SOC Engineering Lead £70,000 - £80,000 DOE Hybrid Working UKSV clearance required candidates must hold or be eligible to obtain clearance. This role leads the Security Engineering function within a high-performing Security Operations Centre. It is a pivotal leadership position responsible for onboarding delivery, platform engineering, detection optimisation and technical transition into live SOC services. The team is technically strong. What it needs is structure, prioritisation and consistent leadership. You will bring clarity, accountability and calm while remaining technically credible and hands-on. This is not a pure management role. You must be able to lead from the front. The Role You will: • Lead and schedule the SOC Engineering team across onboarding and live service activity • Own technical delivery during customer onboarding and transition • Oversee Sentinel connector deployment, Defender integration, rule tuning and SOAR playbooks • Ensure structured service handover into SOC operations with clear documentation • Act as escalation point for complex engineering issues in live environments • Maintain SLA adherence and platform health • Improve detection logic, automation and enrichment capability • Drive engineering standards, reporting clarity and workload discipline • Coach and develop junior engineers • Maintain technical authority across Microsoft Sentinel, Defender suite, Entra ID and Azure security architecture What Success Looks Like • Onboarding delivered on time with validated integrations • Clean handover into SOC with documented runbooks • Improved automation and measurable SOC efficiency gains • A structured, aligned engineering team with clear ownership Essential Experience • Experience leading a Security Engineering team within an MSP, MSSP or SOC environment • Strong hands-on expertise with Microsoft Sentinel and Defender XDR • Deep understanding of Azure security architecture and ingestion strategy • Proven experience configuring connectors and tuning detection rules • Experience with SOAR platforms • Strong KQL capability • Ability to manage competing priorities in fast-paced environments • Experience managing ingestion costs or cloud service optimisation • Confident customer communication Desirable • Integration experience (Mimecast, Darktrace, legacy EDR platforms) • ITIL exposure (change and incident management) • Google Cloud or AWS knowledge • Microsoft security certifications • GIAC, CISSP, CYSA+ or equivalent Leadership Profile You are: • Structured and operationally disciplined • Calm under pressure • Comfortable holding accountability • Technically credible with engineers • Clear and direct with customers • Focused on outcomes, not activity This role will not suit someone who prefers individual contribution without people leadership responsibility.
Feb 28, 2026
Full time
SOC Engineering Lead £70,000 - £80,000 DOE Hybrid Working UKSV clearance required candidates must hold or be eligible to obtain clearance. This role leads the Security Engineering function within a high-performing Security Operations Centre. It is a pivotal leadership position responsible for onboarding delivery, platform engineering, detection optimisation and technical transition into live SOC services. The team is technically strong. What it needs is structure, prioritisation and consistent leadership. You will bring clarity, accountability and calm while remaining technically credible and hands-on. This is not a pure management role. You must be able to lead from the front. The Role You will: • Lead and schedule the SOC Engineering team across onboarding and live service activity • Own technical delivery during customer onboarding and transition • Oversee Sentinel connector deployment, Defender integration, rule tuning and SOAR playbooks • Ensure structured service handover into SOC operations with clear documentation • Act as escalation point for complex engineering issues in live environments • Maintain SLA adherence and platform health • Improve detection logic, automation and enrichment capability • Drive engineering standards, reporting clarity and workload discipline • Coach and develop junior engineers • Maintain technical authority across Microsoft Sentinel, Defender suite, Entra ID and Azure security architecture What Success Looks Like • Onboarding delivered on time with validated integrations • Clean handover into SOC with documented runbooks • Improved automation and measurable SOC efficiency gains • A structured, aligned engineering team with clear ownership Essential Experience • Experience leading a Security Engineering team within an MSP, MSSP or SOC environment • Strong hands-on expertise with Microsoft Sentinel and Defender XDR • Deep understanding of Azure security architecture and ingestion strategy • Proven experience configuring connectors and tuning detection rules • Experience with SOAR platforms • Strong KQL capability • Ability to manage competing priorities in fast-paced environments • Experience managing ingestion costs or cloud service optimisation • Confident customer communication Desirable • Integration experience (Mimecast, Darktrace, legacy EDR platforms) • ITIL exposure (change and incident management) • Google Cloud or AWS knowledge • Microsoft security certifications • GIAC, CISSP, CYSA+ or equivalent Leadership Profile You are: • Structured and operationally disciplined • Calm under pressure • Comfortable holding accountability • Technically credible with engineers • Clear and direct with customers • Focused on outcomes, not activity This role will not suit someone who prefers individual contribution without people leadership responsibility.
