876 to 893 of 893 Data Integration Jobs

is seeking a Software Engineer (Smallworld GIS) to support projects in the utilities domain . The role involves developing, enhancing, and maintaining GIS-based applications focused on asset mapping , data integration , and system optimisation . Key Responsibilities Participate in analysis, design, development, implementation, and testing of GIS solutions Provi... More ❯

LAN & WAN/Internet, Security* Database and Database Access Design* HCI in Software Systems* Machine-to-Machine Automation Technologies* Java based Enterprise Middleware Platform* Containerisation: Docker* MQTT, RESTful URL Data Integration* Deep Learning Neural Network Platforms* Enterprise Linux Platforms If you fit the criteria for this environmental software developer position and would like to apply for this exciting More ❯

LAN & WAN/Internet, Security Database and Database Access Design HCI in Software Systems Machine-to-Machine Automation Technologies Java based Enterprise Middleware Platform Containerisation: Docker MQTT, RESTful URL Data Integration Deep Learning Neural Network Platforms Enterprise Linux Platforms If you fit the criteria for this environmental software developer position and would like to apply for this exciting More ❯

on payroll-related projects. Key Responsibilities: Develop and enhance HRSD modules, with a focus on Payroll workflows and automation. Configure ServiceNow to streamline HR and payroll processes, ensuring seamless data integration. Implement and maintain CSDM and other platform-wide best practices. Work closely with HR and IT stakeholders to capture requirements and deliver effective solutions. Support testing, deployment, and More ❯

on payroll-related projects. Key Responsibilities: Develop and enhance HRSD modules, with a focus on Payroll workflows and automation. Configure ServiceNow to streamline HR and payroll processes, ensuring seamless data integration. Implement and maintain CSDM and other platform-wide best practices. Work closely with HR and IT stakeholders to capture requirements and deliver effective solutions. Support testing, deployment, and More ❯

on payroll-related projects. Key Responsibilities: Develop and enhance HRSD modules, with a focus on Payroll workflows and automation. Configure ServiceNow to streamline HR and payroll processes, ensuring seamless data integration. Implement and maintain CSDM and other platform-wide best practices. Work closely with HR and IT stakeholders to capture requirements and deliver effective solutions. Support testing, deployment, and More ❯

on payroll-related projects. Key Responsibilities: Develop and enhance HRSD modules, with a focus on Payroll workflows and automation. Configure ServiceNow to streamline HR and payroll processes, ensuring seamless data integration. Implement and maintain CSDM and other platform-wide best practices. Work closely with HR and IT stakeholders to capture requirements and deliver effective solutions. Support testing, deployment, and More ❯

business applications using Microsoft Power Platform. The ideal candidate will have hands-on experience with Power Apps, Power Automate, and Dataverse, and a strong understanding of business processes and data integration. Experience Level - 5+ years of experience in enterprise application development, with 3+ years of hands-on experience in Power Apps, Power Automate, and related technologies. Key Responsibilities Build … and maintain Canvas and Model-Driven Power Apps tailored to business needs. Develop and optimize automated workflows using Power Automate. Design and manage data models in Dataverse, SharePoint, and other data sources. Integrate Power Apps with Microsoft 365, Azure, and third-party services via connectors and APIs. Collaborate with stakeholders to gather requirements and deliver scalable solutions. Ensure … compliance with security, governance, and data protection policies. Provide ongoing support, troubleshooting, and enhancements for existing apps. Document technical specifications and provide user training as needed. Required Skills & Qualifications Proficiency in Power Apps, Power Automate, and Dataverse. Strong command of Power Fx and formula-based logic. Experience with SharePoint, Teams, Outlook, and other Microsoft 365 tools. Familiarity with REST More ❯

business applications using Microsoft Power Platform. The ideal candidate will have hands-on experience with Power Apps, Power Automate, and Dataverse, and a strong understanding of business processes and data integration. Experience Level - 5+ years of experience in enterprise application development, with 3+ years of hands-on experience in Power Apps, Power Automate, and related technologies. Key Responsibilities Build … and maintain Canvas and Model-Driven Power Apps tailored to business needs. Develop and optimize automated workflows using Power Automate. Design and manage data models in Dataverse, SharePoint, and other data sources. Integrate Power Apps with Microsoft 365, Azure, and third-party services via connectors and APIs. Collaborate with stakeholders to gather requirements and deliver scalable solutions. Ensure … compliance with security, governance, and data protection policies. Provide ongoing support, troubleshooting, and enhancements for existing apps. Document technical specifications and provide user training as needed. Required Skills & Qualifications Proficiency in Power Apps, Power Automate, and Dataverse. Strong command of Power Fx and formula-based logic. Experience with SharePoint, Teams, Outlook, and other Microsoft 365 tools. Familiarity with REST More ❯

