1 to 25 of 56 Data Enrichment Jobs in England

engagements. Deep understanding of insurance processes and how to align technology to business priorities. Proven ability to lead architecture design from ideation to implementation. Understanding of integration patterns, APIs, data architecture, and vendor ecosystems. Excellent stakeholder management and communication skills with experience of engaging with senior stakeholders across teams for arriving at approved solutions. Keen interest in emerging market … to cloud-native architecture (AWS, Azure, or GCP). Experience in Agile or hybrid delivery environments. TOGAF or similar architecture certification. Knowledge of insurance ecosystem technologies (CRM, microservices architecture data enrichment, analytics platforms). WHY JOIN CAPCO? Because you are curious, because you want to know what is going on inside engaging projects with some of the largest More ❯

aligned with CSOC and MITRE ATT&CK framework Attend and represent the project at key technical forums (ADF, TDA, workshops) Deliver improvements to SIEM architecture, use cases, automation, and data enrichment Improve onboarding processes for directorates and manage onboarding QA Lead integration of SOAR, Attack Analyzer, and other tooling into operational use Standardise collection tier components using Infrastructure More ❯

automation and orchestration tools (e.g., SOAR platforms, scripting languages like Python, PowerShell) and have experience with integrating security tools (e.g., SIEM, EDR, firewalls) APIs, and Case Management tools for data enrichment. Responsibilities: Build security automations, logging, and SIEM detections to improve the CDO's efficiency, scalability, and incident response capabilities. Design, implement, and maintain automated workflows and playbooks to More ❯

Job Title: SAP MDG Solution Architect The Job You're Considering The Enterprise Data Management practice within the Insights and Data business unit of Capgemini; a global practice involved in Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics. The Enterprise Data Management provides services on Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management. We help our clients build an enterprise-class data platform that allows them to move ahead in their journey of data and insights. Primarily working with leading software vendors like SAP, Informatica, IBM, Oracle et al, the team are first and foremost Consultants, putting client requirements and … and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for a candidate who bring in senior leadership and expertise in SAP Master Data Governance (MDG), with experience and expertise around data domain knowledge of such as PP, SD, MM, FI/CO working as functional consultant, architect, or delivery lead. • Lead More ❯

Director Pam Angel We're a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We've made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We're proud of the journey we're on as a company and know that … Director Pam Angel We're a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We've made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We're proud of the journey we're on as a company and know that … microservice & event driven architectures. Experience leveraging CI/CD, DevOps, Infrastructure as Code. Experience in Relational and NoSQL database and understanding of modern ETL processes Experience in Underwriting, Fraud, Data Enrichment domain areas within Financial/Insurance industry. What we offer Join us and you'll find a different way of doing things. We call it the 4Cs. More ❯

Director Pam Angel We're a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We've made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We're proud of the journey we're on as a company and know that … microservice & event driven architectures. Experience leveraging CI/CD, DevOps, Infrastructure as Code. Experience in Relational and NoSQL database and understanding of modern ETL processes Experience in Underwriting, Fraud, Data Enrichment domain areas within Financial/Insurance industry. What we offer Join us and you'll find a different way of doing things. We call it the 4Cs. More ❯

Director Pam Angel We're a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We've made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We're proud of the journey we're on as a company and know that … microservice & event driven architectures. Experience leveraging CI/CD, DevOps, Infrastructure as Code. Experience in Relational and NoSQL database and understanding of modern ETL processes Experience in Underwriting, Fraud, Data Enrichment domain areas within Financial/Insurance industry. What we offer Join us and you'll find a different way of doing things. We call it the 4Cs. More ❯

architectures, pub-sub models, and asynchronous message flows. Development & Implementation. * Build and maintain Mule flows, subflows, and message processors using Anypoint Studio and Platform. * Design complex DataWeave transformations and data enrichment pipelines. * Configure and manage RabbitMQ clusters, exchanges, queues, bindings, and vhosts. * Develop Apache Camel routes and leverage EIPs like WireTap, Enricher, Splitter/Aggregator, and Dead Letter More ❯

