Data Modelling Engineer

Role: Data Modelling Engineer Location- Glasgow, UK Onsite - 5 days/Week Employment type: Contract Must have: Python, SQL/NoSQL, RDF/SPARQL, AWS Job Responsibilities Model and structure currently available market data and define new schemas for integration into internal databases Design, implement, and maintain Kubernetes clusters for scalable data solutions Automate deployment, scaling, and management of containerized applications Design, develop, and maintain RESTful and/or GraphQL APIs using Python Collaborate with stakeholders to ensure data solutions meet business and regulatory requirements Work with datasets from major Market Data Vendors (Bloomberg, LSEG, Factset, S&P) and define schemas post-delivery Manage data integration and transformation using cloud platforms (AWS) and database technologies Maintain comprehensive technical documentation and API specifications Actively participate in Agile ceremonies and two-week sprint cycles Required Qualifications, Capabilities, And Skills Proven experience in data modelling within professional services or contract environments Strong hands-on expertise with Python, SQL/NoSQL, RDF/SPARQL Deep familiarity with API documentation tools (Swagger/OpenAPI) Experience in design and development of APIs Exposure to microservices and event-driven architectures Experience with AWS databases and Oracle database products Proficient in SQL for Oracle and No-SQL DSL for ElasticSearch Experience working in Agile teams Deep familiarity with W3C standards for data modelling and interoperability Excellent communication and stakeholder management skills Preferred Qualifications, Capabilities, And Skills Experience with DCAT/ODRL, NLP, Kubernetes, React, AWS Neptune