application of modern systems engineering methods. Large Scale system development including a variety of system types. Systems Engineering technical methods and practices, such as ontologies, modelling languages, architecture frameworks, processes and tooling. Salary & Benefits: £60k plus 12.5% annual bonus Monthly car allowance Hybrid/Flexible working in place Can be more »
for modernizing legacy data based on a semantic methodology (bCLEARer). Knowledge of this methodology is not required, however, some background in semantics and ontology will be preferred. These pipelines will support the digitalization, cleansing and transition of legacy data into the target systems as well as support ongoing integration … plus. understanding of graph operations, e.g. tree traversal, and network analysis. of semantics and ontological modelling of object-oriented data models. of graph and ontology stores. with engineering data platforms specifically an Engineering Data Warehouse. Engineering and Facilities domain knowledge/experience. more »
change for the financial services industry. We deliver our services through a SaaS platform, powered by an innovative combination of AI and proprietary data ontology, to simplify the complex and everchanging world of compliance for our clients. At CUBE, we are creating the future and are a company rooted in more »
London, England, United Kingdom Hybrid / WFH Options
Aventum Group
the infrastructure/architecture of the big data platform. Evaluating, comparing and improving the different approaches including design patterns innovation, data lifecycle design, data ontology alignment, annotated datasets, and elastic search approaches Developing, creating and maintaining a reliable data pipeline and schemas that feed other data processes; includes both technical more »
Azure and or Certified Azure Data Engineer Associate Interest on and exposure to on Generative AI are beneficial. Desired exposure to modern metadata management, ontologies and knowledge graphs. As a recognised Top 50 Inclusive Employer in the UK, we know that diversity means success and innovation. We want our workplace more »
change for the financial services industry. We deliver our services through a SaaS platform, powered by an innovative combination of AI and proprietary data ontology, to simplify the complex and everchanging world of compliance for our clients. At CUBE, we are creating the future and are a company rooted in more »
AI and Machine Learning. • You have good understanding of the different data architecture patterns: Data Fabric, Data Mesh, Data Warehouse, Data Marts, data modeling, ontologies & knowledge graphs, MicroServices • You have experience in implementing ETL data flows and data pipelines, and know one or more of the following tools: Informatica PowerCenter more »
