1,426 to 1,450 of 2,400 Permanent Data Modelling Jobs

Autolus, Inc. is seeking a Data Solution Architect in London to design and deliver end-to-end data solutions across integration, warehouse, and governance domains. You will translate business requirements into scalable architectures and collaborate with Data Product Owners and engineering teams. The role focuses on building … modern data models, ensuring data quality and security, and aligning with enterprise data architecture. Hybrid work in White City, with competitive compensation. #J-18808-Ljbffr ...

/Broker with a complex MiFID reporting stack built in SQL/stored procedures. As regulatory demand grows, they need to modernise how this data is surfaced and used across the business. This role exists to translate heavy backend logic into a scalable Qlik reporting layer , improving visibility, usability … high-impact build role focused on reshaping regulatory reporting: Rebuild MiFID transaction reporting in Qlik Translate complex stored procedure logic into BI outputs Define data models and reporting structure Partner with trading, compliance, and tech stakeholders Improve how regulatory data is consumed across the business What ...

Experience building scalable APIs and distributed systems Good understanding of object-oriented design, SOLID principles and software architecture Strong knowledge of relational databases and data modelling Experience working with cloud platforms, ideally AWS Excellent problem-solving skills and a passion for clean, maintainable code Strong communication skills with ...

delivered large, complex projects with ambiguous requirements Built distributed, event-driven systems with service-to-service APIs Deep understanding of relational databases (PostgreSQL) including data modelling, indexing, and query optimisation Experience with non-relational databases Comfort with Linux and command line Experience with Docker, AWS, Azure ...

Experience working within complex, heavily customised Salesforce environments Proven ability to assess and modernise legacy or brownfield Salesforce implementations Strong understanding of Salesforce security, data modelling, and governance Experience designing and implementing enterprise integration solutions Knowledge of DevOps practices, including: Git-based source control CI/CD pipelines ...

interfaces, and knows when each is the right choice. Public cloud experience with AWS, Azure, or Google Cloud, including managed and serverless compute patterns. Data modelling across relational and document stores, and can explain why a query is slow. Test-first practice. Writes tests as part of finishing ...

About the Role We're hiring a mid-level Data Scientist (2 to 5 years' experience) for our Data team, working within Risk & Fraud. The brief is simple: reduce fraud without adding friction for good users. In practice that means ML models, deterministic rules and signal tuning … Product, Growth, and Engineering, and your work turns into product, policy, and revenue. If you're drawn to crypto, payments, and the kind of data they throw off, there's a lot here to get into. What You'll Do Risk, fraud and compliance. Build and iterate on fraud ...

application frameworks and tooling (e.g. MCP/tool integrations, multi agent architectures). Strong database and SQL experience, with the ability to design scalable data models and services. Proven systems thinker who can take ambiguous business problems from concept through production deployment. Cloud AI fundamentals (Azure) Certification; nice ...

code pushdown techniques.* Techno-functional expertise in SAP Tax & Revenue Management, HR, FI and CRM, with a strong understanding of S/4HANA data model changes and integration points across these modules.* Experience with SAP UI and Fiori, including SAPUI5 development, Fiori app extensions, and OData service design aligned ...

initiatives, delivering high-quality requirements specifications for our customers and within the SAP technology landscape. Translating business needs into specific requirements including UI design; Data models; Business process changes and Interface designs?. Apply best practice Requirements Engineering techniques, ensuring effective elicitation, analysis, validation, documentation, and traceability of requirements ...

initiatives, delivering high-quality requirements specifications for our customers and within the SAP technology landscape. Translating business needs into specific requirements including UI design Data models Business process changes and Interface designs?. Apply best practice Requirements Engineering techniques, ensuring effective elicitation, analysis, validation, documentation, and traceability of requirements ...

strategies, tool interfaces, and integration patterns that enable AI capabilities to interact effectively with MES business processes. Leading the platform's approach to data modelling, ontology strategy, semantic understanding, and business context required for AI-driven experiences. Providing architectural leadership across multiple engineering teams delivering AI, Integration … enterprise software products. Experience designing APIs, service contracts, and software architectures. Experience with cloud-native application development and modern SaaS architectures. Experience with semantic modelling, ontologies, knowledge graphs, or domain-driven modelling approaches used to represent complex business domains. Strong understanding of software architecture, security, scalability, reliability ...

seeking an Azure Databricks Data Engineer to design, develop and deliver cloud-based data integration and analytics solutions within our Retail portfolio. You will build scalable pipelines, optimise performance and ensure data quality across data layers, collaborating with data professionals in a fast-paced, hybrid … work setting in the UK. You will work hands-on with Azure Databricks, Azure Data Factory and Azure SQL, translating retail requirements into robust data models while adhering #J-18808-Ljbffr ...

