing Jobs in the North of England

working closely with squad members and stakeholders. Handle data in multiple formats (structured, semi-structured, and unstructured) and manage data at various latencies – from batch processing to real-time streaming. Collaborate cross-functionally across the business to enable self-service analytics and innovation through well-organised and accessible … architectures (e.g., data lakes, data vaults, data warehouses). Experience in working with Agile frameworks such as Scrum, Kanban, Lean. Experience with distributed data processing platforms such as Databricks. Understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.) Version control and best practices using 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 ❯

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 ❯

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 ❯