1666 jobs found

Job Title: Cyber Risk, Standards & Governance SME Salary: £110,000 + Benefits and Bonus Location: London Employment Type: Perm, Hybrid About the Role This leading Financial Services Business are seeking a proactive and detail-driven Cyber Risk, Standards & Governance SME to help strengthen and mature our cybersecurity posture across the organisation. In this critical role, you'll ensure our technology environment remains resilient by developing, maintaining, and governing robust security policies, standards, and frameworks. You will act as a trusted advisor across security, engineering, risk, and audit teams-ensuring that security requirements are practical, well-understood, and aligned with business goals. Your work will directly contribute to reducing cyber risk exposure, maintaining regulatory compliance, and enabling the organisation to innovate securely. Why This Role Matters You will help protect the organisation's most important assets-its data, systems, and reputation-against emerging threats. You'll ensure ongoing compliance with regulatory requirements and industry standards including ISO 27001 and SOC 2 , helping minimise audit findings. Your governance and oversight will drive secure business growth and operational excellence. You will enhance stakeholder confidence by demonstrating a strong, proactive, and well-managed approach to cyber risk. Key Responsibilities Review, update, and maintain Information Security Policies and Standards , ensuring alignment with Enterprise Risk Management and regulatory expectations. Provide expert guidance on policy and standard development, implementation, and communication. Work with stakeholders to drive adoption of security controls across technologies and applications. Coordinate all compliance activities for external audits and certifications (eg, SOC 2, ISO 27001 ), including preparation, reporting, and remediation follow-up. Deliver assurance that key security risks are identified, mitigated, and monitored effectively. Conduct periodic reviews of cyber and information security risks and support prioritisation of remediation efforts. Support Enterprise Risk Management processes, including control attestations, risk committee participation, and management of issues and events. Evaluate the effectiveness of security controls and track remediation of identified deficiencies. Track, analyse, and report on Key Risk Indicators (KRIs) . Provide inputs to the Information Security Committee and ensure timely follow-up on actions. Ensure Information Security projects adhere to internal governance standards and are tracked consistently. Represent Security in risk reviews across assets, vendors, and applications, including inherent and residual risk assessments. Perform security risk and gap assessments for infrastructure, applications, third parties, and vendors. Develop and support risk remediation strategies across global teams. Provide subject-matter expertise on information risk to business units and technical stakeholders. About You: Skills & Experience Essential Proven experience in Information Security and Risk Management within large or complex organisations. Strong ability to advise and make informed decisions across cyber and technology risk issues. Demonstrated capability to analyse, consolidate, and report on risk and security themes. Solid understanding of key frameworks: ISO 27001, SOC 2, NIST, CIS Benchmarks, OWASP . Familiarity with audit principles and risk assessment methodologies. Extensive experience across IT and Security Risk Management disciplines. Excellent communication skills and the ability to build strong relationships with senior stakeholders. Highly organised, with the ability to work independently and manage competing priorities. Desired Professional certifications such as CISSP, CISA, CRISC, CEH . Experience with GRC platforms and governance-related initiatives. Background in financial services or other regulated industries. We invite individuals from underrepresented groups to apply for any of our roles and are committed to supporting accessibility needs.

