30 jobs found

Cloud Engineer / Platform Engineer x4 SC Cleared UK Wide 55,000 - 90,000 + perm benefits Successful applications will need to hold current SC Clearance We are seeking experienced Cloud Engineers to join a collaborative platform engineering team delivering secure, scalable cloud services to UK-based customers. These roles blends hands-on project delivery with ongoing platform development, offering the opportunity to deepen your expertise in cloud, DevOps, and infrastructure automation. You will work in a supportive, agile environment alongside skilled engineers focused on building reliable, modern cloud platforms. Key responsibilities Design, build, and maintain cloud platforms with a strong emphasis on automation, reuse, standardisation, and blueprints Take a code-first approach, reducing reliance on manual configuration Deliver cloud engineering outcomes through agile-style sprints, aligned to customer needs Contribute to both project delivery and foundational platform improvement Collaborate closely with other engineers to continuously improve platform capability and reliability Maintain and enhance cloud environments in line with security and compliance requirements Actively develop your technical skills through training, certifications, and hands-on experience Skills and experience Proven experience in cloud or platform engineering roles Strong hands-on experience with Azure and/or AWS Experience using Infrastructure as Code tools (e.g. Terraform) Proficiency with version control systems such as GitHub Experience building or maintaining CI/CD pipelines Practical knowledge of Kubernetes and container-based platforms Familiarity with configuration management tools such as Ansible Experience working in Agile delivery environments Background in infrastructure and networking (desirable but not essential)

SC Cleared DevOps Engineer Remote 350- 425 InsideIR35 6 Month initial contract Immediate start Opus is working with a public sector client looking to expand their Devops team (multiple roles). Key requirements: Strong experience with AWS services and infrastructure as code using Terraform Data engineering expertise using Apache Spark and Python, including development in Jupyter Notebooks Workflow orchestration and containerisation experience with Apache Airflow and Docker Version control and CI/CD proficiency using GitLab, including automated pipelines SC Cleared DevOps Engineer Remote 350- 425 InsideIR35 6 Month initial contract Immediate start You must have active SC Clearance to apply for this role.

DevOps Engineer Fully Remote 500- 520 Per Day 12-Month Contract Outside IR35 SC Clearance Required Immediate Start We're looking for an experienced DevOps Engineer to join a new team supporting a secure, highly available cross-domain platform. You'll work within an event-driven microservices environment using Docker and modern DevOps tooling to maintain CI/CD pipelines, automate deployments, and support live production systems. Key skills include Docker, Kubernetes/OpenShift, Terraform/Ansible, Jenkins/GitHub Actions, AWS, Linux, monitoring tools (Grafana/Prometheus), and infrastructure automation. This is an excellent opportunity to work on a long-term remote contract using cutting-edge DevOps technologies within a high-impact managed service environment. UK Passport Holders Only If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

PRINCIPAL DEVOPS ENGINEER- SC CLEARED PRINCIPAL DEVOPS ENGINEER- Permanent opportunity for a Principal DevOps Engineer with SC Clearance. - Salary up to £105,000 DOE - Hybrid opportunity with Manchester based offices - To apply, please call Laura Jackson on , or email with an up-to-date CV. WHO ARE WE?We're hiring for DevOps Engineers at principal level to join a top consultancy delivering cutting-edge solutions for industry-leading Public Sector and Defence clients. You'll have the opportunity to work across multiple high-impact, innovative and mission-critical projects, shaping solutions that make a real difference. Due to the sensitive nature of the work, an SC Clearance eligibility is required. THE PRINCIPAL DEVOPS ENGINEER- Active SC Clearance or SC Clearance eligibility - Manchester Based or ability to travel to Manchester.- Experience as in a Senior/ Principal DevOps/ Platform engineering role PRINCIPAL DEVOPS ENGINEER ESSENTIAL SKILLS- Strong Linux expertise (RHEL/CentOS) with experience supporting production systems- Git for version control and collaborative development (GitHub / GitLab)- AWS cloud infrastructure, ideally with Infrastructure as Code using Terraform- Kubernetes and container technologies (Docker) for modern platform environments- Experience working with CI/CD pipelines and automation tooling (e.g. Jenkins, Bamboo)- Strong understanding of modern platform architecture, microservices and cloud-native systems- Good communication skills and ability to provide technical leadership. TO BE CONSIDERED:Please either apply through this advert or emailing me directly on . For further information please call me: / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLSDEVOPS ENGINEER, DEVOPS, SITE RELIABILITY ENGINEER, PLATFROM ENGINEER, PLATFROM, CLOUD, AWS, AWS CLOUD, AWS ENGINEER, ANSIBLE, TERRAFORM, CLOUD SUPPORT, CLOUD INFRASTRUCTURE, DEFENCE, NATIONAL SECURITY, DV CLEARED, DV CLEARANCE, SECURITY CLEARED, SC CLEARANCE, NSD