Principal Data Architect, Secure Government and Defence Programmes Location: UK, hybrid, client site as required Security Requirement: Developed Vetting (DV) clearance is mandatory. This role is only suitable for candidates who currently hold active DV clearance. Overview A leading UK consulting organisation delivering mission-critical digital and data transformation across defence, national security, and sensitive government environments is seeking a Principal Data Architect. This is a senior, client-facing role focused on defining and delivering secure, scalable data platforms within highly classified programmes. Due to the nature of the work and access to classified systems, only candidates with active DV clearance can be considered. Role Responsibilities Define and lead enterprise-level data architecture for complex, secure transformation programmes Architect end-to-end data platforms covering ingestion, integration, storage, governance, and analytics Design secure, resilient, and scalable architectures aligned with defence and national security requirements Translate mission and operational needs into technical data solutions Provide technical leadership across engineering teams and client stakeholders Contribute to capability growth, technical strategy, and thought leadership within secure environments Technical Environment Architectural responsibility across modern and legacy secure platforms, including: Multi-cloud platforms and secure data environments Data lakes, warehouses, and distributed data systems Data ingestion, orchestration, and integration tooling Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture strategy across large, complex client programmes Lead multidisciplinary teams across data, engineering, and delivery functions Provide strategic technical direction and advisory support to senior stakeholders Support business development, technical assurance, and capability development Essential Requirements Active DV clearance (mandatory, non-negotiable) Strong experience designing and delivering enterprise data architectures Experience working in defence, national security, or highly regulated government environments Deep understanding of secure data platform design and cloud architectures Strong stakeholder engagement and consulting capability Experience leading teams and delivering complex programmes
Feb 27, 2026
Full time
Principal Data Architect, Secure Government and Defence Programmes Location: UK, hybrid, client site as required Security Requirement: Developed Vetting (DV) clearance is mandatory. This role is only suitable for candidates who currently hold active DV clearance. Overview A leading UK consulting organisation delivering mission-critical digital and data transformation across defence, national security, and sensitive government environments is seeking a Principal Data Architect. This is a senior, client-facing role focused on defining and delivering secure, scalable data platforms within highly classified programmes. Due to the nature of the work and access to classified systems, only candidates with active DV clearance can be considered. Role Responsibilities Define and lead enterprise-level data architecture for complex, secure transformation programmes Architect end-to-end data platforms covering ingestion, integration, storage, governance, and analytics Design secure, resilient, and scalable architectures aligned with defence and national security requirements Translate mission and operational needs into technical data solutions Provide technical leadership across engineering teams and client stakeholders Contribute to capability growth, technical strategy, and thought leadership within secure environments Technical Environment Architectural responsibility across modern and legacy secure platforms, including: Multi-cloud platforms and secure data environments Data lakes, warehouses, and distributed data systems Data ingestion, orchestration, and integration tooling Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture strategy across large, complex client programmes Lead multidisciplinary teams across data, engineering, and delivery functions Provide strategic technical direction and advisory support to senior stakeholders Support business development, technical assurance, and capability development Essential Requirements Active DV clearance (mandatory, non-negotiable) Strong experience designing and delivering enterprise data architectures Experience working in defence, national security, or highly regulated government environments Deep understanding of secure data platform design and cloud architectures Strong stakeholder engagement and consulting capability Experience leading teams and delivering complex programmes
Juniper Network Engineer initial 6 month contract - 575 - 650 a day - outside IR35 Fully onsite role based - Newbury - (9-day fortnight, every other Friday off) Active DV Clearance is essential We are seeking an experienced Contract Juniper Network Engineer to design, implement, and support enterprise-grade LAN/WAN/WLAN environments. The successful candidate will play a key role in delivering secure, highly available, and scalable network solutions leveraging Juniper technologies, with integration into cloud platforms such as Amazon Web Services (AWS) and Microsoft Azure. Key Responsibilities Design and implement enterprise LAN/WAN/WLAN networks using Juniper technologies Plan and deploy high-availability, resilient, and scalable network architectures Integrate on-premise infrastructure with cloud platforms (AWS, Azure) Configure and manage Juniper routers, switches, and firewalls Implement and administer network security solutions Provide advanced troubleshooting and root-cause analysis across network environments Monitor, maintain, and optimise network performance and capacity Implement network automation using scripting (e.g., Python, Ansible, or similar) Produce and maintain: Network diagrams Standard Operating Procedures (SOPs) Runbooks Configuration and support documentation Participate in an on-call rota (details to be confirmed) Required Skills & Experience Proven experience designing and implementing enterprise networks using Juniper technologies Strong hands-on configuration experience with: Juniper routers (MX series or equivalent) Juniper switches (EX/QFX series) Juniper SRX firewalls Solid understanding of: Routing protocols (BGP, OSPF, IS-IS) VLANs, MPLS, VPNs High-availability and failover technologies Experience integrating enterprise networks with AWS and/or Azure Strong troubleshooting capability in complex, multi-site environments Experience implementing security controls and firewall policies Network automation experience (Python, Ansible, Junos automation, or similar) Ability to produce clear technical documentation Desirable Experience Experience working in secure or highly regulated environments Exposure to multi-site enterprise or critical infrastructure networks Familiarity with monitoring and performance management tools This is an urgent role so if you're interested please send your CV asap
Feb 27, 2026
Contractor