Lead Databricks Engineer - Hybrid - Permanent Overview We are seeking an experienced Lead Azure Databricks Engineer to design, build and optimise our enterprise data platforms. The role requires deep technical expertise, strong delivery capability and experience working in highly regulated environments within the Lloyd's of London market. You will play a key role in shaping our cloud data platform, enabling advanced analytics and ensuring secure, scalable and reliable solutions across the organisation. This is a fully hands-on engineering role. Key responsibilities Design and build enterprise data platforms using Microsoft Azure services including Azure Data Factory, Azure Data Lake Storage, Azure Key Vault, Azure Functions and Azure Databricks Develop scalable pipelines using Delta Lake, PySpark and Unity Catalog Work with underwriting, actuarial, delegated authority, bordereaux, exposure management, reinsurance, finance and risk teams to deliver solutions aligned to Lloyd's market requirements and regulations including Solvency II Translate business requirements into scalable cloud data solutions with architects, SMEs and product owners Lead the resolution of complex technical challenges and drive delivery Promote best practices in data engineering, cloud architecture, CI/CD and data life cycle management Provide technical leadership and mentoring to engineers Improve platform performance, resilience, cost efficiency and observability Deliver reliable, high quality data pipelines across the platform Required experience and skills Strong engineering experience with Microsoft Azure data services and Azure Databricks in large scale environments Deep knowledge of Delta Lake, medallion architecture, distributed compute and lakehouse data platforms Strong development skills in Python, PySpark and Spark SQL Experience implementing CI/CD for data platforms using Azure DevOps Knowledge of data governance, lineage, access control and secure cloud engineering Excellent communication skills and ability to work with senior stakeholders Proven delivery mindset with strong ownership and accountability in fast paced environments To apply for this role please submit your CV or contact Dillon Blackburn (see below) Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Role Title: Lead Cyber Risk Consultant Duration: contract to run until 30/10/2026 Location: Knutsford, Hybrid 3 days per week onsite Rate: up to £511.29 p/d Umbrella inside IR35 Role purpose/summary The Lead Cyber Risk Consultant will spearhead the EOL risk assessment project, providing strategic direction and oversight. In this role, you will lead a comprehensive evaluation of cybersecurity risks associated with End-of-Life technologies across the bank and apply a new cyber risk methodology to assign risk ratings. You will identify opportunities to reduce residual risk in obsolete systems, and guide remediation efforts through to successful transition into BAU processes. This position requires excellent leadership, communication, and stakeholder management to coordinate between technical teams and senior management. Key Responsibilities : Lead Risk Assessments : Plan and conduct a full stock assessment of EOL technologies within the bank, utilizing the new cyber risk methodology to evaluate and rate risks. Ensure the assessment covers all in-scope systems and aligns with the Client's governance frameworks and risk policies. Risk Rating & Analysis : Oversee the analysis of identified vulnerabilities and weaknesses, and produce risk ratings and reports that clearly prioritize risks to the organization. Use strong analytical judgment to make risk-based recommendations, ensuring that risk findings are documented and actionable. Residual Risk Reduction : Identify and recommend risk mitigation opportunities to reduce residual risk in Legacy platforms and applications. This includes advising on possible compensating controls or quick wins to address high-risk EOL items. Remediation Planning : Collaborate closely with technology owners and engineering teams to develop remediation plans and prioritize fixes or upgrades for EOL systems1. Provide guidance on remediation pathways (eg system upgrades, migrations, decommissioning) and ensure plans are feasible and aligned with business priorities. Project Leadership & Coordination : Coordinate the efforts of the Cyber Risk Analysts (and any other team members), assigning tasks and monitoring progress. Provide mentorship and technical guidance to the analysts, and review their assessment outputs for quality and consistency. (Acts as a small team manager - able to work independently while managing a team as needed.) Stakeholder Engagement : Serve as the primary point of contact for stakeholders (eg Cybersecurity management, IT owners, Risk committees). Communicate risk findings and status updates in a clear, business-oriented manner. Prepare and present risk assessment reports and remediation progress to both technical and non-technical audiences, including mid-level management and potentially CISO or 2nd Line Risk functions. Transition to BAU : Ensure that remediation activities and improved risk practices are handed over smoothly to the permanent operational teams. Support the development of any process changes (eg updates to Technology Lifecycle Management reporting or risk oversight processes) so that continuous management of EOL risks is Embedded into BAU. Provide knowledge transfer and documentation to internal staff as needed. Required Skills & Competencies: Cyber Risk Expertise : Deep knowledge of cyber risk management practices, including risk assessment methodologies and frameworks (eg NIST CSF, ISO 27005, FAIR). Ability to identify, classify, and prioritize cybersecurity risks in a large enterprise environments. Technical Understanding : Strong understanding of IT infrastructure and applications, especially the challenges posed by End-of-Life technologies (outdated operating