tool. 💡 The goal: To create a SaaS solution within Azure that automates clinical protocol drafting — cutting time, improving consistency, and reducing human error through AI-powered document generation and data integration. 🧩 What you’ll be doing: You’ll contribute across 4 key development phases — from UI integration through to data ingestion, backend logic, document generation, and optimization … Building new front-end functionality and document generation (DOCX via Jinja2 templates) Developing secure data pipelines (Study Builder API, Databricks integration) Creating backend logic and content databases for document automation Supporting Azure deployment and SaaS delivery to enterprise clients ☁️ Tech environment: Python inja2 API Integration Databricks SaaS Delivery 🎯 We’re looking for: Proven full stack engineering experience More ❯

GIS) to lead the delivery of complex IT and infrastructure projects. The role involves managing the end-to-end lifecycle of projects that integrate core IT infrastructure with spatial data solutions, ensuring alignment with business objectives, technical standards, and security requirements. You will work closely with cross-functional teams - including infrastructure engineers, GIS specialists, application owners, and business stakeholders … project deliverables meet agreed scope, timelines, budgets, and quality standards. Oversee the design and implementation of network, server, and storage environments supporting GIS platforms. Collaborate with GIS analysts and data engineers to ensure infrastructure scalability, performance, and data integrity. Maintain compliance with IT governance, cybersecurity, and data protection policies (e.g. ISO 27001, GDPR). Produce and maintain … platforms). Strong technical understanding of infrastructure components - servers, networks, storage, virtualization, and cloud (Azure/AWS). Familiarity with spatial databases (PostGIS, SQL Server Spatial, Oracle Spatial) and data integration. Experience managing vendors, budgets, and multi-disciplinary teams. Knowledge of ITIL, Prince2, or Agile project management methodologies. Excellent stakeholder management, communication, and documentation skills. Understanding of information security More ❯

GIS) to lead the delivery of complex IT and infrastructure projects. The role involves managing the end-to-end lifecycle of projects that integrate core IT infrastructure with spatial data solutions, ensuring alignment with business objectives, technical standards, and security requirements. You will work closely with cross-functional teams — including infrastructure engineers, GIS specialists, application owners, and business stakeholders … project deliverables meet agreed scope, timelines, budgets, and quality standards. Oversee the design and implementation of network, server, and storage environments supporting GIS platforms. Collaborate with GIS analysts and data engineers to ensure infrastructure scalability, performance, and data integrity. Maintain compliance with IT governance, cybersecurity, and data protection policies (e.g. ISO 27001, GDPR). Produce and maintain … platforms). Strong technical understanding of infrastructure components — servers, networks, storage, virtualization, and cloud (Azure/AWS). Familiarity with spatial databases (PostGIS, SQL Server Spatial, Oracle Spatial) and data integration. Experience managing vendors, budgets, and multi-disciplinary teams. Knowledge of ITIL, Prince2, or Agile project management methodologies. Excellent stakeholder management, communication, and documentation skills. Understanding of information security More ❯

GIS) to lead the delivery of complex IT and infrastructure projects. The role involves managing the end-to-end lifecycle of projects that integrate core IT infrastructure with spatial data solutions, ensuring alignment with business objectives, technical standards, and security requirements. You will work closely with cross-functional teams — including infrastructure engineers, GIS specialists, application owners, and business stakeholders … project deliverables meet agreed scope, timelines, budgets, and quality standards. Oversee the design and implementation of network, server, and storage environments supporting GIS platforms. Collaborate with GIS analysts and data engineers to ensure infrastructure scalability, performance, and data integrity. Maintain compliance with IT governance, cybersecurity, and data protection policies (e.g. ISO 27001, GDPR). Produce and maintain … platforms). Strong technical understanding of infrastructure components — servers, networks, storage, virtualization, and cloud (Azure/AWS). Familiarity with spatial databases (PostGIS, SQL Server Spatial, Oracle Spatial) and data integration. Experience managing vendors, budgets, and multi-disciplinary teams. Knowledge of ITIL, Prince2, or Agile project management methodologies. Excellent stakeholder management, communication, and documentation skills. Understanding of information security More ❯

