Queen Square Recruitment Ltd
Gloucester, Gloucestershire
Desktop Support Engineer (SC Cleared) Location : Gloucester (100% Onsite) Contract: 6 Months Initially Start Date : March (ASAP) Rate: 200 - 220 per day (Inside IR35) About the Role Our client is seeking an experienced SC Cleared Desktop Support Engineer to join their team in Gloucester. This role is fully onsite and plays a key part in ensuring the smooth operation of their IT systems, supporting end-users, and maintaining technical excellence across the organisation. You will be responsible for diagnosing and resolving technical issues, supporting Windows 10/Microsoft Managed Desktop environments, and assisting with IT infrastructure tasks to minimise downtime and enhance productivity. Key Responsibilities Technical Support & Issue Resolution Troubleshoot and resolve issues across networks, applications, Windows 10, hardware, software, VPNs, printers, and mobile devices. Manage incident queues and ensure timely response to reactive and proactive incidents. Provide support to standard users and VIP stakeholders. Perform Active Directory tasks including group management, account unlocks, and password resets. Device & Asset Management Build and deploy laptops/desktops using approved images (MMD environment). Manage antivirus tools (Defender / McAfee). Support hardware logistics including device moves, unpacking/repacking, shipping, and device retirement. Maintain accurate asset and configuration data. User-Facing Support Provide Tech-Bar support for end-user queries. Monitor phones, emails, and Teams channels for incoming incidents. Support training/meeting room equipment and loan device management. Assist with conference room device support and cloud printing services. Documentation & Collaboration Create and maintain technical documentation, reports, and user guides. Liaise with offshore teams, senior stakeholders, and business partners. Ensure excellent communication across all functional teams. Required Skills & Experience Strong troubleshooting experience with Windows 10 operating systems. Experience in Microsoft Managed Desktop (MMD) environments. Ability to install/configure Starlink satellite network devices (desirable). Intune administration understanding and basic virtualisation awareness. Ability to configure iPhones/iPads and manage user lifecycle tasks via Azure Portal. Experience supporting Office Apps, SharePoint, Teams admin (L1 level). Excellent communication, multitasking, and customer service skills. Strong problem-solving and root cause analysis abilities. Self-motivated, proactive, and able to work independently. ITIL knowledge or certification preferred. Additional Requirements Must be SC Cleared. Flexibility to travel between local sites if/when required. If you are SC cleared and have the relevant skills and experience, please apply promptly to be considered.
Desktop Support Engineer (SC Cleared) Location : Gloucester (100% Onsite) Contract: 6 Months Initially Start Date : March (ASAP) Rate: 200 - 220 per day (Inside IR35) About the Role Our client is seeking an experienced SC Cleared Desktop Support Engineer to join their team in Gloucester. This role is fully onsite and plays a key part in ensuring the smooth operation of their IT systems, supporting end-users, and maintaining technical excellence across the organisation. You will be responsible for diagnosing and resolving technical issues, supporting Windows 10/Microsoft Managed Desktop environments, and assisting with IT infrastructure tasks to minimise downtime and enhance productivity. Key Responsibilities Technical Support & Issue Resolution Troubleshoot and resolve issues across networks, applications, Windows 10, hardware, software, VPNs, printers, and mobile devices. Manage incident queues and ensure timely response to reactive and proactive incidents. Provide support to standard users and VIP stakeholders. Perform Active Directory tasks including group management, account unlocks, and password resets. Device & Asset Management Build and deploy laptops/desktops using approved images (MMD environment). Manage antivirus tools (Defender / McAfee). Support hardware logistics including device moves, unpacking/repacking, shipping, and device retirement. Maintain accurate asset and configuration data. User-Facing Support Provide Tech-Bar support for end-user queries. Monitor phones, emails, and Teams channels for incoming incidents. Support training/meeting room equipment and loan device management. Assist with conference room device support and cloud printing services. Documentation & Collaboration Create and maintain technical documentation, reports, and user guides. Liaise with offshore teams, senior stakeholders, and business partners. Ensure excellent communication across all functional teams. Required Skills & Experience Strong troubleshooting experience with Windows 10 operating systems. Experience in Microsoft Managed Desktop (MMD) environments. Ability to install/configure Starlink satellite network devices (desirable). Intune administration understanding and basic virtualisation awareness. Ability to configure iPhones/iPads and manage user lifecycle tasks via Azure Portal. Experience supporting Office Apps, SharePoint, Teams admin (L1 level). Excellent communication, multitasking, and customer service skills. Strong problem-solving and root cause analysis abilities. Self-motivated, proactive, and able to work independently. ITIL knowledge or certification preferred. Additional Requirements Must be SC Cleared. Flexibility to travel between local sites if/when required. If you are SC cleared and have the relevant skills and experience, please apply promptly to be considered.
