14 of 14 Remote PySpark Jobs in the North of England

Enhanced Maternity & Paternity Charity Volunteer Days Cycle to work scheme And More.. DATA ENGINEER – ESSTENTIAL SKILLS Proven experience building data pipelines using Databricks . Strong understanding of Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake/Delta Live Tables and the Medallion More ❯

assurance, modeling, and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior More ❯

assurance, modeling, and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior More ❯

assurance, modeling, and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior More ❯

assurance, modeling, and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior More ❯

assurance, modeling, and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior More ❯

assurance, modeling, and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready pipelines. Deep hands-on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior More ❯

within a cross-functional environment. Experience in line management or team leadership, with a track record of developing and supporting engineers. AWS (Lambda, Glue, ECS, S3, etc.) Python and PySpark (data pipelines, APIs, automation) TypeScript and React (frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection More ❯

within a cross-functional environment. Experience in line management or team leadership, with a track record of developing and supporting engineers. AWS?(Lambda, Glue, ECS, S3, etc.) Python and PySpark?(data pipelines, APIs, automation) TypeScript and React?(frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection More ❯

Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯

Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯

Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯

Your new company This is a pivotal opportunity to join the Data and Innovation division of a large complex organisation leading the delivery of SAM (Supervisory Analytics and Metrics)-a transformative programme enhancing supervisory decision-making through advanced data and More ❯

Your new company This is a pivotal opportunity to join the Data and Innovation division of a large complex organisation leading the delivery of SAM (Supervisory Analytics and Metrics)-a transformative programme enhancing supervisory decision-making through advanced data and More ❯