systems, unsupported software, Legacy hardware). Capable of evaluating technical dependencies and security implications of obsolete systems xx. Analytical & Methodological Skills : Advanced analytical skills ("cyber analytics'), including proficiency with risk analysis tools or GRC platforms for tracking risk items. Comfortable analysing data (eg asset inventories, vulnerability scan results) to quantify risk levels and support data-driven decision making. Leadership & Coordination : Proven ability to lead a team or project in a cybersecurity context. Excellent organizational skills to manage multiple parallel workstreams (risk assessment phase, remediation phase, reporting, etc.), ensuring milestones are met on time. Communication & Stakeholder Management : Exceptional communication skills, both written and verbal. Able to translate technical risk issues into business terms and present findings/recommendations to stakeholders at various levels2. Strong stakeholder management and negotiation skills to drive consensus on remediation priorities and resource allocation. Problem-Solving : Adept at solving complex problems and devising risk mitigation strategies. Can balance security requirements with operational practicalities, recommending solutions that reduce risk while enabling business objectives. Adaptability : Flexibility to work with both onshore and offshore teams. If offshore, willingness to align part of your working hours to UK business hours for effective collaboration3 4. Qualifications & Certifications: Certifications : Industry-recognized certifications in cybersecurity/risk are highly desirable. Examples include CISSP, CISM (information security management), and especially CRISC (Certified in Risk and Information Systems Control) or CISA for IT risk control. These certifications demonstrate a solid foundation in managing enterprise IT risks and controls. Framework Knowledge : Familiarity with relevant security standards and regulations. Knowledge of ISO 27001 information security management and risk assessment standards, NIST cybersecurity framework, and banking industry regulations or guidelines for operational risk/cyber risk is beneficial. Other : Any certifications in cloud security or technical areas are a bonus if EOL systems span on-prem and cloud (eg AWS/Azure security certifications), as well as project management certifications (eg PRINCE2, PMP) which can aid in managing the engagement. Experience : Years of Experience : Approximately 8-10+ years of experience in cybersecurity, with a significant portion in cyber risk management or security consulting roles. Prior experience leading risk assessment projects or large-scale security consulting engagements is expected. Domain Experience : Demonstrated experience in conducting risk assessments, security audits, or vulnerability management in complex IT environments. Experience should include evaluating technology life cycle issues, such as dealing with outdated systems or large-scale remediation programs, ideally within a financial services or highly-regulated industry. Project Leadership: Past roles should reflect the ability to manage or coordinate security projects and to work cross-functionally (eg, working with IT infrastructure teams, application owners, and governance/Risk functions). Evidence of successfully driving risk remediation initiatives or advising on risk treatment plans is important. Financial Industry Experience (Desirable ): Experience in the banking or financial services sector is highly desirable, given the Client's context. Familiarity with financial industry cybersecurity challenges, regulatory requirements (eg operational resilience, data protection, Basel/BCBS guidance on risk), and typical bank technology environments will enable faster onboarding and credibility. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Senior Azure SaaS Reliability & Support Engineer Hybrid We are recruiting on behalf of a well-established B2B SaaS organisation delivering highly available, business-critical platforms to enterprise customers. The company operates both single-tenant (ST) and multi-tenant (MT) Azure environments , supporting a diverse client base with strict availability, performance, and security requirements. They are now seeking a Senior Azure Reliability & Support Engineer to take technical ownership of platform health, incident response, and reliability engineering across their Azure estate . Due to the nature of the platform and customers, extensive background and security checks form part of the hiring process . Key Responsibilities: Monitor ST and MT environments for performance, availability, and application health Lead investigation and resolution of complex production incidents Provide third-line support for escalated customer issues Perform root cause analysis and drive permanent fixes Maintain uptime, scalability, and reliability across all Azure deployments Define and track SLOs and error budgets Carry out capacity planning for Servers, databases, and storage Build automation and self-healing solutions using PowerShell, C#, Azure Functions, and Logic Apps Develop and maintain Azure monitoring and reporting dashboards Contribute to post-incident reviews, runbooks, and continuous improvement initiatives Required Experience: 3+ years in third-line support, SRE, or cloud operations within enterprise SaaS Strong incident management and RCA experience Experience supporting single-tenant and multi-tenant architectures Solid background in: C#/.NET Core/MVC SQL Server Azure Blob Storage Advanced Azure monitoring and diagnostics: Application Insights Azure Monitor Log Analytics KQL Strong SQL investigation skills Automation and Scripting with PowerShell and/or C# Good understanding of Azure services: App Services, VMs, Azure SQL, Storage, scaling Tech Stack: Azure Monitor | Application Insights | Log Analytics | KQL | Azure Functions | Logic Apps | PowerShell | C# | SQL Server | Power BI