51 to 66 of 66 DemandTrendContract Infrastructure Architect - SAP Jobs

Engineer (Contract) Hybrid (London-based) | £450-£650/day A leading scientific and cultural institution is seeking a Principal Data Engineer to design and scale cloud-native data infrastructure powering biodiversity research, digitisation, and AI workflows. Key Responsibilities Architect and build scalable data pipelines for ingestion, transformation, enrichment, and publication. Integrate AI/ML workflows, including More ❯

+ Outside IR35 + £550 - £620 per day Dependant on experience + Fully remote working Key Skills: + Excellent track record and work history as an MS Solutions Architect + Experience with SolarWinds & ServiceNow highly desirable Overview We're looking for 2 Solution Architects to join a major customer engagement, providing design and assurance across multiple technology workstreams. … Collaborate with engineering teams to ensure solutions are implemented to specification. Produce high-quality architectural documentation, design patterns, and roadmaps. Core Skills & Experience Proven background as a Solution Architect within enterprise-scale environments. Strong expertise in Microsoft technologies (cloud and on-premise). Experience in hybrid cloud architectures (Azure preferred). Knowledge of infrastructure monitoring (e.g. More ❯

Data Engineer Remote, UK Contract Up to £500 per day Inside IR35 iO Associates have aligned with a global engineering leader delivering innovative solutions in infrastructure, environment, mining, and clean energy in search for experienced Data Engineer to build and optimise scalable data solutions using the Microsoft Azure stack (ADF, Synapse, SQL, Functions). The client prides itself … Functions Proficiency in SQL, ETL & data modelling Knowledge of cloud data architecture & DevOps/CI-CD Excellent problem-solving & communication skills Microsoft certifications (Azure Data Engineer/Solutions Architect) - desired Experience with Python, governance & compliance (GDPR, ISO) - desired Join a leading global engineering and construction firm, renowned for its extensive expertise in various sectors such as mining, environment … infrastructure, and clean energy. Apply now with your updated CV More ❯

in Splunk architecture, data ingestion, alerting, and dashboarding, along with experience migrating workloads to Elasticsearch. In addition to migration duties, the candidate will maintain and enhance existing Splunk infrastructure, provide incident support, manage upgrades, and ensure observability platforms remain secure and performant. This role demands a technically strong individual with excellent stakeholder communication and problem-solving skills. Key … configure alerting and monitoring using Kibana, Elasticsearch Watcher, or third-party tools. Ensure migration plans include validation, rollback procedures, and knowledge transfer. Platform Operations & Incident Response: Maintain Splunk infrastructure in both Production and Non-Production environments. Support Splunk SRE and Application teams in incident investigation and resolution. Proactively monitor system health and performance metrics. Upgrades and Change Management … Strong analytical, troubleshooting, and communication skills. Desirable: Experience with containerized environments such as Docker or Kubernetes . Industry certifications such as Splunk Certified Power User/Admin/Architect . Knowledge of automation tools (eg, Puppet, Ansible). Bachelor's degree in Computer Science, Information Systems, or related field. Key Attributes: Independent and proactive problem-solver. Collaborative and More ❯

lead the end-to-end development of a greenfield MLOps platform tailored for the fast-paced and data-intensive world of AdTech. This is a unique opportunity to architect a foundational capability that will power advanced machine learning use cases across our advertising ecosystem. Key Responsibilities: Define and own the product vision and roadmap for a brand-new … closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components and define the architectural blueprint for the MLOps platform. Collaborate with backend and platform engineering teams to identify technical gaps, scope backend development efforts … responsible AI. Preferred Qualifications: 5+ years of product management experience, with at least 2 years in AdTech, MarTech, or digital media platforms. Proven experience building ML platforms or infrastructure from scratch, ideally in a cloud-native environment. Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization. Familiarity with cloud platforms (especially GCP) and tools More ❯

foundation in software engineering and solution architecture, who is passionate about designing secure, scalable systems. In this role you will work closely with the M&A IT Application Architect to conduct architecture reviews, assess bespoke applications, and guide integration strategies that align with Group IT standards. A key focus will be on evaluating application security, development frameworks, and … readiness - particularly within Microsoft Azure. Key Skills: Hands on experience of having performed migrations of Windows Servers to Azure IaaS Demonstrate extensive experience working as a cloud/infrastructure engineer/senior engineer or in similar IT roles. Hands on experience of having performed Exchange migrations between organisations or M365 migrations between tenants. Extensive experience working with multi More ❯

them into data solutions. * Ensure data quality, security, and compliance across all data engineering processes. * Optimize performance of data pipelines and storage solutions. * Support and enhance existing data infrastructure and troubleshoot issues. Required Skills & Experience * Minimum of 5 years of experience in data engineering roles. * Strong hands-on expertise in Azure Data Factory, Azure Synapse, Azure SQL, and … Familiarity with DevOps practices and CI/CD pipelines. * Excellent problem-solving and communication skills. Preferred Qualifications * Microsoft certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert. * Experience with data governance, security, and compliance standards (e.g., GDPR, ISO). * Knowledge of Python or other scripting languages for data processing. More ❯

Contract Data Engineer £450-£480/day Outside IR35 6 Months Hybrid (London) A leading infrastructure investment firm is embarking on a complete rebuild of its data platform, starting with a greenfield Snowflake data warehouse, hosted in Azure. Backed by C-Suite sponsorship, this is a rare opportunity to take ownership of a major transformation project at its … Lead Data Engineer in driving development of the back-end stack. Own key elements of the Snowflake data warehouse build (greenfield project). Work closely with a consultant architect to implement a scalable, secure data platform. Engage with senior business stakeholders including COO, CFO, and Head of FP&A. Design robust ingestion pipelines, transformation logic, and QA frameworks. More ❯

Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling * Develop pipelines for transcription ingestion and real-time analytical insight generation * Support graph and RAG-based inference layers using data from structured and unstructured sources * Build and expose APIs for frontend consumption, enabling natural-language querying, dynamic visualisation, and … reporting * Ensure system portability via containerisation * Collaborate closely with data scientists to integrate self-hosted LLMs and analysis models into the backend infrastructure * Work with platform engineers to tune deployments for hardware-limited environments What You Bring * Strong experience building secure, scalable backend systems in Python and/or Go * Deep understanding of containerised services, particularly in Kubernetes More ❯

long-term transition from legacy systems (such as SITS) to cloud-native platforms. Integration Lead- Salesforce Education Cloud-Student Systems Implementation Essential Experience Proven experience as an Integration Architect or Lead Developer on enterprise-scale programmes, preferably in Higher Education. Excellent skills in designing and delivering integrations using Microsoft Azure PaaS (Functions, Logic Apps, API Management, Service Bus … systems (SITS) with modern cloud-native systems. Solid understanding of Agile delivery, sprint planning, backlog refinement, and DevOps principles. Experience with CI/CD pipelines, automated testing, and infrastructure-as-code (ARM/Bicep/Terraform). Exposure to integration monitoring and logging frameworks (e.g., Azure Monitor, Application Insights). Strong leadership and stakeholder engagement skills, including managing More ❯

long-term transition from legacy systems (such as SITS) to cloud-native platforms. Integration Lead- Salesforce Education Cloud-Student Systems Implementation Essential Experience Proven experience as an Integration Architect or Lead Developer on enterprise-scale programmes, preferably in Higher Education. Excellent skills in designing and delivering integrations using Microsoft Azure PaaS (Functions, Logic Apps, API Management, Service Bus … systems (SITS) with modern cloud-native systems. Solid understanding of Agile delivery, sprint planning, backlog refinement, and DevOps principles. Experience with CI/CD pipelines, automated testing, and infrastructure-as-code (ARM/Bicep/Terraform). Exposure to integration monitoring and logging frameworks (e.g., Azure Monitor, Application Insights). Strong leadership and stakeholder engagement skills, including managing More ❯

thoughtful downscaling and adaptation, not replication. You will work closely with a crossfunctional team of frontend engineers, data scientists, platform engineers, and external partners. What You'll Do * Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling * Develop pipelines for transcription ingestion and real-time analytical insight generation … natural-language querying, dynamic visualisation, and reporting * Ensure system portability via containerisation * Collaborate closely with data scientists to integrate self-hosted LLMs and analysis models into the backend infrastructure * Work with platform engineers to tune deployments for hardware-limited environments What You Bring * Strong experience building secure, scalable backend systems in Python and/or Go * Deep understanding More ❯

play a crucial role in designing and deploying secure, scalable AI services that drive next-generation use cases, including client intelligence, document processing, and risk management. Key Responsibilities: Architect & Implement: Design and deploy secure AI services from lab to production, ensuring they are scalable and compliant with industry standards. API Development: Create robust APIs for large language models … FCA, PRA). Required Knowledge & Experience: Proven experience delivering greenfield AI systems in production with secure-by-design architecture. Expertise in designing and managing AI lab environments using Infrastructure as Code (IaC), containerisation, and secure networking practises. Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment. Proficiency in building agentic workflows using modular More ❯

Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and implement secure AI services from lab to production, ensuring scalability and compliance Develop robust APIs for LLMs, RAG pipelines, agentic workflows and document intelligence systems Embed cybersecurity and … with data classification, masking, and DLP GDPR and data residency compliance MLOps & DevSecOps GitHub Actions, CI/CD security testing, model drift detection, audit logging Lab Environment Tooling Infrastructure-as-Code (IaC): Terraform, Pulumi Containerization & Orchestration: Docker, Kubernetes (GKE/AKS) Networking & Isolation: VPCs, private endpoints, firewall rules, network policies Data Sandboxing: Synthetic datasets, masking, DLP tooling Monitoring More ❯

Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and implement secure AI services from lab to production, ensuring scalability and compliance Develop robust APIs for LLMs, RAG pipelines, agentic workflows and document intelligence systems Embed cybersecurity and … with data classification, masking, and DLP GDPR and data residency compliance MLOps & DevSecOps GitHub Actions, CI/CD security testing, model drift detection, audit logging Lab Environment Tooling Infrastructure-as-Code (IaC): Terraform, Pulumi Containerization & Orchestration: Docker, Kubernetes (GKE/AKS) Networking & Isolation: VPCs, private endpoints, firewall rules, network policies Data Sandboxing: Synthetic datasets, masking, DLP tooling Monitoring More ❯

data modelling approaches (e.g. star schema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure Experience using version control and CI/CD tools like Git and GitHub Actions Confident working independently and taking ownership of problems and solutions Comfortable engaging directly with stakeholders … point during the recruitment process, if there is a better way for us to communicate, please do let us know. Data, Database, Engineer, Lead, Manager, Data Science, Data Architect, Business Intelligence, Python, SQL, DBT, Data Model, Data Modelling, AWS, Security Check, Sc Level, Sc Cleared, Sc Clearance, Security Cleared, Security Clearance, Security Vetting Clearance, Active SC, SC Vetted More ❯