Juniper Network Engineer initial 6 month contract - 575 - 650 a day - outside IR35 Fully onsite role based - Newbury - (9-day fortnight, every other Friday off) Active DV Clearance is essential We are seeking an experienced Contract Juniper Network Engineer to design, implement, and support enterprise-grade LAN/WAN/WLAN environments. The successful candidate will play a key role in delivering secure, highly available, and scalable network solutions leveraging Juniper technologies, with integration into cloud platforms such as Amazon Web Services (AWS) and Microsoft Azure. Key Responsibilities Design and implement enterprise LAN/WAN/WLAN networks using Juniper technologies Plan and deploy high-availability, resilient, and scalable network architectures Integrate on-premise infrastructure with cloud platforms (AWS, Azure) Configure and manage Juniper routers, switches, and firewalls Implement and administer network security solutions Provide advanced troubleshooting and root-cause analysis across network environments Monitor, maintain, and optimise network performance and capacity Implement network automation using scripting (e.g., Python, Ansible, or similar) Produce and maintain: Network diagrams Standard Operating Procedures (SOPs) Runbooks Configuration and support documentation Participate in an on-call rota (details to be confirmed) Required Skills & Experience Proven experience designing and implementing enterprise networks using Juniper technologies Strong hands-on configuration experience with: Juniper routers (MX series or equivalent) Juniper switches (EX/QFX series) Juniper SRX firewalls Solid understanding of: Routing protocols (BGP, OSPF, IS-IS) VLANs, MPLS, VPNs High-availability and failover technologies Experience integrating enterprise networks with AWS and/or Azure Strong troubleshooting capability in complex, multi-site environments Experience implementing security controls and firewall policies Network automation experience (Python, Ansible, Junos automation, or similar) Ability to produce clear technical documentation Desirable Experience Experience working in secure or highly regulated environments Exposure to multi-site enterprise or critical infrastructure networks Familiarity with monitoring and performance management tools This is an urgent role so if you're interested please send your CV asap
Salary:£40k - £80k Methods Analytics (MA) is recruiting for a Data Engineer to join our team permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Lead technical aspects of data engineering projects, providing direction and mentorship to junior and mid-level engineers Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines Build highly scalable and performant data solutions leveraging cloud platforms and open-source software Develop data models to handle enterprise-level analytical needs Make critical technical decisions on tools, frameworks, and approaches for complex data challenges Optimise large-scale data processing systems for performance and cost-efficiency Implement robust data quality frameworks and monitoring solutions Evaluate new technologies to enhance our data engineering capabilities Collaborate with stakeholders to translate business requirements into technical specifications Present technical solutions to leadership and non-technical stakeholders Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Elevate the technical capabilities of the entire data engineering team Help cultivate a data-driven culture within the organisation Establish technical standards and patterns that ensure quality and maintainability You Will Demonstrate: Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Experience mentoring junior engineers and providing technical guidance Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large-scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow Experience with containerisation technologies like Docker Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Experience implementing and advocating for test driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Strong communication skills for translating complex technical concepts Track record of successful project delivery in a technical leadership capacity You may also have some of the desirable skills and experience: Experience designing and implementing data mesh or data fabric architectures Knowledge of cost optimisation strategies for cloud data platforms Experience with data quality frameworks and implementation Understanding of data lineage and metadata management Experience with technical project management Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with high-performance, large-scale data systems Knowledge of recent innovations in AI/ML and GenAI Defence/Public Sector consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Annual two day technical hackathon bringing together all technical teams for innovation and collaboration Monthly Engineering & Architecture Community of Practice event Bi annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organization Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included) Life Assurance of 4 times base salary Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causes
Feb 27, 2026
Full time
Salary:£40k - £80k Methods Analytics (MA) is recruiting for a Data Engineer to join our team permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Lead technical aspects of data engineering projects, providing direction and mentorship to junior and mid-level engineers Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines Build highly scalable and performant data solutions leveraging cloud platforms and open-source software Develop data models to handle enterprise-level analytical needs Make critical technical decisions on tools, frameworks, and approaches for complex data challenges Optimise large-scale data processing systems for performance and cost-efficiency Implement robust data quality frameworks and monitoring solutions Evaluate new technologies to enhance our data engineering capabilities Collaborate with stakeholders to translate business requirements into technical specifications Present technical solutions to leadership and non-technical stakeholders Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Elevate the technical capabilities of the entire data engineering team Help cultivate a data-driven culture within the organisation Establish technical standards and patterns that ensure quality and maintainability You Will Demonstrate: Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Experience mentoring junior engineers and providing technical guidance Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large-scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow Experience with containerisation technologies like Docker Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Experience implementing and advocating for test driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Strong communication skills for translating complex technical concepts Track record of successful project delivery in a technical leadership capacity You may also have some of the desirable skills and experience: Experience designing and implementing data mesh or data fabric architectures Knowledge of cost optimisation strategies for cloud data platforms Experience with data quality frameworks and implementation Understanding of data lineage and metadata management Experience with technical project management Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with high-performance, large-scale data systems Knowledge of recent innovations in AI/ML and GenAI Defence/Public Sector consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Annual two day technical hackathon bringing together all technical teams for innovation and collaboration Monthly Engineering & Architecture Community of Practice event Bi annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organization Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included) Life Assurance of 4 times base salary Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causes