We are currently recruiting for an experienced Senior Infrastructure Engineer experienced in NetDevOps to work a contract for our client until the end of March in one of several available sites, working 3 days per week on-site. This role is available preferably in Newcastle, but also in Manchester, Leeds, Birmingham, or Blackpool. Role Overview We are looking for a Senior Infrastructure Engineer (NetDevOps) to design, build, and evolve large-scale enterprise network platforms, with a strong focus on modern, automated, and cloud-integrated infrastructure. This role is suited to a hands-on engineer, not an operations or SRE specialist. You will be expected to quickly contribute to design and delivery activities, applying engineering best practice, automation, and network expertise to support critical services. You will work closely with Architecture, Cloud, and Engineering teams to deliver secure, scalable, and highly available network solutions, balancing immediate delivery needs with longer-term platform improvement. Key Responsibilities Design, implement, and enhance enterprise network infrastructure across data centre, hybrid, and cloud environments Engineer and implement network traffic flows to support business-critical services Build and maintain secure hybrid connectivity across Azure, AWS, and OCI Implement and manage Palo Alto Firewall policies across on-prem and cloud environments, aligned to Zero Trust principles Design and operate high-availability network services, including routing, segmentation, and resilience Develop and maintain network automation using tools such as Python, Ansible, and Infrastructure as Code Collaborate with architecture and platform teams to ensure solutions align with engineering standards and strategic direction Contribute immediately to delivery work, demonstrating the ability to operate with minimal ramp up Document designs and changes clearly and consistently, supporting maintainability and knowledge sharing Essential Technical Skills Enterprise Networking Engineering Complex OSPF and BGP environments Designing and implementing secure, resilient traffic flows Strong understanding of typical enterprise and cloud network patterns Firewall and Security Technologies Extensive experience with Palo Alto Firewalls Policy design and implementation across data centre and cloud Zero Trust and secure network design principles Data Centre & Network Architecture VXLAN/EVPN, VRF segmentation, and multi-site fabrics Experience with vendors such as Arista (or equivalent) Load balancing technologies (eg F5 BIG-IP: LTM/APM/ASM) Automation & NetDevOps Capability You will be expected to demonstrate a clear move away from traditional, manual networking, including: Network automation experience using Python, Ansible, or similar tooling Infrastructure as Code mindset (eg Terraform) Version control and CI/CD exposure (eg GitLab CI/CD) Applying DevOps-style practices to network and infrastructure engineering Cloud & Hybrid Experience Strong working experience with at least one major cloud provider (Azure, AWS, or OCI) Designing and integrating hybrid cloud network solutions Understanding of cloud-native networking constructs and security models Experience & Knowledge Proven track record as a Network/Infrastructure Engineer in large-scale enterprise environments Experience delivering engineering solutions, not just supporting operations Comfortable working across multiple workstreams and priorities Experience in regulated or complex environments Nice to Have Aruba Central/ClearPass SD WAN technologies SaaS and cloud-delivered WLAN/WiFi solutions Prior experience modernising Legacy network environments If you feel you have the skills and experience needed for this role; please do apply now. By applying for this job and submitting your CV to Parker Shaw, you acknowledge and give permission for us to pass it to an associate company for resourcing purposes. We outsource some of our resourcing calls to a trusted third-party company and they may call you to discuss this opportunity with you. They will then report back to us with the outcome of their conversation with you, where upon we will decide whether to submit your CV to the end client. Please be assured that the third-party company do not store or control any of your data, this is all done by ourselves (Parker Shaw).

