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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cybersec Data Platform Solution Engineer - **Company:** Experis - **Location:** Sheffield, UK - **Contract:** Permanent contract - **Skills:** Microsoft Access, Airflow, Amazon Web Services, Apache HTTP Server, Microsoft Azure, Big Data, Cyber Security, Identity and Access Management, Key Management, Open Source Technology, Systems Development Life Cycle, Role-Based Access Control, Software Engineering, Software Vulnerability Management, Data Logging, Apache Spark, Restful APIs - **Published:** September 16, 2026 - **Apply:** https://www.experis.co.uk/job/cybersec-data-platform-solution-engineer-6029444/apply ## About the Role * Strong team player, able to collaborate effectively with colleagues across geographies, time zones, and cultures. * Excellent written and verbal communication skills, with the ability to explain complex technical topics clearly. * Able to influence without authority; confident facilitating design workshops and governance forums. * Strong prioritisation and pragmatic decision-making, balancing target architecture with delivery realities. * Comfortable designing solutions end-to-end, while also able to roll up sleeves and contribute hands-on (including coding where needed). * Skills and knowledge * Demonstrable experience designing, deploying, and operating big data platforms at scale. * Hands-on experience with OSS data ecosystems (e.g., Spark, Trino, Airflow, Apache Superset, and similar technologies). * Knowledge of cloud platforms and traditional on-premise hosting; hands-on experience with Azure, AWS and/or GCP is beneficial. * Proven security architecture expertise, including: * Threat modelling and secure-by-design practices * IAM (RBAC/ABAC), privileged access concepts, and service-to-service authentication * Encryption in transit/at rest, key management, secrets management * Secure logging/telemetry, auditability, and evidence-driven control assurance * Secure SDLC, vulnerability management, and dependency/supply-chain risk controls * Proven experience delivering end-to-end solution designs, from requirements through to production operations and support. ## Description Cybersecurity Sciences & Analytics (CSA) is a ~$50m and ~150 headcount function, bringing together expertise across cybersecurity, data science, AI, software and cloud engineering, governance, and programme management to: * Deliver cyber analytics capabilities that measurably improve cyber prevention, control effectiveness, and the resilience of operations across the cyber lifecycle * Engineer, automate, and continuously enhance cyber detection and response capabilities to enable effective, resilient, and scalable security operations * Provide trusted Cyber risk, control, and regulatory insights that inform executive decision-making and investment prioritization * Ensure cyber products, data, and bank-wide AI use cases comply with cyber risk appetite, regulatory requirements, and data standards, through effective data and AI governance * Evolve Cyber analytics platforms, products, and engineering practices through a controlled maturity roadmap, to improve platform and operational resilience, efficiency, and sustainability without increasing risk This Technical Solution Engineer is a hands-on architecture and solution design specialist in CSA's Strategy and Governance team. They shape and assure end-to-end technical designs that enable CSA's cyber analytics and engineering outcomes. They define and maintain key architecture artefacts (HLDs/LLDs, reference architectures, patterns, and ADRs). They also drive technology evaluation and standardisation across an open-source, petabyte-scale data platform. They own solution designs for custom cybersecurity applications, from requirements through to production support. Partnering with engineering, platform, and central architecture/governance teams, they run design and governance forums and influence without authority. They'll bring genuine cybersecurity expertise-threat modelling, security controls, identity and access, encryption, logging, and secure SDLC-so CSA's platforms and products can be trusted in production and stand up to regulatory scrutiny. They balance target architecture with delivery realities, collaborate across geographies, and contribute hands-on when needed, including coding. The ideal candidate will possess a strong technical background, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. Principal Responsibilities * Define and maintain architecture artefacts, including HLDs/LLDs, reference architectures, patterns, ADRs (Architecture Decision Records), and reusable templates. * Contribute to the design and evolution of a petabyte-scale data platform built on open-source technologies. * Evaluate technologies and drive standardisation: assess OSS components and vendors, run PoCs, document trade-offs, and promote reusable patterns to reduce fragmentation. * Own the end-to-end solution design for custom-built applications that support the Bank's cybersecurity ambition. * Provide architecture and design input to software engineering and platform teams to support implementation and delivery. * Partner with central architecture and governance teams to ensure solutions align with the Bank's controls, policies, standards, and guardrails. * Help ensure solutions remain compliant, operationally supportable, and within agreed cost boundaries. * Person requirements ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [REST In Peace: Why LLMs Can't CRUD](https://www.wearedevelopers.com/videos/100272-rest-in-peace-why-llms-can-t-crud) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Events like RSAC Get You CISOs. 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