151 to 175 of 175 Data Lake Jobs in London

entirety of the scope of the IT team! This will include areas such as: Microsoft Azure Cloud computing and infrastructure, including: Virtual Machine setup, capacity management and maintenance; Data lakes and data integration; Performance monitoring and optimisation for very large datasets Windows Server platform and associated technologies, including performing patching & upgrades to Windows and SQL Server … to better understand their needs and functional outcomes You can cope with conflicting and changing priorities and have strong and proactive communication skills Desired Skills: Coding skills and data analytics knowledge - SQL would be ideal Computing terminology This is a real opportunity to join the company at the start of its journey with the obvious implications for growth … Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender More ❯

bases (10,000+ users). Create/manage security playbooks and knowledge of public sector standards. Experience in Xsiam correlation/playbooks and Cortex XDR, Cortex Data Lake, and Cortex XSOAR. Strong cloud security, network/system security fundamentals, and scripting for automation. Familiar with NIST SC Clearance - Candidates holding active SC will benefit of a quick More ❯

bases (10,000+ users). Create/manage security playbooks and knowledge of public sector standards. Experience in Xsiam correlation/playbooks and Cortex XDR, Cortex Data Lake, and Cortex XSOAR. Strong cloud security, network/system security fundamentals, and scripting for automation. Familiar with NIST SC Clearance - Candidates holding active SC will benefit of a quick More ❯

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 ❯

Paragon are partnered with one of the worlds most prominent quant hedge funds, looking to make a Senior Data hire in London to support HFT strategies. The focus here is on the best engineer, so the hire can come from trading, tech or the world of AI/start-ups. This data team helps to build … cloud based and scalable data-lakes for MFT and HFT quant teams, ingest vast amounts of data into the company, which can be used for quant research and model development. Stack: Python, AWS, S3, Airflow, SQL The role needs a talented data engineer who can build a scalable and bespoke data platform … but at the same time someone comfortable with communicating technical solutions to non technical investment staff. If you want the chance to harness your data skills and apply them directly to trading strategies, then please do apply More ❯

Paragon are partnered with one of the worlds most prominent quant hedge funds, looking to make a Senior Data hire in London to support HFT strategies. The focus here is on the best engineer, so the hire can come from trading, tech or the world of AI/start-ups. This data team helps to build … cloud based and scalable data-lakes for MFT and HFT quant teams, ingest vast amounts of data into the company, which can be used for quant research and model development. Stack: Python, AWS, S3, Airflow, SQL The role needs a talented data engineer who can build a scalable and bespoke data platform … but at the same time someone comfortable with communicating technical solutions to non technical investment staff. If you want the chance to harness your data skills and apply them directly to trading strategies, then please do apply More ❯

Paragon are partnered with one of the worlds most prominent quant hedge funds, looking to make a Senior Data hire in London to support HFT strategies. The focus here is on the best engineer, so the hire can come from trading, tech or the world of AI/start-ups. This data team helps to build … cloud based and scalable data-lakes for MFT and HFT quant teams, ingest vast amounts of data into the company, which can be used for quant research and model development. Stack: Python, AWS, S3, Airflow, SQL The role needs a talented data engineer who can build a scalable and bespoke data platform … but at the same time someone comfortable with communicating technical solutions to non technical investment staff. If you want the chance to harness your data skills and apply them directly to trading strategies, then please do apply More ❯

Paragon are partnered with one of the worlds most prominent quant hedge funds, looking to make a Senior Data hire in London to support HFT strategies. The focus here is on the best engineer, so the hire can come from trading, tech or the world of AI/start-ups. This data team helps to build … cloud based and scalable data-lakes for MFT and HFT quant teams, ingest vast amounts of data into the company, which can be used for quant research and model development. Stack: Python, AWS, S3, Airflow, SQL The role needs a talented data engineer who can build a scalable and bespoke data platform … but at the same time someone comfortable with communicating technical solutions to non technical investment staff. If you want the chance to harness your data skills and apply them directly to trading strategies, then please do apply 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 ❯

Copilot Studio and Azure OpenAI. Ensure interoperability across the broader Microsoft ecosystem, including Power BI, Power Automate, and Security Copilot. Define and enforce governance standards for Copilot usage, data access, and prompt management. Work closely with security and compliance teams to ensure adherence to organisational and regulatory requirements. Monitor and manage permissions, data boundaries, and responsible … identity management. Experience with Copilot Studio and building custom Copilot agents or plugins. Familiarity with REST APIs, JSON, OAuth, and integration patterns with enterprise systems (e.g., CRM, ERP, data lakes). Understanding of prompt engineering, grounding techniques, and responsible AI principles. More ❯

Copilot Studio and Azure OpenAI. Ensure interoperability across the broader Microsoft ecosystem, including Power BI, Power Automate, and Security Copilot. Define and enforce governance standards for Copilot usage, data access, and prompt management. Work closely with security and compliance teams to ensure adherence to organisational and regulatory requirements. Monitor and manage permissions, data boundaries, and responsible … identity management. Experience with Copilot Studio and building custom Copilot agents or plugins. Familiarity with REST APIs, JSON, OAuth, and integration patterns with enterprise systems (e.g., CRM, ERP, data lakes). Understanding of prompt engineering, grounding techniques, and responsible AI principles. More ❯

