Nottingham, Nottinghamshire, East Midlands, United Kingdom Hybrid / WFH Options
Develop
Mainframe Scheduling Engineer £Negotiable 1 Year Contract Fully Remote Primary role will be to provide advance operational support and scheduling expertise for Mainframe Batchprocessing, including but not limited to Batch Job Failure Management Batch Job Processing Management Queue Management Ad-hoc processing request … Virtual Resource Management Batch Job Schedule Management Creating new schedules, delete redundant schedules. Release Code Management Support JCL Management Support Critical Path Monitoring Represent the team at technical/business meetings/events in a professional and assertive manner. Communicate and collaborate with Business & Operational Teams Mainframe Batch … Manage Mainframe Scheduling tools in line with Experian security, compliance, and policies, using standard tools, e.g. CyberArk, ServiceNow Potential on-call support (24x7x365) for Batch Workloads Skills: Required Skills Knowledge and experience with Mainframe systems CA7 CA11 Mainframe Operations in general - JCL, ISPF, JES2, z/OS Desirable skills more »
Glasgow, Lanarkshire, United Kingdom Hybrid / WFH Options
Hamilton Barnes
SMS) and enterprise database technologies. Output Stream Awareness: Expertise in Postscript, AFP, PDF, and HTML channels. Process Management: Experience in template upgrade & migration, normalization, batchprocessing, and data processing such as formatting and mapping (XML). Tool Proficiency: Experience with Atlassian suite (JIRA, Confluence, etc.). Familiarity more »
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Hamilton Barnes
SMS) and enterprise database technologies. Output Stream Awareness: Expertise in Postscript, AFP, PDF, and HTML channels. Process Management: Experience in template upgrade & migration, normalization, batchprocessing, and data processing such as formatting and mapping (XML). Tool Proficiency: Experience with Atlassian suite (JIRA, Confluence, etc.). Familiarity more »
Experience with Apache Spark and/or Databricks. Familiarity with BI visualization tools like Power BI Experience in managing end-to-end analytics pipelines (batch and streaming) Proficiency in root cause analysis and post-incident reporting in a production environment Excellent interpersonal skills Strong report writing, presentation, and record … Computer Science, Engineering, or related field Certifications such as Azure Data Engineer Associate are desirable. Knowledge of data ingestion methods for real-time and batchprocessing Proficiency in PySpark and debugging Apache Spark workloads. What’s in it for you? Annual bonus scheme – up to 10% Excellent pension more »
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services, such as Data Factory, Databricks, Azure SQL and Synapse Analytics, among others, to build scalable and secure data solutions that support complex onward processing by both operational and analytical teams. What will this role look like? - Develop and maintain scalable, efficient, and robust data architectures. This involves creating … 3NF and dimensional data models, designing and developing robust batchprocessing pipelines, and working with the operational and analytical teams to solve complex business problems. - Monitor system performance, identify bottlenecks, and implement changes to improve data processing and pipeline/systems performance. - Work closely with Data Scientists more »
Edinburgh, City of Edinburgh, United Kingdom Hybrid / WFH Options
Cathcart Technology
Lead Data Platform Engineer, you'll be helping the team handle vast amounts of data which constantly pours in. You'll be joining the batchprocessing team where you'll play a pivotal role in developing products utilized in-house by both Data Engineers and Software Engineers. For more »
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Cathcart Technology
Lead Data Platform Engineer, you'll be helping the team handle vast amounts of data which constantly pours in. You'll be joining the batchprocessing team where you'll play a pivotal role in developing products utilized in-house by both Data Engineers and Software Engineers. For more »
Azure Stream Analytics, and Azure Synapse Analytics. A solid foundation in data engineering, data science, and product development, encompassing experience in both stream and batch processing. Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL. Handling substantial volumes of structured and unstructured more »
/digital output, email, and SMS) and enterprise database technologies. Output stream awareness around Postscript, AFP, PDF, and HTML channels. Template Upgrade & Migration, Normalization, Batch Process, Data process like formatting, mapping (XML) etc., Solid Knowledge & hands on working experience in the scripts knowledge is mandatory for the following skills more »
our insights are published through our own digital portal (using React, typescript node.js). Technical know-how in data engineering techniques which cover both batchprocessing and/or streaming. Strong awareness of advantages/disadvantages of public cloud and technical leadership for the transition to Google Cloud more »
Health and Safety and Company Policies. What skills will you need? Essential qualifications/requirements: High volume manufacturing experience to include continuous processes and batch processes Significant experience of working with a maintenance background Experience in electrical and mechanical fault finding Planned maintenance systems and procedures development experience Proven more »
City Of Bristol, England, United Kingdom Hybrid / WFH Options
Anson McCade
Azure Stream Analytics, and Azure Synapse Analytics. A solid foundation in data engineering, data science, and product development, encompassing experience in both stream and batch processing. Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL. In addition, you should have proficiency or … and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered advantageous. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in designing and constructing solutions tailored for the Azure cloud environment more »