3 of 3 Permanent Performance Optimisation Jobs in Suffolk

Guidewire data pipelines and ETL workflows leveraging Guidewire DataHub, GDA, and InsuranceSuite data structures. Architect enterprise-grade Guidewire Lakehouse or downstream data solutions, ensuring performance optimisation, data governance, lineage, and security best practices. Translate business requirements into robust Guidewire-aligned data models, collaborating closely with business, data engineering … Strong hands-on expertise with Guidewire DataHub (data model extensions, ETL, mappings, staging patterns). Deep understanding of Guidewire Data Access (GDA) for high-performance data extraction and reporting integration. Experience across the Guidewire InsuranceSuite (PolicyCenter, ClaimCenter, BillingCenter) data model. Strong background in data modelling, ETL design, and performance ...

identified for improvement. Helping to develop proofs of concept for proposed solutions. Interpreting and analysing data using analytics tools to report on client site performance and where improvements can be made. Presenting ideas and solutions in a clear, organised, and easy-to-understand manner both orally and in writing … deadlines whilst working independently and as part of a team. Solid understanding of SEO and the ability to use analytics tools to report on performance optimisation. Skills Passionate about all things digital and commerce. Engaging, bright, and confident communicator with a collaborative personality and sense of humour. Inquisitive, accountable ...

across engineering, product, and analytics through clear communication and stakeholder collaboration. Anticipate future data needs, balancing long-term vision with pragmatic delivery. Own reliability, performance, and observability of critical data systems, including SLO definition and operational resilience. Mentor and develop senior data engineers through architecture reviews, technical coaching … Extensive experience designing and operating large-scale, cloud-based data platforms. Deep expertise in data engineering fundamentals: data modelling, pipeline orchestration, distributed systems, and performance optimisation. Strong architectural judgement, balancing technical excellence with business outcomes. Proven leadership and influence across cross-functional teams. Demonstrated success mentoring senior engineers ...