PRINCIPAL DEVOPS ENGINEER- SC CLEARED PRINCIPAL DEVOPS ENGINEER- Permanent opportunity for a Principal DevOps Engineer with SC Clearance. - Salary up to £105,000 DOE - Hybrid opportunity with Leeds based offices - To apply, please call Laura Jackson on , or email with an up-to-date CV. WHO ARE WE?We're hiring for DevOps Engineers at principal level to join a top consultancy delivering cutting-edge solutions for industry-leading Public Sector and Defence clients. You'll have the opportunity to work across multiple high-impact, innovative and mission-critical projects, shaping solutions that make a real difference. Due to the sensitive nature of the work, an SC Clearance eligibility is required. THE PRINCIPAL DEVOPS ENGINEER- Active SC Clearance or SC Clearance eligibility - Leeds Based or ability to travel to Leeds.- Experience as in a Senior/ Principal DevOps/ Platform engineering role PRINCIPAL DEVOPS ENGINEER ESSENTIAL SKILLS- Strong Linux expertise (RHEL/CentOS) with experience supporting production systems- Git for version control and collaborative development (GitHub / GitLab)- AWS cloud infrastructure, ideally with Infrastructure as Code using Terraform- Kubernetes and container technologies (Docker) for modern platform environments- Experience working with CI/CD pipelines and automation tooling (e.g. Jenkins, Bamboo)- Strong understanding of modern platform architecture, microservices and cloud-native systems- Good communication skills and ability to provide technical leadership. TO BE CONSIDERED:Please either apply through this advert or emailing me directly on . For further information please call me: / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLSDEVOPS ENGINEER, DEVOPS, SITE RELIABILITY ENGINEER, PLATFROM ENGINEER, PLATFROM, CLOUD, AWS, AWS CLOUD, AWS ENGINEER, ANSIBLE, TERRAFORM, CLOUD SUPPORT, CLOUD INFRASTRUCTURE, DEFENCE, NATIONAL SECURITY, DV CLEARED, DV CLEARANCE, SECURITY CLEARED, SC CLEARANCE, NSD

PAM Engineer Location: Wokingham Hybrid - 50/50 Duration: role starts with a 6 months contract Rate to SSC Rate - 625 SC CLEARED INSIDE IR35 Role Description: Qualifications Relevant certifications (e.g., CyberArk Defender, CISSP, CISM) Experience in cloud environments (AWS, Azure, GCP) and hybrid infrastructures Knowledge of DevSecOps practices and CI/CD pipeline integration Key Responsibilities Design, deploy, and manage PAM solutions (e.g., CyberArk, BeyondTrust, Delinea) Implement least privilege access models and enforce secure credential management Monitor and audit privileged access activities across systems and applications Integrate PAM tools with SIEM, IAM, and other security platforms Develop and maintain policies, procedures, and documentation for PAM operations Conduct regular access reviews, privilege audits, and risk assessments Collaborate with IT, DevOps, and Security teams to ensure seamless PAM integration Provide technical support and troubleshooting for PAMrelated issues Stay current with industry trends, threats, and best practices in access management Required Skills & Qualifications Experience in PAM engineering or cybersecurity roles Proficiency with PAM tools such as CyberArk, BeyondTrust, or Delinea Strong understanding of Active Directory, LDAP, and authentication protocols Experience with scripting (PowerShell, Python) for automation and reporting Familiarity with compliance frameworks (ISO 27001, NIST, GDPR) Excellent problemsolving, communication, and documentation skills

New Contract role SC Cleared DevOps engineer 400 Inside ir35 Remote - Occasional onsite to your local office - London, Manchester, Newcastle 3 Months initally ASAP Start Tech stack AWS Terraform Spark Python Security scanning agents experience If interested please get in touch with your cv (url removed)

Software Engineer Hampshire / Hybrid - 2 days per week onsite 60,000 - 65,000 per annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems, with opportunities to expand into sensors and robotics. This is a collaborative role requiring strong technical expertise and effective communication across teams. What You'll Bring Degree in a STEM subject or equivalent experience Experience with some of the following: Languages: Python, Java, Rust, JavaScript Cloud: AWS (Azure/GCP beneficial) Containers: Docker, Kubernetes, GPU containerisation Architecture: Microservices, serverless, APIs, edge compute, pub/sub systems (Kafka, MQTT) DevSecOps: Git, CI/CD, Terraform/Ansible, Linux scripting Proactive mindset, strong problem-solving skills, and ability to work independently or in teams Key Responsibilities Deliver software with product owners and engineering teams Contribute to Agile processes (Scrum, Kanban, SAFe) Ensure quality through testing and code reviews Support and troubleshoot live systems If this Software Engineer role is of interest, apply now or email me at (url removed)