Senior Azure SaaS Reliability & Support Engineer Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Go-Lang Backend Developer - Inside IR35 - Remote About the Role We are looking for an experienced Go Developer who is excited about working at the frontier of AI-assisted software development . This role is ideal for engineers who actively use AI coding tools and are comfortable building software in an environment where the development process evolves rapidly. Our team builds systems in a modern AI-native workflow , where tools like Claude and Cursor are core parts of the development environment. You will work on new products in a space that is changing every day , experimenting with emerging capabilities in AI to accelerate development and create better software. Being part of this team means staying at the cutting edge of AI , continuously learning about the latest breakthroughs, tools, and techniques shaping the future of engineering. Key Responsibilities Design, build, and maintain Back End services using Go (Golang) . Develop scalable systems, APIs, and infrastructure that support AI-enabled products. Work within an AI-augmented development workflow , leveraging tools such as Claude and Cursor for coding, debugging, and ideation. Rapidly prototype and iterate in a fast-moving environment where new technologies emerge frequently. Collaborate closely with engineers, AI specialists, and product teams to deliver innovative solutions. Evaluate and integrate new AI tools and frameworks that improve engineering productivity. Requirements Strong professional experience developing software in Go (Golang) . Experience working with AI-assisted coding tools or modern AI development workflows. Comfortable using tools like Claude, Cursor, or similar AI-driven coding environments . Solid understanding of Back End architecture, APIs, and distributed systems. Ability to thrive in a fast-moving, experimental environment where technology evolves quickly. Strong problem-solving skills and a passion for learning new tools and techniques. Nice to Have Experience building developer tools, AI infrastructure, or coding platforms . Familiarity with LLM APIs and AI model integration. Experience with cloud platforms and containerized environments. Interest in AI-native software engineering workflows . To apply for this role please submit your CV or contact Dillon Blackburn (see below) Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Lynx Recruitment is supporting an established, high-growth digital transformation consultancy seeking a Senior Business Analyst to lead AI-first process redesign initiatives across enterprise clients. This role sits at the forefront of AI-driven transformation, focusing on re-engineering Legacy business processes using Microsoft AI technologies, including M365 Copilot and the Power Platform. The successful candidate will play a key role in helping organisations transition toward intelligent, automated, and data-driven operating models. Key Responsibilities: Lead strategic discovery sessions with senior stakeholders to identify AI-driven transformation opportunities Analyse and map As-Is processes and design To-Be AI-first solutions Facilitate workshops and translate business requirements into detailed user stories, process flows, and functional specifications Build robust business cases, including cost-benefit analysis and ROI projections Define KPIs and ensure measurable value delivery Support implementation, change management, and continuous optimisation initiatives Requirements: 7+ years' experience as a Business Analyst or in Management Consulting within IT Professional Services or Digital Transformation Strong experience engaging with senior stakeholders, including C-suite Systems-thinking mindset with the ability to understand end-to-end enterprise data flows Minimum 2:1 in an IT/Technology-related degree Full right to work in the UK (no sponsorship available) This is an opportunity to join a forward-thinking organisation driving meaningful AI adoption across major enterprises, offering strong career progression and exposure to cutting-edge technologies. For a discussion or to express interest, please apply directly.

Analytics Platform Engineer (Python, Kubernetes) - Secure Gov - Cheltenham - (RL8096) Job Title - Analytics Platform Engineer (Principle & Senior) Location - Cheltenham Salary - Competitive Benefits - Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission-critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client - We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission-critical solutions. Operating at the forefront of data, cloud, and AI-driven innovation, they offer an environment where engineers can work on complex, high-impact challenges with real-world significance. The Candidate - This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data-driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role - We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high-impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full life cycle from development through to deployment and ongoing optimisation. This is a hands-on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms Contribute across the full software development life cycle Support cloud migration and data management initiatives Develop, test and deploy new platform capabilities Troubleshoot and enhance existing analytics services Provide hands-on support to Data Scientists and MLOps teams Tackle complex engineering challenges across a varied tech stack Requirements: Strong experience with Python Experience with Kubernetes and Docker Understanding of CI/CD pipelines (eg GitLab) Exposure to data platforms, MLOps or machine learning environments Desirable: Spark or Scala AWS services (eg S3) Elasticsearch or graph databases Vector databases/modern data tooling OIDC/OAuth Node.js or React To apply for this Analytics Platform Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.

