26 to 42 of 42 Data Modelling Jobs in the City of London

London is seeking a Senior Manager for SAP Data & Analytics to lead the design and delivery of complex data architectures across SAP BW/4HANA, SAP Datasphere and related analytics platforms, aligned with client business needs. You will lead cross-functional teams, manage client engagements, drive data modelling, provisioning and integration across hybrid landscapes, and support sales opportunities while mentoring junior staff. #J-18808-Ljbffr ...

Data Migration Developer will focus on the technical aspects of data migration into Dynamics 365 for Finance. This role involves working closely with data leads, functional consultants, and architects to design and execute efficient ETL processes, ensuring a smooth transition from legacy systems with an emphasis … accuracy and scalability. Responsibilities Design and build ETL processes and migration solutions. Extract, transform, and cleanse data from legacy systems. Load data into D365 for Finance & Operations using integration tools. Validate data and support SIT/UAT and reconciliation activities. Collaborate with data leads, functional consultants ...

business needs into clear technical stories for the development team to build. This is a highly mature ServiceNow environment, built on the Common Services Data Model (CSDM) and moving toward fully out-of-the-box, AI-enabled versions of these products within the next 3-6 months. This ...

business needs into clear technical stories for the development team to build. This is a highly mature ServiceNow environment, built on the Common Services Data Model (CSDM) and moving toward fully out-of-the-box, AI-enabled versions of these products within the next 3-6 months. This ...

+ great benefits Why Apply? My client is a SaaS SME created within and as part of a large wealth management firm, delivering complex data driven solutions to global financial services clients. You'll work on high impact implementation projects, combining technical expertise with business analysis, and gain exposure … sophisticated financial data, modern cloud platforms, and enterprise scale systems. It's an exciting environment where you'll use a cutting-edge tech stack to build data driven fintech software for major financial institutions. Responsibilities: Deliver end to end client implementations alongside Project Managers within a Professional Services ...

Enterprise Administration Splunk environment design and architecture. Administration of Indexer and Search Head Clusters. Splunk upgrades and platform maintenance. Forwarder installation, configuration and troubleshooting. Data onboarding, parsing and data quality improvements. End-to-end SSL implementation across Splunk components. PCRE (Perl Compatible Regular Expressions). Data models … data model accelerations and summarised searches. Development of knowledge objects, dashboards and alerts. Platform health checks, optimisation and troubleshooting. Python Scripting (desirable). Splunk Enterprise Security (ES) ES data models and CIM compliance. Correlation searches and notable event management. ES content development and administration. Technical Environment Experience working ...

experience with Salesforce Experience Cloud development, including community and portal design Strong understanding of Salesforce Lightning, Aura, and LWC component development Familiarity with Salesforce data model, APIs, and integration techniques Experience with JavaScript, HTML, CSS, and other web technologies Salesforce certifications related to Experience Cloud or Lightning is highly ...

direction of a brand-new enterprise Salesforce platform. This hybrid role blends hands-on development with architectural leadership across FSC implementations. You will shape data models, integrations and governance, mentor engineers and drive best practices while partnering with product and architecture teams to deliver a scalable, secure solution. #J ...

deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate … correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities Own the data infrastructure underpinning AI deployments pipelines, storage, and data serving Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems Build and maintain APIs, webhooks, and middleware ...

understanding of Agile principles, especially Scrum or Kanban. Ability to collaborate effectively with engineers and product team. Strong analytical mindset and ability to make data-driven decisions. Excellent communication, coordination, and stakeholder-management skills. Ability to translate business language into technical details. Proficiency with AI tools (such as Claude … Experience with generative AI tools or AI-assisted product features. Understanding of how AI can be applied in enterprise products. Basic understanding of APIs, data models, SQL, or reading technical logs is an advantage. Hands-on experience with tools like Jira and Confluence. Experience using intelligence tools for engineering ...

Eaglecliff is seeking a Data Technical Lead with strong Azure Databricks experience to shape our enterprise data platform for energy trading. You will own solution architecture, guide engineering teams, and partner with stakeholders to deliver scalable data products. The role emphasizes streaming data, governance, cost optimization … robust data models for trading workflows. You must communicate clearly, mentor others, and translate business needs into technical roadmaps. #J-18808-Ljbffr ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised … Want to push the limit of digital possibilities? Start here. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Transaction Banking ...

engineering agenda: building on Honeycomb and OpenTelemetry, driving instrumentation across a globally distributed microservices estate, and partnering directly with development teams to turn telemetry data into better, faster software. About the team This role sits within the Observability team, part of IG's broader SRE and Platform Engineering function. … evolve IG’s Honeycomb-centric observability platform, ensuring it is reliable, scalable, and fit for a complex, globally distributed trading environment. Define platform standards, data models, and integration patterns for telemetry collection, storage, and querying across the estate. Instrumentation and telemetry – Drive OpenTelemetry adoption across engineering teams, providing hands ...

development across Lightning Web Components (LWC), Flows and Apex Design and govern integrations using REST/SOAP APIs and modern API‐led architecture Define data models including Person Accounts, Households, Relationships and data‐sharing models Establish development standards, coding practices and technical governance Implement and manage CI/… Flows Strong understanding of Salesforce security, governor limits and platform performance Experience designing Salesforce integrations using REST/SOAP APIs and middleware Experience with Data Cloud (Data360) and Marketing Cloud Engagement Experience leading development teams or acting as a Salesforce Technical Lead or Solution Architect Experience implementing CI/ ...

proposed solutions and integrations Identifying edge cases, functional gaps and logic flaws before technical delivery starts Documenting current and future state processes, including data flow diagrams and data models Reviewing business and non-functional requirements and pushing back where needed Writing epics and user stories so engineering teams … read a technical design and ask the right questions about it Confident reviewing and commenting on technical designs, solution architecture and integrations Comfortable discussing data flows, SQL and technical architecture Experience with Agile delivery: user stories, acceptance criteria and the full SDLC Comfortable making a reasonable assumption and moving ...

utilise your NoSQL expertise in a fast-paced environment and contribute to enhancing fraud detection capabilities. Key Responsibilities: Design & Implement: Craft Cassandra keyspaces, data models, and cluster architecture tailored for a high-throughput fraud detection platform. Collaborate: Work closely with application and middleware teams, ensuring seamless data integration … alignment with business goals. Optimise: Take ownership of keyspace design, performance tuning, and operational readiness of the data platform. Documentation: Produce essential design documentation and operational runbooks for effective knowledge transfer. What You'll Bring: A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. ...

case management environment that fits how its teams actually work. * Develop and apply a deep, working knowledge of the Clio Operate/ShareDo data model, using it to map, transform, and load case and matter data accurately. * Lead the discovery of case data held in each ...