Position: Workday Integration Specialist – (12-Month Contract) Location : London or Basingstoke (Hybrid) About the Role This leading organisation is on a journey to modernise its technology landscape, leveraging data and digital solutions to drive operational excellence and deliver exceptional outcomes for our teams and customers. Our client is seeking an Integration Specialist to join their Business Technology team … a 12-month contract. Key Responsibilities Develop, validate, and implement near real-time and real-time integrations using Workday-native tools (Workday Studio, EIB, APIs). Collaborate with Data and Analytics teams to leverage Microsoft cloud technologies, particularly Azure Data Factory and Azure Data Lake. Maintain integration code repositories in Azure DevOps Assess business More ❯

Position: Workday Integration Specialist – (12-Month Contract) Location : London or Basingstoke (Hybrid) About the Role This leading organisation is on a journey to modernise its technology landscape, leveraging data and digital solutions to drive operational excellence and deliver exceptional outcomes for our teams and customers. Our client is seeking an Integration Specialist to join their Business Technology team … a 12-month contract. Key Responsibilities Develop, validate, and implement near real-time and real-time integrations using Workday-native tools (Workday Studio, EIB, APIs). Collaborate with Data and Analytics teams to leverage Microsoft cloud technologies, particularly Azure Data Factory and Azure Data Lake. Maintain integration code repositories in Azure DevOps Assess business More ❯

Position: Workday Integration Specialist – (12-Month Contract) Location : London or Basingstoke (Hybrid) About the Role This leading organisation is on a journey to modernise its technology landscape, leveraging data and digital solutions to drive operational excellence and deliver exceptional outcomes for our teams and customers. Our client is seeking an Integration Specialist to join their Business Technology team … a 12-month contract. Key Responsibilities Develop, validate, and implement near real-time and real-time integrations using Workday-native tools (Workday Studio, EIB, APIs). Collaborate with Data and Analytics teams to leverage Microsoft cloud technologies, particularly Azure Data Factory and Azure Data Lake. Maintain integration code repositories in Azure DevOps Assess business More ❯

Position: Workday Integration Specialist – (12-Month Contract) Location : London or Basingstoke (Hybrid) About the Role This leading organisation is on a journey to modernise its technology landscape, leveraging data and digital solutions to drive operational excellence and deliver exceptional outcomes for our teams and customers. Our client is seeking an Integration Specialist to join their Business Technology team … a 12-month contract. Key Responsibilities Develop, validate, and implement near real-time and real-time integrations using Workday-native tools (Workday Studio, EIB, APIs). Collaborate with Data and Analytics teams to leverage Microsoft cloud technologies, particularly Azure Data Factory and Azure Data Lake. Maintain integration code repositories in Azure DevOps Assess business More ❯

origination Master Control rooms Advertising signaling and insertion Distribution and monitoring Broadcast Headend Post production Media Archives and Asset Management Metadata Management Content QC, Localization and Preparation workflows Data Lakes & Data Science Content Monetization strategies Customer 360 and CDP Personalization A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not … we sell, how we deliver, or how we partner. BASIC QUALIFICATIONS - 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Bachelor's degree in computer science, engineering, mathematics or equivalent - Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud More ❯

Weareisseekinganexperienced DataArchitect topartnerwithleadingfinancialservicesclientsindeliveringinnovative,scalable,andsecuredatasolutions. Whatyoulldo: Collaboratewithclientstoassessdataneeds,designarchitectures,anddeveloproadmapsalignedtobusinessanddatastrategies. Translatebusinessrequirementsintorobust,compliant,andfuture-prooftechnicalsolutions. Designandimplementdatawarehousingsolutions,datalakes,andETLprocesses. Ensurealignmentofdataarchitecturewithorganisationalgoalsandregulatorystandards. Keepaheadofemergingtechnologiesandbestpracticesindataarchitecture,analytics,andcloudplatforms. Essential: Strongunderstandingofthefinancialservicesindustry. Extensiveknowledgeofscalable,efficient,andsecuredataarchitecture. Experiencewithdatawarehousing,datalakes,ETLprocesses. Proficiencyinlogicalandphysicaldatamodelling. Knowledgeofcloudplatforms(AWS,Azure,GoogleCloud,Snowflake). Excellentcommunicationandstakeholdermanagementskills. ProactiveapproachtoemergingtechnologiesandMicrosofttechstack. More ❯

large-scale training of multi-modal LLM/VLM/VLA systems integrating inputs such as vision, audio, proprioception, LiDAR, and point cloud data. Build end-to-end data pipelines : collect sim/tele-op logs, manage versioned data lakes, apply weak supervision, curate datasets, and run evaluation loops. Collaborate with MLOps and Data 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 ❯