Queen Square Recruitment Ltd
City, London
Job Title: Azure Cosmos DB Developer Location: London (Hybrid 1 day per week onsite mandatory) Contract Type: Contract Duration: 6 Months Rate: £(Apply online only)/day (Inside IR35) Industry: Financial Services Azure Cosmos DB Developer Contract London (Hybrid) We are seeking an experienced Azure Cosmos DB Developer to join a major global financial services organisation undergoing significant transformation across its application and data engineering landscape. This is an exciting opportunity to contribute to the modernisation of critical platforms within a highly regulated, enterprise-scale environment. You will play a key role in delivering high-performance, cloud-native data solutions using Azure services, ensuring scalability, resilience, and operational excellence. The Role You will support the transformation of mission-critical systems, driving technical excellence in data engineering and cloud-native development. The role requires strong hands-on expertise in Azure Cosmos DB, Spark, and distributed computing concepts. Key Responsibilities Develop cloud-native applications using Azure Cosmos DB (SQL API & Mongo API) Design and optimise NoSQL data models Implement partitioning and indexing strategies for performance optimisation Optimise RU consumption and query performance Work with Cosmos DB Change Data Feed (CDF) and Spark integrations Develop reusable libraries using C#/.NET or Node.js Build CI/CD pipelines using GitLab Implement automated testing frameworks Collaborate with architecture and DevOps teams in a microservices ecosystem Ensure compliance with security and governance standards Essential Skills & Experience Strong hands-on experience with Azure Cosmos DB Query optimisation and throughput management expertise Experience with Cosmos DB Change Data Feed (CDF) Strong PySpark and Spark distributed computing knowledge Experience integrating Spark with Cosmos CDF High proficiency with Cosmos DB SDKs (.NET, Java, Python, Node.js) Deep understanding of partitioning, indexing, and consistency models Experience with Azure services (Azure Functions, App Services, AKS, Logic Apps) CI/CD experience (GitLab preferred) Strong problem-solving and stakeholder engagement skills Desirable Advanced proficiency in C#, ASP.NET, and .NET Core Strong object-oriented design principles Why Apply? Work on enterprise-scale financial platforms Contribute to high-impact digital transformation initiatives Hybrid working model with flexibility Opportunity to shape secure, scalable systems within a regulated environment If you are a Cosmos DB specialist looking for your next contract engagement within financial services, we would love to hear from you.
Job Title: Azure Cosmos DB Developer Location: London (Hybrid 1 day per week onsite mandatory) Contract Type: Contract Duration: 6 Months Rate: £(Apply online only)/day (Inside IR35) Industry: Financial Services Azure Cosmos DB Developer Contract London (Hybrid) We are seeking an experienced Azure Cosmos DB Developer to join a major global financial services organisation undergoing significant transformation across its application and data engineering landscape. This is an exciting opportunity to contribute to the modernisation of critical platforms within a highly regulated, enterprise-scale environment. You will play a key role in delivering high-performance, cloud-native data solutions using Azure services, ensuring scalability, resilience, and operational excellence. The Role You will support the transformation of mission-critical systems, driving technical excellence in data engineering and cloud-native development. The role requires strong hands-on expertise in Azure Cosmos DB, Spark, and distributed computing concepts. Key Responsibilities Develop cloud-native applications using Azure Cosmos DB (SQL API & Mongo API) Design and optimise NoSQL data models Implement partitioning and indexing strategies for performance optimisation Optimise RU consumption and query performance Work with Cosmos DB Change Data Feed (CDF) and Spark integrations Develop reusable libraries using C#/.NET or Node.js Build CI/CD pipelines using GitLab Implement automated testing frameworks Collaborate with architecture and DevOps teams in a microservices ecosystem Ensure compliance with security and governance standards Essential Skills & Experience Strong hands-on experience with Azure Cosmos DB Query optimisation and throughput management expertise Experience with Cosmos DB Change Data Feed (CDF) Strong PySpark and Spark distributed computing knowledge Experience integrating Spark with Cosmos CDF High proficiency with Cosmos DB SDKs (.NET, Java, Python, Node.js) Deep understanding of partitioning, indexing, and consistency models Experience with Azure services (Azure Functions, App Services, AKS, Logic Apps) CI/CD experience (GitLab preferred) Strong problem-solving and stakeholder engagement skills Desirable Advanced proficiency in C#, ASP.NET, and .NET Core Strong object-oriented design principles Why Apply? Work on enterprise-scale financial platforms Contribute to high-impact digital transformation initiatives Hybrid working model with flexibility Opportunity to shape secure, scalable systems within a regulated environment If you are a Cosmos DB specialist looking for your next contract engagement within financial services, we would love to hear from you.