Senior .NET Developer Devon (Hybrid-working - minimum of 2 days in the office, meaning you must be based locally) c£55,000 to £65,000 per year Pension, Bonuses, Training and Development, etc. Skills and Experience: Expertise in C#, .NET Core, REST API design and backend architecture. Strong SQL skills with the ability to create performant, reliable database logic. Strong understanding of ORM patterns, data mapping strategies and trade-offs between ORMs and stored procedure-driven access. Ability to lead architectural decisions and evolve backend engineering practices. Excellent troubleshooting, debugging and performance optimisation skills. Strong communicator, able to collaborate effectively with engineering, product and offshore teams. Experience integrating services into CI/CD pipelines (GitHub Actions or Azure DevOps). Familiarity with clean architecture, domain-driven design, or similar engineering patterns. Understanding of containerisation workflows (Docker) and AKS operational concepts. Mentoring experience or leadership within engineering teams. Exposure to API testing practices or support for integration testability. The Opportunity: My client based are a Software house based in Devon and they are currently looking for a Senior .NET Developer on a permanent basis. In this role, the Senior .NET Developer will play a key role in designing, developing and maintaining backend services and APIs that power my client s platform. This role includes significant responsibility for backend architecture, coding standards and improving engineering practices across the team. You will be working with modern .NET Core patterns, contributing to SQL development and collaborating closely with front-end teams to enable high-quality product delivery at all times. This role will help strengthen the overall backend foundation as they look to mature their SDLC and engineering capabilities. Applications: Please contact John Noonan here at ISR Recruitment to understand more about our client leading the way in delivering the very latest in technical solutions for their clients from their offices in Devon?

Data Platform Consultant (SC Cleared) Corsham (Wiltshire) 6 Month Contract £450/day (Outside IR35) Data Platform Consultant needed with active SC Security Clearance and strong Tableau + AWS Cloud expertise. 6 Month Rolling Contract based in Corsham (Wiltshire). Start ASAP in March/April 2026. Hybrid Working - 3 days/week remote (WFH) + 2 days/week working from the office in Corsham (Wiltshire). A chance to work with a leading global IT and Digital transformation business specialising in large-scale Government projects: Project Objective: design, build + implementation of a cloud based Data Analytics platform to provide data workflow, data visualisation + dashboard solutions. Key Skills: Tableau, Power BI + Apache Superset dashboard + data visualisation tools. AWS / Cloud Native Infrastructure environments. Python / R-style workflow development environments, SQL querying + data transformation skills. Hands-on experience with secure, cloud-based Data Analytics platforms. Supporting definition of the POC scoping, success criteria + value proposition. Shaping the technical path from POC to MVP considering scalability, security, governance + reuse. Supporting build, configuration + implementation activities alongside developers + data engineers. Ability to simplify complexity + communicate technical trade-offs clearly to key stakeholders. In-depth experience in Data Engineering, Data Analytics platforms and Data Science. Identity Access Management (IAM/IDAM) experience would be advantageous.