AWS DevOps Engineer - Cloud Native SC Cleared AWS Kubernetes Terraform Cloud Native Engineering Location: London Manchester Bristol (Hybrid Working) Salary: Consultant: 70,000 - 80,000 Senior Consultant: 80,000 - 90,000 + Bonus Security Clearance: Active SC Clearance Required Headcount: 10 Positions Available Build and Scale Mission-Critical Cloud Platforms We are hiring multiple AWS Cloud Native DevOps Engineers to join a leading cloud and engineering practice delivering secure, scalable, cloud-native solutions across complex, high-profile programmes. This is an opportunity to work on large-scale cloud transformation initiatives where automation, resilience, security, and performance are critical. You will work alongside highly skilled engineers using modern DevOps tooling and cloud-native technologies to build and optimise enterprise AWS environments. If you are passionate about cloud engineering, infrastructure automation, CI/CD, and platform reliability, this role offers the chance to work on meaningful projects while accelerating your technical and professional development. The Role You will be responsible for: Designing, building, and managing AWS cloud environments Developing Infrastructure as Code using Terraform, CloudFormation, or Pulumi Building and maintaining CI/CD pipelines using tools such as GitLab CI, Jenkins, or ArgoCD Deploying and managing containerised workloads with Docker and Kubernetes Implementing monitoring, logging, and observability solutions using Prometheus, Grafana, ELK, and CloudWatch Improving platform scalability, automation, resilience, and security Working within Agile delivery teams across complex transformation programmes Supporting DevSecOps and Zero Trust security best practices Skills and Experience We are looking for engineers with experience in: AWS cloud infrastructure deployment and management Infrastructure as Code (Terraform, CloudFormation, or Pulumi) CI/CD pipeline engineering Docker and Kubernetes Scripting and automation using Python, Bash, or PowerShell AWS networking including VPCs, subnets, and security groups Monitoring and observability tooling Troubleshooting and optimising cloud infrastructure Working within secure or regulated environments What's on Offer Exposure to enterprise-scale cloud transformation programmes Access to industry-leading training and certifications Clear progression opportunities across engineering and consulting pathways Flexible hybrid working model Collaborative engineering culture focused on innovation and continuous improvement Opportunity to work on nationally significant projects using modern cloud technologies Security Clearance Due to the nature of the work, candidates must hold active UK SC Clearance to be considered. Apply If you are an AWS DevOps Engineer looking to work on complex cloud-native projects within a high-performing engineering environment, apply now for a confidential discussion.

AWS Cloud Native DevOps Engineer SC Cleared AWS Kubernetes Terraform Locations: Manchester London Bristol (Hybrid) Salary: Consultant: 70,000 - 80,000 Senior Consultant: 80,000 - 90,000 + Bonus Security Clearance: Active SC Clearance Required Headcount: 10 Positions The Opportunity We are hiring AWS Cloud Native DevOps Engineers to join a leading cloud engineering practice delivering secure, scalable, mission-critical solutions across major transformation programmes. This role offers the opportunity to work with modern cloud-native technologies, enterprise AWS platforms, and highly skilled engineering teams focused on automation, resilience, and security. What You'll Be Doing Designing, building, and managing AWS cloud infrastructure Developing Infrastructure as Code using Terraform, CloudFormation, or Pulumi Building and maintaining CI/CD pipelines using GitLab CI, Jenkins, or ArgoCD Managing containerised environments with Docker and Kubernetes Implementing monitoring and observability solutions including Prometheus, Grafana, ELK, and CloudWatch Improving platform scalability, automation, performance, and security Working within Agile delivery teams on large-scale cloud programmes Supporting DevSecOps and Zero Trust security best practices Skills Required Strong AWS infrastructure experience Infrastructure as Code expertise CI/CD pipeline engineering Docker and Kubernetes Python, Bash, or PowerShell scripting AWS networking knowledge including VPCs and security groups Monitoring and logging experience Strong troubleshooting and problem-solving skills Experience working in secure or regulated environments What's On Offer Enterprise-scale cloud transformation projects Modern engineering environment and tooling Access to training and certifications Clear progression opportunities Flexible hybrid working Collaborative and high-performing engineering culture Clearance Requirement Candidates must hold active UK SC Clearance to be considered. Apply If you are an AWS DevOps Engineer looking for your next challenge in cloud-native engineering, apply now for a confidential discussion.