Queen Square Recruitment Ltd
Job Title: GCP FinOps Engineer Location: Newport, UK (Hybrid) Contract Duration: 6 Months IR35 Status: Inside IR35 Role Overview We are seeking an experienced GCP FinOps Engineer to optimise cloud spend, performance, and operational efficiency across large-scale data analytics and containerised workloads. You will work closely with engineering, data, and product teams to embed cost-efficient architectures, enforce financial governance, and implement best practices across Google Cloud environments. Responsibilities Optimise large-scale data analytics workloads via partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost-efficient compute. Redesign workflow orchestration pipelines for parallel execution, higher concurrency, and offloading heavy tasks to lower-cost execution environments. Analyse distributed data-processing pipelines to right-size worker types, adjust scaling thresholds, and adopt low-cost compute for batch workloads. Reduce log-processing and storage overhead through log-level standardisation, routing rules, exclusion filters, and retention optimisation. Implement storage-tiering strategies based on access patterns and enforce lifecycle rules to minimise cold data retention costs. Improve relational database performance through index tuning, connection optimisation, and instance right-sizing. Enhance horizontally scalable database performance via autoscaling policies, index improvements, and mitigation of read/write hotspots. Build dashboards, budgets, alerts, and guardrails to drive ongoing cost governance and financial accountability. Collaborate with engineering teams to embed cost-efficient architecture patterns and operational best practices. Key Skills / Knowledge 5+ years of hands-on experience in Google Cloud. Strong understanding of GCP data services, including indexing, slots, pruning, partitioning, and clustering. Expert-level Kubernetes & GKE resource tuning. Hands-on experience with Dataflow pipelines and worker optimisation. Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator). Deep understanding of Cloud Logging, routing, sinks, and exclusion filters. Experience with Cloud Spanner autoscaling, indexing, and schema optimisation. Cloud SQL performance tuning and indexing. Ability to analyse billing data, resource consumption, and quantify cost savings. Experience using GCP Cost Explorer, Recommender API, and Billing Export. Build dashboards, alerts, and budget guardrails for cost governance. Excellent communication and stakeholder management skills. Ability to collaborate across engineering, data, and product teams. Structured problem-solving mindset; ownership-driven, proactive, and independent.
Job Title: GCP FinOps Engineer Location: Newport, UK (Hybrid) Contract Duration: 6 Months IR35 Status: Inside IR35 Role Overview We are seeking an experienced GCP FinOps Engineer to optimise cloud spend, performance, and operational efficiency across large-scale data analytics and containerised workloads. You will work closely with engineering, data, and product teams to embed cost-efficient architectures, enforce financial governance, and implement best practices across Google Cloud environments. Responsibilities Optimise large-scale data analytics workloads via partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost-efficient compute. Redesign workflow orchestration pipelines for parallel execution, higher concurrency, and offloading heavy tasks to lower-cost execution environments. Analyse distributed data-processing pipelines to right-size worker types, adjust scaling thresholds, and adopt low-cost compute for batch workloads. Reduce log-processing and storage overhead through log-level standardisation, routing rules, exclusion filters, and retention optimisation. Implement storage-tiering strategies based on access patterns and enforce lifecycle rules to minimise cold data retention costs. Improve relational database performance through index tuning, connection optimisation, and instance right-sizing. Enhance horizontally scalable database performance via autoscaling policies, index improvements, and mitigation of read/write hotspots. Build dashboards, budgets, alerts, and guardrails to drive ongoing cost governance and financial accountability. Collaborate with engineering teams to embed cost-efficient architecture patterns and operational best practices. Key Skills / Knowledge 5+ years of hands-on experience in Google Cloud. Strong understanding of GCP data services, including indexing, slots, pruning, partitioning, and clustering. Expert-level Kubernetes & GKE resource tuning. Hands-on experience with Dataflow pipelines and worker optimisation. Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator). Deep understanding of Cloud Logging, routing, sinks, and exclusion filters. Experience with Cloud Spanner autoscaling, indexing, and schema optimisation. Cloud SQL performance tuning and indexing. Ability to analyse billing data, resource consumption, and quantify cost savings. Experience using GCP Cost Explorer, Recommender API, and Billing Export. Build dashboards, alerts, and budget guardrails for cost governance. Excellent communication and stakeholder management skills. Ability to collaborate across engineering, data, and product teams. Structured problem-solving mindset; ownership-driven, proactive, and independent.