Digital Business Analyst Position Overview We are seeking a skilled Digital Business Analyst to bridge the gap between business needs and technology solutions. The ideal candidate will leverage data analytics, process optimisation, and digital transformation expertise to drive business value through technology initiatives. Pay Rate: 500 - 600 Duration: 6 months Temporary Location: London / Warwick Working Pattern: Hybrid - 1 to days a month in the office Start date: ASAP Key Responsibilities Analyse complex business processes, systems, and user requirements to recommend digital solutions that drive efficiency and innovation Gather and document business requirements through stakeholder interviews, workshops, and surveys Create detailed functional specifications, user stories, and process flows for development teams Conduct data analysis to identify trends, patterns, and opportunities for process improvement Facilitate communication between technical teams and business stakeholders Develop and maintain project documentation, including requirements documents, user guides, and training materials Monitor and report on project progress, risks, and issues Support user acceptance testing and coordinate system implementations Evaluate emerging technologies and their potential business applications Responsibilities Requirements Gathering and Documentation Collaborate with stakeholders (project managers, technical teams, end users) to gather detailed business and technical requirements. Document both functional and non-functional requirements clearly for CDE and BIM platform use. Stakeholder Management and Communication Facilitate communication between business teams (architects, engineers, contractors) and technical teams (software developers, IT support). Manage expectations, negotiate priorities, and ensure alignment on project objectives and digital workflows. Process Analysis and Improvement Map and analyze existing workflows related to data management and BIM processes. Identify inefficiencies or gaps in data handling, collaboration, and system integration. Recommend enhancements to increase efficiency, accuracy, and collaboration using CDE and BIM tools. Data Analysis and Quality Assurance Support data integrity and quality by ensuring that CDE workflows enforce standards for data input, version control, and approvals. Collaborate on developing test plans and assist in user acceptance testing (UAT) to validate that BIM software and CDE platforms deliver expected functionality. Solution Validation and Support Work with IT and CDE/BIM specialists to validate that technical solutions meet business needs. Provide training support and documentation for users in handling BIM data, collaboration workflows, and CDE systems. Address ongoing issues post-implementation, enabling smooth adaptation to new digital environments. Preferred Experience Experience with enterprise software implementations Knowledge of UX/UI design principles Familiarity with project management methodologies (Agile, Scrum, Waterfall) Experience in energy sector Technical Skills Business process modeling tools (e.g., Visio, Lucidchart) Requirements management tools (e.g., JIRA, Azure DevOps) Data analysis and visualization platforms Microsoft Office Suite (advanced Excel skills required) Basic understanding of programming concepts and database structures Soft Skills Strategic thinking and problem-solving Excellent stakeholder management Strong attention to detail Team collaboration and leadership Adaptability and willingness to learn Time management and prioritisation Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Are you ready to make your mark in the world of Formula 1? At Formula 1, we are passionate about delivering the world s greatest sports and entertainment spectacle leaving a positive legacy wherever we race. Innovation has always been at the heart of what we do ever since our first Grand Prix in 1950. Now, 75 years on, the sport remains a pioneer, developing technologies that have made a significant impact on society beyond the track. Everything you see on screen or at an event comes via our passionate and dedicated people. Whether its engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications there is always a talented team working to maximise the potential of the sport. Role Overview: We are seeking an established Business Analyst (BA) to bridge business needs and technology solutions by eliciting, analysing and documenting clear, testable requirements throughout the delivery lifecycle. Working across business and technical teams, you will shape functional and data requirements, support governance-aware analysis (including customer data considerations), and help teams evidence success through practical metrics and reporting. In this role, you will work with stakeholders from across the organisation to capture and validate requirements for new and existing systems and applications, ensuring solutions improve customer outcomes, operational effectiveness and delivery performance. Working Closely With Project and Programme Management, Business Stakeholders and Functional Leads, Technical Architects, SMEs, Operations/Support teams, Partners and Suppliers (3rd Parties). Main Duties and Responsiblities: Requirement Gathering: Collaborate with stakeholders to capture functional and data requirements and validate the underlying business need. Use appropriate elicitation techniques (e.g., interviews, workshops, document analysis, BABOK techniques) to ensure accurate and complete requirements capture. Structure requirements using practical frameworks and models (e.g., process maps, epics, user stories, user journeys, BABOK techniques) to maintain clarity and alignment to business goals. Document and validate requirements using agreed standards and formats, facilitating stakeholder review for completeness, feasibility and testability. Support prioritisation and lifecycle management of requirements, maintaining traceability and supporting change control where