251 to 271 of 271 Data Lake Jobs in the UK

integrate CRM and Commerce solutions from leading platforms (Salesforce, Microsoft, Oracle, etc.) based on client needs. Design robust architectures that integrate CRM and commerce solutions with ERP systems, data platforms, analytics tools (Tableau, Power BI), and external systems. Lead large-scale digital transformation projects, ensuring alignment of CRM solutions with ERP, data lakes, cloud infrastructure, and … experience with CRM platforms such as Salesforce, SAP, Microsoft Dynamics, or Oracle working across sales, service and marketing. Proven expertise in delivering complex CRM integrations with external systems (Data Lakes, ERP, analytical platforms, and messaging systems) Experience with commerce platforms (such as Salesforce commerce cloud, Adobe commerce, etc ) and integration platforms (such as Mulesoft, Dell Boomi, etc) Have More ❯

strategic IT solutions to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role. A brilliant opportunity! The following skills/experience is … required: Strong Delivery Manager/Project Manager background. Good working knowledge of finance processes and associated data sets/taxonomies. Detailed understanding of Oracle EBS and Oracle Cloud. Good understanding of Data lakes, Data sourcing, accounting rules engines, reference data. Previously worked in an Investment or Corporate Bank. Understanding of accounting is desirable. Excellent More ❯

strategic IT solutions to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role. A brilliant opportunity! The following skills/experience is … required: Strong Delivery Manager/Project Manager background. Good working knowledge of finance processes and associated data sets/taxonomies. Detailed understanding of Oracle EBS and Oracle Cloud. Good understanding of Data lakes, Data sourcing, accounting rules engines, reference data. Previously worked in an Investment or Corporate Bank. Understanding of accounting is desirable. Excellent More ❯

strategic IT solutions to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role. A brilliant opportunity! The following skills/experience is … required: Strong Delivery Manager/Project Manager background. Good working knowledge of finance processes and associated data sets/taxonomies. Detailed understanding of Oracle EBS and Oracle Cloud. Good understanding of Data lakes, Data sourcing, accounting rules engines, reference data. Previously worked in an Investment or Corporate Bank. Understanding of accounting is desirable. Excellent More ❯

strategic IT solutions to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role. A brilliant opportunity! The following skills/experience is … required: Strong Delivery Manager/Project Manager background. Good working knowledge of finance processes and associated data sets/taxonomies. Detailed understanding of Oracle EBS and Oracle Cloud. Good understanding of Data lakes, Data sourcing, accounting rules engines, reference data. Previously worked in an Investment or Corporate Bank. Understanding of accounting is desirable. Excellent More ❯

strategic IT solutions to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role. A brilliant opportunity! The following skills/experience is … required: Strong Delivery Manager/Project Manager background. Good working knowledge of finance processes and associated data sets/taxonomies. Detailed understanding of Oracle EBS and Oracle Cloud. Good understanding of Data lakes, Data sourcing, accounting rules engines, reference data. Previously worked in an Investment or Corporate Bank. Understanding of accounting is desirable. Excellent More ❯

make equipment, software, and systems that help to plan, deploy, certify, monitor, and optimize all kinds of networks - like those for mobile phones, service providers, large businesses, and data centers. And we are also at the forefront of optical security - we bend light to develop and deliver optical solutions that provide security to the world's currencies and … monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers Collaborate cross-functionally with data science, product, and operations teams Champion responsible AI practices and safety mechanisms in all development work Pre-Requisites/Skills/Experience Requirements: Bachelor's degree in Computer Science … Anthropic) or ML frameworks (PyTorch, TensorFlow) Solid understanding of CI/CD, Git, testing, and agile methodologies Hands-on experience with Linux, Docker, and containerized deployments Familiarity with data engineering concepts (SQL, ETL, data lakes) Experience with orchestration frameworks like LangChain, LangGraph, or Semantic Kernel Cloud deployment experience (AWS, GCP, Azure) Work on high-impact AI More ❯

workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. More ❯

workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. More ❯

workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. More ❯

workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. More ❯

workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. More ❯

modelling, Rules/Feeders strategy, TurboIntegrator (TI) processes, performance tuning, security, and governance. Build PAW books, visualisations, and guided workflows; enable Planning Analytics for Excel (PAfE). Define data hub patterns and connect to ERPs/CRMs/data lakes via TM1 REST API, ODBC, or iPaaS. Institute coding standards, version control, peer reviews, automated promotions …/Feeders, TI scripting, PAW and PAfE, hierarchies, security, and performance optimisation. Consulting skills such as requirements facilitation, stakeholder management, and strong written/verbal communication. SQL and data modelling fundamentals. UK-based and able to travel to client sites when needed. Nice-to-haves Experience with Bedrock, Arc, Pulse, IBM Planning Analytics on Cloud, or containerised/ More ❯

deployment, customization, and optimization of Social Listening, Engagement, Affiliate, and Influencer Marketing platforms. Ensure seamless integration of these platforms with each other and with other key systems (e.g., data lakes and our BI systems). Drive the end-to-end replatforming process for social engagement, care, and listening technologies, including vendor selection, evaluation, and integration, while meeting critical … priorities and timelines. Facilitate cross-departmental discussions to gather, refine, and prioritize platform requirements. Provide transparent reporting on progress, risks, and outcomes to leadership and other key stakeholders. Data-Driven Decision-Making Lead the implementation of robust analytics within these platforms to track performance metrics and support decision-making. Ensure that the replatformed tools incorporate advanced analytics and … especially in complex, fast-paced environments. Proven experience in driving large-scale platform replatforming projects or similar initiatives end-to-end. Analytical mindset with a focus on turning data into meaningful insights and actions. Outstanding communication and relationship-building skills to foster collaboration across diverse teams. Deep understanding of social media, affiliate, and influencer marketing ecosystems. Required Qualifications More ❯

Integrations using API based policies ITIL 4 UK Public Sector deals Familiarity with: AI(Ops), Intelligent Automation, Lean and Analytics Experience with tooling for Discovery, Monitoring and Patching Data lakes Modern Catalog Management ServiceNow, SMAX or Remedy is a plus UK Security Clearance: At least SCAt DXC Technology, we believe strong connections and community are key to our … our behalf. More information on employment scams is available . DXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. The world's largest companies and public sector organizations trust DXC to deploy services to drive new More ❯

custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model … deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯

custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model … deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯

custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model … deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯

custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model … deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯

custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model … deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯

of strategic transactions through the sales process. Identify and close new opportunities for growth working with a mix of Public Sector accounts. Present Rubrik, Inc. solutions within complex data centre design environments. Co-sell and strategise with partners, distributors, and VAR's to enable rapid growth Provide Rubrik, Inc. management with feedback about the local market opportunity and … of quotas. Understanding and experience working with channel Highly driven, goal oriented "get it done" attitude. Experience selling a complex solution. Join Us in Securing the World's Data Rubrik (RBRK), the Security and AI company, operates at the intersection of data protection, cyber resilience and enterprise AI acceleration. The Rubrik Security Cloud platform is designed … to deliver robust cyber resilience and recovery including identity resilience to ensure continuous business operations, all on top of secure metadata and data lake. Rubrik's offerings also include Predibase to help further secure and deploy GenAI while delivering exceptional accuracy and efficiency for agentic applications. Linkedin | X (formerly Twitter) | Instagram | Inclusion @ Rubrik At Rubrik, we are dedicated More ❯