and orchestration tools (e.g., SOAR platforms, scripting languages like Python, PowerShell, KQL) and have experience with integrating security tools (e.g., SIEM, EDR, firewalls) APIs, and Case Management tools for data enrichment. Key Skills and Experience Experience contributing to large-scale, sprint-based, security automation and detection engineering projects in a SOC/Cyber Defense or similar environment Recent hands More ❯

and orchestration tools (e.g., SOAR platforms, scripting languages like Python, PowerShell, KQL) and have experience with integrating security tools (e.g., SIEM, EDR, firewalls) APIs, and Case Management tools for data enrichment. Key Skills and Experience Experience contributing to large-scale, sprint-based, security automation and detection engineering projects in a SOC/Cyber Defense or similar environmentRecent hands-on More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: The Job You're Considering The Enterprise Data Management practice within the Insights and Data business unit of Capgemini; a global practice involved in Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics. The Enterprise Data Management provides services on Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management. We help our clients build an enterprise-class data platform that allows them to move ahead in their journey of data and insights. You’ll also be working closely with our SAP Packaged Based Solutions … employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Data Integration Designer role revolves around creating efficient, scalable, and reliable solutions for integrating and consolidating data from diverse sources into a unified format, enabling organizations to derive valuable More ❯

architectures, pub-sub models, and asynchronous message flows. Development & Implementation Build and maintain Mule flows, subflows, and message processors using Anypoint Studio and Platform. Design complex DataWeave transformations and data enrichment pipelines. Configure and manage RabbitMQ clusters, exchanges, queues, bindings, and vhosts. Develop Apache Camel routes and leverage EIPs like WireTap, Enricher, Splitter/Aggregator, and Dead Letter More ❯

architectures, pub-sub models, and asynchronous message flows. Development & Implementation Build and maintain Mule flows, subflows, and message processors using Anypoint Studio and Platform. Design complex DataWeave transformations and data enrichment pipelines. Configure and manage RabbitMQ clusters, exchanges, queues, bindings, and vhosts. Develop Apache Camel routes and leverage EIPs like WireTap, Enricher, Splitter/Aggregator, and Dead Letter More ❯

Description What We're Looking For: We are looking for a passionate Data Scientist specializing in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As a part of this role, you will work with experienced team members and product managers to design, test, and implement machine learning solutions. Through … years working experience OR a Master's Degree in Computer Science or a related field, with 0-2 years working experience. Programming Language: Proficiency in Python. Solid understanding of data structures and algorithms. Proficient in Machine Learning, including understanding Neural Networks and foundational concepts of NLP tasks such as Tokenization, Named Entity Recognition (NER), Sentiment Analysis, Part-of-Speech More ❯

Engineering: Contribute to security engineering projects, transitions, and transformations. Work closely with security operations and associated security incident response systems Stay informed about emerging threats and security best practices. Data Ingestion and Enrichment: Configure Elasticsearch pipelines for data ingestion from various sources, primarily from Kafka Enhance data enrichment by integrating threat intelligence feeds and contextual … work towards achieving these. Skills Required for the Role Security and Compliance with Elastic Security: Set up access controls, authentication, and encryption using Elastic Security features. Ensure compliance with data protection regulations. Detection Rule Development: Ability to create, test, and optimise detection rules to identify suspicious activities and potential threats based on the MITRE ATT&CK Framework Performance Tuning … with Elasticsearch and Logstash: Fine-tune query performance using Elasticsearch indices and mappings. Monitor Logstash pipelines and optimize resource utilization. Kibana Visualization and Monitoring: Leverage Kibana for data visualization, dashboards, and real-time monitoring. Create custom visualizations to track data quality metrics and system performance. Elastic integration Integration of the SIEM with critical systems to provide alerting, monitoring More ❯