required. Work closely with architects, developers and testers to ensure requirements are understood, implemented and verified correctly. Analysis and Documentation: Analyse business roles, processes and workflows to identify inefficiencies, gaps and opportunities for improvement. Contribute to business case development and options analysis by providing evidence-based insight on benefits, costs, risks and implementation considerations. Support interpretation of high-level data and solution designs by identifying required data sources and recognising upstream/downstream dependencies. Define and size solution requirements through clear use cases, epics, user stories and acceptance criteria, maintaining traceability from business need to delivery. Produce clear visual artefacts (e.g., process flow, data flow and integration views) to support stakeholder understanding, solution design and delivery planning. Ensure documentation is version-controlled, appropriately peer-reviewed, meets company standards, and is maintained throughout the project lifecycle to support change management and auditability. Stakeholder Management: Act as the link between business stakeholders, technical teams and delivery functions to keep analysis outputs aligned to project objectives and outcomes. Communicate effectively between parties, translating needs and requirements to ensure shared understanding at the right level of detail. Maintain effective stakeholder engagement by setting expectations, surfacing risks/issues early and providing structured updates on analysis progress and decisions. Support governance and assurance activities by ensuring business analysis deliverables are well-documented, traceable and available for review. Solution Definition: Work with internal teams and external suppliers to shape solutions that align with functional, data and technical requirements. Support evaluation of solution options to ensure they are practical, cost-effective and consistent with strategy, technology standards and delivery constraints. Contribute to design reviews by checking traceability from business need to solution design, and ensuring governance, security and data-quality considerations are reflected. Support customer-data solutions by recognising platform environments and cross-system data flows, and by incorporating validation controls into requirements and acceptance criteria. Identify solution and data risks early (e.g., data quality impacts, integration dependencies) and work with teams to mitigate and optimise outcomes. Testing and Validation: Work with the Technical and Functional Leads to confirm what is needed for testing for each delivery and to ensure requirements are testable and measurable. Support User Acceptance Testing (UAT) by preparing test scenarios/acceptance criteria, coordinating stakeholder participation and capturing outcomes. Document, track and triage defects and issues, working with delivery teams to resolve and retest in a timely way. Maintain requirement traceability through testing and readiness activities, providing concise summaries of outcomes and residual risks. Project Support: Support delivery teams by helping resolve issues, manage dependencies and adapt analysis artefacts to change while maintaining alignment to objectives. Assist with readiness and adoption activities (e.g., communications, training inputs, post-launch reviews) to support successful implementation. Use practical metrics and dashboards to help teams evidence progress and outcomes and to inform recommendations for improvement. Use PPM tooling outputs where relevant to help communicate status, dependencies and deliverables to stakeholders. What Are We Looking For? Education & Certification Bachelor s degree in Business Administration, Information Technology, Computer Science, or a related field. BCS or similarly recognised Business Analysis certification (e.g., IIBA, PMI-PBA). Professional Experience Recent demonstrable experience as a Business Analyst delivering requirements elicitation, analysis, documentation and validation on technology/digital initiatives. Proven ability to collaborate effectively with cross-functional stakeholders and communicate clearly across business and technical audiences using a variety of tools, methods and techniques. Experience defining and using metrics/dashboards to support reporting, recommendations and decision-making. Working understanding of data governance and validation controls, particularly where customer data and cross-system integrations are involved. Awareness of project delivery frameworks, delivery lifecycles and reporting standards; able to contribute to planning and reporting for defined delivery activities. Experience supporting hybrid environments (on-premise and cloud) and familiarity with CRM platforms (e.g., Salesforce, Dynamics 365) is beneficial. Personal Attributes Open, collaborative and confident communicator, able to adapt style, methods, and detail to different audiences. Strong analytical and problem-solving skills, able to employ various requirements elicitation techniques, with a focus on practical outcomes and traceability. Highly organised and detail-oriented, able to manage multiple concurrent priorities. Comfortable working with ambiguity and changing priorities, while maintaining clarity and delivery focus. Able to work independently and as part of cross-functional teams in a fast-paced environment. Why join the force behind the sport? Joining F1 means becoming part of a team that values innovation, collaboration and personal growth. We offer a dynamic work environment where ideas are heard, and employee contributions truly make an impact. We seek to recruit, develop, and retain the most talented people to play their role in accelerating the future of the sport. As a member of the F1 team, you will be able to access our amazing benefits: Private Healthcare scheme & dental care 4 x Grand Prix Paddock passes per season Enhanced maternity/paternity leave and other family planning policies A free staff shuttle service running to and from surrounding trains stations near to Biggin Hill Free healthy snacks in our offices & subsidised canteen in Biggin Hill, serving breakfast and lunch 25 days annual leave and 8 Bank Holiday days, plus a Christmas period closure Opportunities to develop and request training for your role via our in-house Learning and Development team Discount on F1 merchandise & discount at F1 s experiences including F1 Arcade and F1 Drive Perkbox benefit portal and more

