4 of 4 Permanent Batch Processing Jobs in Central London

data infrastructure * Data modelling for analytical workloads - dimensional modelling, data vault, or equivalent; schema evolution, slowly changing dimensions, and downstream impact analysis * Stream and batch processing patterns; late data handling, watermarking, and backfill strategies; throughput vs latency trade-offs in pipeline design * Production data observability - data lineage, quality … market data feeds (Bloomberg, Refinitiv), tick data, trade history, reference data, or instrument master management * Apache Spark or Flink for large-scale stream and batch processing beyond the Databricks ecosystem * dbt or equivalent SQL transformation layer; experience building and maintaining dbt projects in a production data warehouse * Event ...

delivery. Another part of the role will be to build integrations using Integration Gateway, App Events, Cloud APIs, REST APIs, and event-based/batch processing, allowing you to implement outbound REST integrations, including generating REST clients, configuring error handling, and ensuring fault tolerance and observability. Experience … development experience Proven experience leading integration teams (PolicyCenter, BillingCenter, ClaimCenter). Java, Gosu; REST/SOAP Web Services; XML, JSON Integration Gateway, Cloud API, Batch/Async processing Agile/Scrum delivery environments and using JIRA. Desirable, but not essential.. Guidewire ACE certified integration specialist If the above ...

London – Hybrid Project Type; Inside IR35 Contract hands on experience with Mainframe technologies including COBOL, CICS, JCL, DB2, and VSAM, with proven expertise in batch processing and online transaction processing (OLTP) environments Solid experience in application support, with a good understanding of Incident and Problem Management processes ...

understanding of .NET memory management internals - GC generations, LOH, pinned objects, finalisation, and how allocation patterns affect runtime behaviour Experience optimising high-throughput data processing pipelines - including async/await patterns, Channel, pipelines, and avoiding synchronisation bottlenecks Proven ability to diagnose large dataset query performance issues across both relational … patterns, LOH fragmentation, finaliser queues, and GC tuning (gen0/1/2, server vs. Workstation, DATAS) Investigate and optimise high-throughput data pipelines - batch processing, streaming patterns, buffer management, and backpressure handling Identify and resolve large dataset query performance issues - index utilisation, query plan analysis, pagination strategies ...