Azure Data Engineer Manchester Up to £65k On behalf of our industry-leading client, we are recruiting for a talented Azure Data Engineer. As Azure Data Engineer, you will be working closely with Data Engineering, Business Services, and Technical Partners to create and integrate Azure Data Engineering pipelines transforming core systems data into knowledge. … The Azure Data Engineer will be responsible for: Working with other members of the Data Engineering team, you will actively participate in the design and development of processes and technologies that support secure and efficient data ETL, connecting to a variety of on- and off-premises data sources Ensure data is cleansed, mapped, transformed, and … otherwise optimized for storage, and to meet requirements for business and technical use cases Apply business and logic rules to derive insight from company data, and deliver these in real-time to the quote rating engine Generate and schedule data enrichment processes Develop effective, scalable solutions that can be efficiently tested, deployed, updated, maintained, and managed The More ❯

The Enterprise Data Management practice within the Insights and Data business unit of Capgemini; a global practice involved in Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics. The Enterprise Data Management provides services on Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management. We … help our clients build an enterprise-class data platform that allows them to move ahead in their journey of data and insights. You’ll also be working closely with our SAP Packaged Based Solutions team, collaborating closely and delivering world-class SAP implementations to large SAP customers. Hybrid working: The places that you work from day to day … going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service). Your Role We are seeking a candidate with proven experience in SAP data migrations with SAP Data Services and Syniti ADMM tooling. The ideal candidate will also possess robust functional and data domain expertise. As a consultant, you will not More ❯

Social network you want to login/join with: The Enterprise Data Management practice within the Insights and Data business unit of Capgemini; a global practice involved in Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics. The Enterprise Data Management provides services on Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management. We help our clients build an enterprise-class data platform that allows them to move ahead in their journey of data and insights. Primarily working with leading software vendors like SAP, Informatica, IBM, Oracle et al, the team are first and foremost Consultants, putting client requirements and industry best practices … Service) Your Role We are looking for a candidate who bring in senior leadership and expertise in the SAP technology stack. This includes (but not limited to) SAP Master Data Governance (MDG), SAP Data Services/Migration Cockpit, experience and expertise around data domain knowledge of such as PP, SD, MM, FI/CO working as functional More ❯

hands-on engineering role with cross-functional engagement across detection teams, infrastructure, and threat response. Key Responsibilities Engineer and maintain security tooling, including: Microsoft Sentinel – connector management, rule tuning, data enrichment Microsoft Defender solutions (Endpoint, Identity, Cloud Apps) Develop and refine detection logic using KQL, and implement SOAR playbooks via Logic Apps. Integrate data sources from hybrid More ❯

hands-on engineering role with cross-functional engagement across detection teams, infrastructure, and threat response. Key Responsibilities Engineer and maintain security tooling, including: Microsoft Sentinel – connector management, rule tuning, data enrichment Microsoft Defender solutions (Endpoint, Identity, Cloud Apps) Develop and refine detection logic using KQL, and implement SOAR playbooks via Logic Apps. Integrate data sources from hybrid More ❯

lead a team of revenue operations analysts in driving processes and providing daily operational support and enablement to sales teams and partners Drive Sales Engagement, Training/Enablement/Data Enrichment, Customer Relationship Management, Configure Price Quote, Analytics and Commissions Instrument, measure and improve processes across the entire revenue operations spectrum Deliver metrics and reporting to monitor and … improve revenue operations effectiveness, including new leads, pipeline, velocity, sales productivity and renewals. Use this data to drive insight, manage territories and channels, improve productivity, and agree and implement actionable change with executive management through regular sales and business reviews. Oversee our sales technology and processes, driving automation and process improvements and partnering with our commercial systems engineering team … improve business systems and integration Lead the introduction of new products, pricing, packaging and bundling through systems that are easy for sales and partners to navigate and quote Drive data quality, through order processing, new hire training, process documentation, reporting and data cleansing Lead and enhance our commercial review process for evaluating and steering sales and alliance opportunities More ❯