shift planning. System Configuration: Design and configure SAP Time Management (PT) solutions, including time schemas (PE01), time rules (PE02), time types, absence types, work schedules, and public holiday calendars. Integration: Ensure seamless integration of the SAP Time Management module with other SAP modules, particularly SAP Payroll (PY), Organizational Management (OM), and Personnel Administration (PA). Solution Design: Develop … comprehensive functional specifications for custom developments, enhancements, and reports, and work closely with ABAP developers to ensure accurate implementation. Testing: Conduct and support various testing phases, including unit testing, integration testing, and user acceptance testing (UAT), and manage defect resolution. Documentation: Create and maintain detailed system documentation, configuration guides, process flows, and end-user training materials. Support & Training: Provide … years of hands-on experience in configuration and implementation. Technical Skills: In-depth knowledge of SAP Time Management processes, including positive and negative time recording, time evaluation, and time data integration. Configuration: Expertise in configuring time schemas and rules, as well as work schedules, public holiday calendars, and different types of attendances and absences. Integration: Solid understanding of More ❯

lifecycle. Operating at the intersection of finance and machine intelligence, the team is responsible for developing production-grade AI systems that empower portfolio managers, analysts, and researchers with intelligent, data-driven capabilities. About the Role This is a senior-level engineering position within a cross-functional team that blends AI research, software engineering, and large-scale data integration. … You'll play a key role in designing and deploying robust AI infrastructure, with a particular focus on knowledge representation, intelligent retrieval systems, and the seamless integration of AI models into production environments. You'll collaborate closely with ML researchers, frontend engineers, and stakeholders across the business to deliver scalable, high-performance applications that bridge structured and unstructured data. … Key Responsibilities Design and build intelligent data retrieval systems that power AI-driven investment tools. Collaborate with ML researchers to prototype, develop, and deploy new AI/ML products. Work with frontend engineers to integrate backend systems into user-facing applications. Lead architectural decisions and contribute to the evolution of AI infrastructure. Participate in the full software development lifecycle More ❯

lifecycle. Operating at the intersection of finance and machine intelligence, the team is responsible for developing production-grade AI systems that empower portfolio managers, analysts, and researchers with intelligent, data-driven capabilities. About the Role This is a senior-level engineering position within a cross-functional team that blends AI research, software engineering, and large-scale data integration. … You'll play a key role in designing and deploying robust AI infrastructure, with a particular focus on knowledge representation, intelligent retrieval systems, and the seamless integration of AI models into production environments. You'll collaborate closely with ML researchers, frontend engineers, and stakeholders across the business to deliver scalable, high-performance applications that bridge structured and unstructured data. … Key Responsibilities Design and build intelligent data retrieval systems that power AI-driven investment tools. Collaborate with ML researchers to prototype, develop, and deploy new AI/ML products. Work with frontend engineers to integrate backend systems into user-facing applications. Lead architectural decisions and contribute to the evolution of AI infrastructure. Participate in the full software development lifecycle More ❯

lifecycle. Operating at the intersection of finance and machine intelligence, the team is responsible for developing production-grade AI systems that empower portfolio managers, analysts, and researchers with intelligent, data-driven capabilities. About the Role This is a senior-level engineering position within a cross-functional team that blends AI research, software engineering, and large-scale data integration. … You'll play a key role in designing and deploying robust AI infrastructure, with a particular focus on knowledge representation, intelligent retrieval systems, and the seamless integration of AI models into production environments. You'll collaborate closely with ML researchers, frontend engineers, and stakeholders across the business to deliver scalable, high-performance applications that bridge structured and unstructured data. … Key Responsibilities Design and build intelligent data retrieval systems that power AI-driven investment tools. Collaborate with ML researchers to prototype, develop, and deploy new AI/ML products. Work with frontend engineers to integrate backend systems into user-facing applications. Lead architectural decisions and contribute to the evolution of AI infrastructure. Participate in the full software development lifecycle More ❯

AI Technical Consultant Engineer L LM, Python, RAG, Data Analyst SQL, Tableau, R, Python, Gen AI & Machine Learning. Hybrid working, office location Weybridge, Surrey. The role: Build and refine LLM/SLM-based Generative AI solutions from scratch, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for AI-powered systems across cloud … and fine-tuning LLMs/SLMs. 5+ years hands-on skills Python development skills. Integrating with SQL/NoSQL databases. Experience with API development, web scraping/crawling, and data integration. Practical exposure to on premise AI model deployment and open-source AI frameworks (e.g., Hugging Face, LangChain). Ability to assess AI tools and recommend optimization for performance More ❯