The Opportunity: You'll join an experienced, collaborative consultancy team delivering greenfield, enterprise-scale digital services for high-profile public and private sector clients. This opportunity is ideal for a practical, adaptable Geospatial Software Engineer who enjoys working across disciplines and solving complex problems and challenges that will have a real-world impact. Collaboration sits at the heart of how our client operates, so you'll be partnering closely with colleagues across Software Engineering, User-Centred Design, Delivery Management, Data Science and Live Services to deliver outcomes that genuinely make a difference in today's society. As a consultancy, they are technology-agnostic by design, focusing on choosing the right tools for each problem, rather than forcing one stack everywhere. Their teams regularly work with .NET, Java, Python, Node.js, AWS and Azure, giving you genuine scope to broaden your skills and develop your career across a range of languages and platforms. Many of their projects also involve Geographic Information Systems (GIS) and open-source geospatial technologies, helping clients unlock the value of location-based data through mapping, spatial analysis and data-driven decision making. Skills and Experience: Essential 3+ years' experience in a Full Stack Engineering role Strong development skills in .NET, Java or Python, alongside modern JavaScript frameworks/libraries Experience working in Agile environments (Scrum, Kanban, TDD) Solid understanding of architectural and design patterns, including microservices and serverless Hands-on experience designing and delivering solutions on AWS or Azure Experience working with GIS systems or geospatial data, and familiarity with tools such as Leaflet, OpenLayers, QGIS, GeoServer, PostGIS, etc. A collaborative mindset and experience working in multi-disciplinary teams Desirable Experience working in a consultancy environment Exposure to public sector projects Familiarity with CI/CD tooling (eg Jenkins, Terraform) Awareness of the Digital Service Standard and Technology Code of Practice, particularly in geospatial or public sector contexts Role and Responsibilities: This is a varied role suited to someone who enjoys the pace, responsibility and collaboration of consultancy. You will be involved with the following types of activity: Design and deliver high-quality solutions: building, enhancing and maintaining software, infrastructure and deployment pipelines that are robust, secure and scalable. Projects may include solutions involving geospatial data, GIS platforms and open-source mapping tools. Work collaboratively across disciplines: partnering with Senior and Lead Engineers, Delivery Managers, Designers and Data Scientists to shape solutions, contribute to technical documentation and deliver against agreed plans. Apply standards and best practice: follow established engineering approaches, contribute accurate technical estimates and proactively identify and escalate risks or issues. Communicate clearly and build relationships: present ideas, prototypes and progress updates to stakeholders, while building strong working relationships with colleagues, clients and partner organisations. Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938

Windows Site Reliability Engineer £110K Hybrid London Overview: A leading global investment bank is seeking a skilled Windows Site Reliability Engineer to join their London-based Technology team. This is a senior-level leadership role focused on driving platform reliability, automation strategy, and infrastructure modernisation across mission-critical banking systems. This is an excellent opportunity to join an investment banking powerhouse. Role and Responsibilities: Lead Platform Engineering and SRE strategy across the organisation Build scalable, self-service, and resilient infrastructure platforms Drive Infrastructure as Code and CI/CD adoption, automating manual tasks Define SLOs and optimise system performance, latency, and scalability Lead root cause analysis and remediate technical debt Partner with development teams to improve testing, releases, and deployments Shape cloud and hybrid migration strategies Ensure regulatory, audit, and security compliance Act as senior escalation point for high-severity incidents Identify cost and efficiency improvements; deputise for senior leadership Skills and Experience: Deep expertise in Microsoft Windows Server internals Advanced knowledge of Active Directory, DNS, DHCP, LDAP, and Kerberos Extensive experience tuning low-latency, enterprise-scale systems Strong background in SRE, DevOps, CI/CD, and Infrastructure as Code principles Advanced scripting and development capability (PowerShell, Python, C#) Clustering, high-availability, replication, and disaster recovery expertise Experience with Git, Terraform, Ansible, Jenkins, and TeamCity Strong understanding of security hardening (CIS) within regulated environments Deep knowledge of performance monitoring, system internals, and optimisation techniques Experience working within financial services or other regulated industries Desirable: Kubernetes and Docker orchestration Major cloud platforms (Azure, AWS, GCP) Nutanix HCI and VMware ESX Enterprise databases (SQL Server, Oracle, Sybase ASE, MongoDB, Snowflake) Enterprise monitoring tools (Splunk, Netcool) Package Circa £110,000 + Excellent Package London / Hybrid x3 days onsite Flexible working considered Windows Site Reliability Engineer £110K Hybrid London