a little about why you are interested in working for Pod and what qualities you would bring to our team. Responsibilities You will be responsible for: Support the CRM & Data proposition at The Marketing Pod including supporting growth of the service area, new product development, new business and managing the day to day deliverables of the data and … CRM service. Hands-on delivery of client data projects including recommendations on marketing data strategy and marketing insights. Supporting CRM/martech/salestech personnel to lead on our data and CRM proposition. Supporting the day to day management of B2B marketing data within CRM environments including: Data acquisition/build via data suppliers … or bespoke building using open source or third party data and tools such as LinkedIn Sales Navigator/Cognism Segmentation to build accurate and highly targeted campaign ready data lists CRM management (campaign tracking, data governance, data transformation and formatting etc) Compliance management and reporting Data visualisation and reporting utilising a suite of tools Data More ❯

Get AI-powered advice on this job and more exclusive features. Machine Learning, Data Science, MLOps, Software Development, Python, Javascript, Financial Data Who are we? Moneyhub empowers financial services firms with complete, detailed, and real-time insight into their customers' financial needs and status, enabling them to take informed actions. Our highly categorized, data-enriched analytics allow … clients to craft personalized customer journeys, leading to enhanced engagement, optimized acquisition and servicing costs, and increased conversion rates. Machine Learning, Data Science, MLOps, Software Development, Python, Javascript, Financial Data Who are we? Moneyhub empowers financial services firms with complete, detailed, and real-time insight into their customers' financial needs and status, enabling them to take informed actions. … Our highly categorized, data-enriched analytics allow clients to craft personalized customer journeys, leading to enhanced engagement, optimized acquisition and servicing costs, and increased conversion rates. As an enterprise B2B2C company, our clients roll out our technology to improve their customers journey and enhance their financial outcomes. We do this through an API-first approach that streamlines access to More ❯

role in driving our AI journey, helping intelligent org design become an everyday reality. Lead the technical delivery of, and help define, mission-critical AI initiatives - driving value through data enrichment and intelligent automation. Collaborate within a balanced, cross-functional team to design, develop, and deploy AI capabilities that enhance data quality and assist some of the … models across a range of use cases, including structured and unstructured data. Work closely with Product Managers to shape the roadmap, clarify expectations, and translate customer needs into intelligent, data-driven solutions. Build and evolve internal tooling and frameworks to accelerate AI experimentation, deployment, and monitoring - enabling others to move faster and safer. Contribute to the ongoing development of … simplify our platform and expand our product capabilities. Requirements Desired Skills & Experience: Proven experience delivering machine learning or AI-powered features into production, ideally in a B2B SaaS or data-rich environment. Strong background in machine learning, data science, or applied AI, with hands-on experience in model development, evaluation, and deployment. Proficiency with relevant ML libraries and More ❯

role in driving our AI journey, helping intelligent org design become an everyday reality. Lead the technical delivery of, and help define, mission-critical AI initiatives - driving value through data enrichment and intelligent automation. Collaborate within a balanced, cross-functional team to design, develop, and deploy AI capabilities that enhance data quality and assist some of the … models across a range of use cases, including structured and unstructured data. Work closely with Product Managers to shape the roadmap, clarify expectations, and translate customer needs into intelligent, data-driven solutions. Build and evolve internal tooling and frameworks to accelerate AI experimentation, deployment, and monitoring - enabling others to move faster and safer. Contribute to the ongoing development of … to intelligent systems as we simplify our platform and expand our product capabilities. Desired Skills & Experience: Proven experience delivering software features into production, ideally in a B2B SaaS or data-rich environment. Dedicated to driving best practise within the SDLC, including quality, observability, CI/CD, SOLID and Design Patterns. Strong background in software engineering with hands-on experience More ❯