AWS Cloud Native DevOps Engineer SC Cleared AWS Kubernetes Terraform Locations: Manchester London Bristol (Hybrid) Salary: Consultant: £70,000 - £80,000 Senior Consultant: £80,000 - £90,000 + Bonus Security Clearance: Active SC Clearance RequiredHeadcount: 10 Positions The Opportunity We are hiring AWS Cloud Native DevOps Engineers to join a leading cloud engineering practice delivering secure, scalable, mission-critical solutions across major transformation programmes. This role offers the opportunity to work with modern cloud-native technologies, enterprise AWS platforms, and highly skilled engineering teams focused on automation, resilience, and security. What You'll Be Doing Designing, building, and managing AWS cloud infrastructure Developing Infrastructure as Code using Terraform, CloudFormation, or Pulumi Building and maintaining CI/CD pipelines using GitLab CI, Jenkins, or ArgoCD Managing containerised environments with Docker and Kubernetes Implementing monitoring and observability solutions including Prometheus, Grafana, ELK, and CloudWatch Improving platform scalability, automation, performance, and security Working within Agile delivery teams on large-scale cloud programmes Supporting DevSecOps and Zero Trust security best practices Skills Required Strong AWS infrastructure experience Infrastructure as Code expertise CI/CD pipeline engineering Docker and Kubernetes Python, Bash, or PowerShell scripting AWS networking knowledge including VPCs and security groups Monitoring and logging experience Strong troubleshooting and problem-solving skills Experience working in secure or regulated environments What's On Offer Enterprise-scale cloud transformation projects Modern engineering environment and tooling Access to training and certifications Clear progression opportunities Flexible hybrid working Collaborative and high-performing engineering culture Clearance Requirement Candidates must hold active UK SC Clearance to be considered. Apply If you are an AWS DevOps Engineer looking for your next challenge in cloud-native engineering, apply now for a confidential discussion.

Job Description About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure, and scalable technology solutions for public and private sector clients. This is a fully remote role based in India, supporting UK operations and client engagements. The successful candidate will work closely with UK leadership teams and must be comfortable operating within UK regulatory, governance, and delivery frameworks. About the Role We are looking for an experienced Test Manager to lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . You will be responsible for defining and driving the overall testing approach across automated pipelines, data workflows, cloud infrastructure, and release delivery while managing risks, improving testing standards, and mentoring engineering teams. The ideal candidate will have strong experience in Big Data and Data Lake environments , including testing both structured and unstructured datasets, and will be comfortable operating in highly automated CI/CD-driven delivery environments. You will work closely with engineering, DevOps, architecture, and stakeholder teams to ensure quality is Embedded throughout the software delivery life cycle. Key Responsibilities Test Strategy & Leadership Define, implement, and manage the overall test strategy across cloud-native data platforms and applications Lead end-to-end testing activities across data pipelines, cloud services, APIs, and distributed systems Establish quality standards, governance processes, and testing best practices across teams Drive a quality-first engineering culture across the programme Provide leadership, mentoring, and coaching to Test Engineers and QA team members Automated Testing & Frameworks Design, implement, and oversee scalable automated test frameworks for data and application testing Build and maintain automated test suites across AWS cloud infrastructure and data workflows Enhance existing automation frameworks to improve reliability, coverage, maintainability, and reporting Ensure automated testing is fully integrated within GitLab CI/CD pipelines for rapid feedback and release confidence Big Data & Data Lake Testing Lead testing activities across Big Data and Data Lake solutions containing structured and unstructured datasets Validate large-scale data ingestion, transformation, and processing workflows Ensure data integrity, transformation accuracy, reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases and environments Analyse test execution metrics, defects, trends, and quality indicators Translate technical findings into clear, prioritised reporting for technical and non-technical stakeholders Provide regular status reporting to programme leadership and client stakeholders CI/CD & DevOps Collaborate with DevOps and engineering teams to improve release quality and deployment confidence Ensure automated test execution within GitLab CI/CD pipelines Support infrastructure testing and validation within Terraform-managed cloud environments Contribute to continuous improvement initiatives across testing and delivery processes Technology Stack Apache Airflow, Amazon Athena, AWS S3, AWS Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, SQL, Java, Bash, GitLab CI/CD, Jupyter Notebooks, Apache Spark/PySpark, Terraform, Docker Key Skills Strong proficiency in Python, SQL, Java, and Scripting languages such as Bash Hands-on experience testing Big Data platforms and Data Lake solutions Strong experience with AWS EMR, Apache Airflow, and Jupyter Notebooks Experience performing PySpark-based data interrogation, validation, and testing Strong knowledge of AWS services including S3, Glue, Athena, EMR, CloudWatch, IAM, DynamoDB, EC2, and ECR Experience designing, implementing, and managing enterprise-scale automated test frameworks Strong understanding of CI/CD practices using GitLab pipelines Experience with infrastructure-as-code tools such as Terraform Familiarity with Docker and containerised testing environments Understanding of dimensional data models and slowly changing dimensions Experience validating structured and unstructured data workflows Strong analytical and root cause analysis skills Ability to communicate technical risks clearly to stakeholders at all levels Experience leading and mentoring QA/Test Engineering teams Skills & Experience Required Proven experience as a Test Manager , Lead Test Engineer, or QA Lead within cloud and data engineering environments Strong background in automated testing for cloud-native and data-centric platforms Experience testing large-scale data pipelines, transformation processes, and distributed systems Experience managing or leading QA/testing teams in Agile delivery environments Strong stakeholder management and communication skills Experience establishing test governance, reporting, and quality metrics Strong problem-solving and decision-making capability Experience working within regulated or security-conscious delivery environments SFIA Level 5 capability provides leadership, influences strategy, and drives quality improvements Active SC clearance (mandatory)