Lendable Ltd is offering a 10-week internship in London for students who love numbers and problem-solving. You will analyze data to uncover insights and help shape lending strategies in a fast-growing fintech environment. Candidates should be penultimate-year university students with Python or SQL skills. … role involves data modelling, hypothesis testing, and presenting findings to senior leaders; hybrid work options apply with an emphasis on impact and learning in a start-up setting. #J-18808-Ljbffr ...

looking for somebody to join us in building and improving our clients’ modern web applications, while also contributing to APIs, application logic, data and production support. Our current work includes Angular, TypeScript, Java and Spring, but we hire for transferable engineering ability rather than exact framework history. AI-assisted … HTML and CSS. Design maintainable components, application state, forms, validation and API integrations. Develop and maintain back-end services, REST APIs, application logic and data integrations. Write meaningful automated tests and review code for correctness, security, performance and maintainability. Take ownership of features from clarification and estimation through release ...

during probation, then hybrid with a minimum of three days in the office. You will work with Power BI, DAX, Power Query, SQL and data modelling to build reports and dashboards, shape datasets and streamline how information is gathered and used across teams. #J-18808-Ljbffr ...

Site : 1 Contract Rate : 800 Contract Job : 1 Hybrid : 1 Salary range high : 900 Salary range low : 800 Data Architect London Hybrid Contract Consulting GBP800 - 900 per day Posted 3 hours ago Hands-on Data Architect | AWS | Insurance & AI Readiness Build the data foundations that make enterprise … possible. SR2 Consulting is looking for a hands-on Data Architect to support an insurance transformation programme, shaping how data is integrated, governed and made available for operational use, analytics and future AI capabilities. This suits an architect who can move between business conversations, technical design and detailed ...

company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Snowflake Data Engineer 3 month Fixed Term Contract London - Hybrid (Onsite 2 days per week) Fractal is a strategic AI partner to Fortune 500 companies with … more information about Fractal Role/Responsibilities : Must have Snowflake &/Snowflake ML experience - this is mandatory for this Fractal Engineer role. Fractal Data Engineer roles required with the necessary Snowflake experience. Data Build Tool (DBT) experience would be advantageous. To manage the build of nominated Programme ...

connected tribes Creator Products: Providing creators with the infrastructure to build and back aligned products and ventures Powered by Creator Tech & Intelligence: A proprietary data and technology suite that fuels smarter decisions and drives innovation across the entire flywheel. Powering all of it is Steven.com's Innovation and Technology … Organisation (ITO). We are building proprietary AI infrastructure, developing consumer and enterprise digital products, and creating the data and intelligence layer that drives smarter decisions across the business. Each pillar feeds the next. The result is a flywheel that compounds over time and bets on human creation ...

Fospha, a world-leading measurement platform for online retail, invites a Core Data Engineer to design, build and optimise data pipelines, data models, and governance across analytics and ML workflows in London. You will own reliability and scalability of data in production, collaborate with Data Science and Platform teams, and contribute to GenAI initiatives through robust ETL/ELT patterns and data quality controls. #J-18808-Ljbffr ...

R114326**Principal AI Engineer****Are** **you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy creating solutions that turn complex data into impactful outcomes?** **About the team:**Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into … concept, and deliver new ones.* Design and govern reusable agentic AI patterns (orchestration, tool use, memory, retrieval).* Ensure delivery meets architecture, security and data-governance standards; recommend infrastructure, hosting and data residency.* Codify validated solutions into patterns, reference implementations, and starter kits so they can be picked ...

system reaches. Backend: an instinct for distributed systems (what fails, what is eventually consistent, where queues back up), APIs that age well, thoughtful data modelling, and an understanding that languages are mostly syntax differences you can close with AI. Cloud: cost-aware and security-aware by default, reaching … composing the primitives rather than stitching together managed services and hoping it works. Data: modern pipelines, governance and lineage, increasingly vector stores and embeddings, with data quality treated as seriously as production code because garbage in, garbage out is far worse once AI features depend on it. ...

system reaches. Backend: an instinct for distributed systems (what fails, what is eventually consistent, where queues back up), APIs that age well, thoughtful data modelling, and an understanding that languages are mostly syntax differences you can close with AI. Cloud: cost-aware and security-aware by default, reaching … composing the primitives rather than stitching together managed services and hoping it works. Data: modern pipelines, governance and lineage, increasingly vector stores and embeddings, with data quality treated as seriously as production code because garbage in, garbage out is far worse once AI features depend on it. ...

system reaches. Backend: an instinct for distributed systems (what fails, what is eventually consistent, where queues back up), APIs that age well, thoughtful data modelling, and an understanding that languages are mostly syntax differences you can close with AI. Cloud: cost-aware and security-aware by default, reaching … composing the primitives rather than stitching together managed services and hoping it works. Data: modern pipelines, governance and lineage, increasingly vector stores and embeddings, with data quality treated as seriously as production code because garbage in, garbage out is far worse once AI features depend on it. ...

system reaches. Backend: an instinct for distributed systems (what fails, what is eventually consistent, where queues back up), APIs that age well, thoughtful data modelling, and an understanding that languages are mostly syntax differences you can close with AI. Cloud: cost-aware and security-aware by default, reaching … composing the primitives rather than stitching together managed services and hoping it works. Data: modern pipelines, governance and lineage, increasingly vector stores and embeddings, with data quality treated as seriously as production code because garbage in, garbage out is far worse once AI features depend on it. ...