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the London office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with DWP engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilities Data pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills required Languages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache Airflow - configuring DAGs and managing task orchestration at scale Jupyter Notebooks - for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills to identify root cause of issues within pipelines and data assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server Side and client-side encryption within AWS Infrastructure, DevOps & delivery Terraform - Infrastructure as Code for provisioning and managing AWS environments Docker - containerisation of data engineering solutions GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning Familiarity with DWP engineering best practices Ability to translate customer expectations into applied, functional technical solutions Technology stack at a glance PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the London office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with DWP engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilities Data pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills required Languages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache Airflow - configuring DAGs and managing task orchestration at scale Jupyter Notebooks - for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills to identify root cause of issues within pipelines and data assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server Side and client-side encryption within AWS Infrastructure, DevOps & delivery Terraform - Infrastructure as Code for provisioning and managing AWS environments Docker - containerisation of data engineering solutions GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning Familiarity with DWP engineering best practices Ability to translate customer expectations into applied, functional technical solutions Technology stack at a glance PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags

AWS DevOps Engineer & SRE 6 Month intitial contract Fully Remote 500- 550 OutsideIR35 to join our clients new team that will deploy and maintain our established cross-domain system for a customer. The system uses an AMQP event-driven microservices architecture and extensively utilises Docker container services. The team will use monitoring tools to verify that all components are meeting SLA/SLO requirements. Experience with infrastructure automation (Terraform, CloudFormation, Ansible) and cloud platforms (AWS) Strong background in containerisation and orchestration (Docker, Kubernetes, OpenShift) Experience building and maintaining CI/CD pipelines (Jenkins, GitHub Actions) Knowledge of event-driven architectures and messaging systems (RabbitMQ / AMQP) Proficiency in software development (Java, Go, Python) with a focus on well-tested code Understanding of network security, cross-domain architectures, and managed service environments Experience with monitoring and observability tools (Prometheus, Grafana, InfluxDB) AWS DevOps Engineer & SRE 6 Month intitial contract Fully Remote 500- 550 OutsideIR35 We are looking for SC Cleared or Eligible candidates for this role.

DevOps Tester +6 months + +Fully remote working +SC cleared - must hold current active clearance +Sole British nationals only - due to nature of the project Skills: +AWS +Kubernetes +Public Sector experience +Testing experience - can set the Testing process up from beginning to end and to be able to own it We're looking for an experienced DevOps Tester, this is a pivotal role in maintaining critical national infrastructure where scalability and resilience are essential. We're looking for a highly skilled DevOps engineer with a strong background in testing (including APIs). The ideal candidate should be self-motivated and results-driven, capable of thriving in an Agile team. You'll need to be comfortable with Confluence for documentation and Jira for project tracking and story management. Your main responsibility will be to develop and structure a comprehensive test framework. This includes creating approaches and plans, gaining approval for those approaches, and ultimately delivering a complex set of functional and performance tests for software components running within an AWS multi-account model. You will be working alongside client teams and supporting, as required, in a 3rd line capacity. Key technologies you'll be working with include Vault, Consul, Kubernetes, various AWS services (Compute, Identity), Prometheus for monitoring, ELK, Jenkins for CI/CD, and scripting languages such as Python, Ansible, and/or Bash. Knowledge of proxies and firewalls, including Fortinet and Palo Alto, would be an advantage. If you'd like to discuss this DevOps Tester in more detail, please send your updated CV to (url removed) and I will get in touch.

Lead Test Engineer - Inside IR35 - 600 to 640 per day via umbrella - 12-month contract - SC Clearance is essential (Experience in driving or supporting transformation from monolithic systems to distributed micro-services architectures in Java - is essential) Start date - 25/05/2026 is essential Leeds or Manchester based - in the office not home based Essential Skills & Experience: Technical Expertise: Strong experience designing and implementing test strategies for microservices environments Hands-on automation experience using: o Java, Selenium, Rest Assured o API, contract, and integration testing ( Experience working with monolith and microservices systems is essential) Knowledge of: o CI/CD pipelines o Spring Boot-based applications o Performance testing fundamentals Modern Testing Practices: o Contract testing, API testing, and asynchronous messaging (e.g. Kafka) o Non-functional testing (performance, accessibility) Experience with non-relational databases (e.g. MongoDB) Automation-first mindset with ability to build reusable, maintainable frameworks Leadership: Experience operating at Lead / Principal level Ability to influence stakeholders without direct authority Strong communication skills across technical and non-technical audiences Tools & Technologies Cloud: AWS Test Frameworks: Selenium, Serenity BDD, Playwright Contract Testing: Pactflow, Spring Cloud Contract Messaging: Kafka Databases: MongoDB CI/CD & DevOps: GitHub, GitLab, Jenkins, Docker Performance Testing: Gatling, K6 Observability: Grafana, Prometheus, Splunk What We're Looking For A hands-on technical leader who can set direction and deliver Someone comfortable working across multiple teams and scaling best practice A proactive problem-solver with a strong quality-first mindset Please note you will receive an automated response advising you that we have received your CV. Morgan Philips Group is a global talent solutions business that disrupts conventional thinking in executive search, recruitment and talent consulting. We operate in over 18 markets in Europe, North & South America, Asia, and the Middle East & Africa. We understand that the future is digital and social, so we embrace the latest technology, including video ads and CVs, as well as social recruiting. Our innovative services are tailored to the new world of work yet we do not lose sight of the fact that employees be they existing and potential are ultimately human beings. We are committed to ensuring that all job applicants are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

Cloud DevOps Engineer (SC Cleared) - Hybrid - Manchester Salary: £65,000 - £75,000 pa (depending on experience) plus benefits, perks and healthcare options Location: Hybrid - Remote / 1to2 x days per week - Travel to Central Manchester Job Type: Permanent Security Clearance: This role is exclusively open to UK sole nationals ONLY who either hold or are eligible for Security Clearance (SC). We are on the lookout for a talented and motivated Cloud DevOps Engineers to join a dynamic Cloud Pod. The client works in focused, agile teams called Pods - groups of technical professionals who come together to build and maintain cloud platforms. If you enjoy working in a team-oriented environment and are passionate about continuous learning, we'd love to hear from you. Your Role: Build and maintain cloud platforms with a high degree of focus on technical reuse, standardisation and blueprints; think code first rather than "ClickOps" Embrace modern ways of working and feel part of our customer's outcomes as we group around activities in agile type sprints. Continue to strengthen and bolster your existing capabilities in platform engineering through a mix of professional training, certifications, and experiences. Your skills and experience Experience working with cloud platforms such as AWS and Azure. Familiarity with scripting and resource monitoring using tools like YAML, PowerShell, JSON, or Python, with a focus on automation and reducing manual tasks. Exposure to infrastructure-as-code tools such as CloudFormation, ARM templates, Terraform, or Bicep. Understanding of DevOps practices and tools, including GitHub, Azure DevOps (Boards, Pipelines, Artifacts), and observability tools like Splunk. Experience contributing to end-to-end delivery using ITIL frameworks, with a focus on collaboration and continuous improvement. Security Clearance Requirements: Ideally you will currently hold valid SC level Security clearance or at a minimum you must be eligible for Security Check (SC) clearance. Applicants must have resided continuously in the UK for the past 5 years. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send your CV in application to James Money -