data engineer

software engineer

ai engineer

machine learning engineer

senior software engineer

data integration engineer

<div>Role description 
Job Title: Senior Snowflake Engineer

Location: [London/ UK &ndash; Hybrid, 3 days work from client office]

Employment Type: [Permanent/FTC / Contract inside IR35]

 Immediate Candidates preferred

Applicants must be legally authorized to work in the United Kingdom without the need for current or future visa sponsorship 

Job Summary:
We are seeking a skilled Senior Snowflake Engineer to join our client's Platform Engineering 
team. As the Senior Snowflake Engineer, you will lead the architecture, design, and implementation of Snowflake for various domain teams in a multi-tenant environment. You will ensure that the platform meets the needs of multiple teams while maintaining high levels of performance, reliability, and security. 
 
Responsibilities: 
 
As a Senior Snowflake Engineer, you will:
<ul>
<li>Play a key role in modernizing an enterprise data function following a decentralized approach 
breaking silos.</li>
<li>Work closely with domain teams to understand their needs and translate them into technology solutions.</li>
<li>Provide expertise as a technical resource to solve complex business issues that translate into 
data integration and database systems designs.</li>
<li>Problem-solve to resolve issues and remove barriers throughout the lifecycle of domain team 
engagements.</li>
<li>Ensure all deliverables are of high quality by setting development standards, adhering to the 
standards, and participating in code reviews.</li>
<li>Participate in integrated validation and analysis sessions of components and subsystems on 
production servers.</li>
<li>Mentor, support, and manage team members.</li>
<li>Create runtime tools/processes that optimize cloud triaging and limit downtime.</li>
<li>Define best practices around making our systems and services measurable.</li>
<li>Participate in on-call rotation and ensure uptime of services.</li>
<li>Introduce tools to facilitate greater automation and operability of services.</li> 
</ul>
Our Ideal Senior Snowflake Engineer will have:
<div>
<ul><li>Experience in the implementation, execution, and maintenance of Data Integration technology solutions.</li></ul>
<ul><li>Experience advancing and supporting information management practices within business 
processes, applications, and technology that underpin the data discipline (e.g. establishing data quality processes, performing data analysis, participating in technology implementation 
planning, implementing data integration processes, etc.).</li></ul>
<ul><li>Expertise in Snowflake data modeling, ELT using snowpipe, implementing stored procedures, 
and standard DWH and ETL concepts.</li></ul>
<ul><li>Expertise in Snowflake concepts like setting up resource monitors, RBAC controls, virtual 
warehouse, query performance tuning, Zero copy clone, time travel, and understanding how to use these features.</li></ul>
<ul><li>Experience in Data Migration from RDBMS to Snowflake cloud data warehouse.</li></ul>
<ul><li>Experience with enterprise cloud economics.</li></ul>
<ul><li>Experience in enterprise data management concepts (Data Governance, Data Engineering, DataScience, Data Sharing, Data Applications).</li></ul>
<ul><li>Hands-on expertise with SQL and SQL analytics.</li></ul>
<ul><li>Industry benchmarking experience in major industries such as Financial Services and Retail.</li></ul>
<ul><li>Experience with DevOps tools like Azure DevOps (ADO), GitHub, and Octopus Deploy.</li></ul>
<ul><li>Experience building solution using DBT, Python and Snowpark.</li></ul>
<ul><li>Good knowledge of distributed systems, APIs, cloud computing patterns.</li></ul>
<ul><li>Ability to debug, troubleshoot, and resolve complex technical issues.</li></ul>
<ul><li>Self-driven and motivated, with a strong work ethic and a passion for problem-solving.</li></ul>
</div>
If you are interested, please apply for an immediate discussion with Talent team 

#UST 
Skills 
snowflake,snowpipe,rbac,elt, 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Senior Snowflake Engineer (Lead I - Data Engineering)

Neal's Yard Remedies

Love SQL, DBT, ETL and WMS?
 Love an abbreviation?
 We do too!
 You'll be a tech wizard with previous experience within a Retail business. You'll loves data and can extract, formulate, and manipulate data to create insightful reports to tell the right stories and set business focus. You will be an enabler for Neals Yard Remedies, harnessing the power of technology to drive insight, innovation and impact. You'll help shape our future data landscape, building the infrastructure and tools to empower our teams to make bold data led decisions.
 With a laser focus on the reliability, stability and continuous improvement of our data and integration landscape, you'll support critical systems that underpin retail, distribution and operational processes. You'll maintaining and enhance data pipelines, integrations and platform capabilities that enable the business to operate effectively every day.
 Working across data engineering and systems integration, you'll help drive best practice, improve documentation, strengthen platform resilience and support the business through reliable, trusted data and connected systems.
 Forward thinking in your approach, you'll help design and deploy scalable data solutions to help unlock opportunities, aligned with our strategic objectives, including building ETL pipelines, whilst collaborating across departments to ensure data is easily accessible.
 You'll enjoy assisting teams in a true partnering capacity, comfortable challenging where necessary, using your excellent communication skills to effectively communicate technical information to non-technical personnel. You'll have the ability to directly influence and support commercial decision making.
 You'll join a fast paced and fun environment, where no two days are the same, playing a critical role in managing our data story and delivering real value. Our working culture has the perfect mix of responsibility and ownership, balanced with support and encouragement. You'll have freedom in this role to carve your own path, but with the safety net of a knowledgeable and supportive wider Technology Team.
 
We are open to applications from a Senior Data/ Software Engineer or someone ready to make the next step in their career. Passion for what you do is paramount, as we believe in you, to do what you do well, in our beautifully unique environment.
 
What you'll have: 
Strong hands-on experience with Snowflake in a production environment
 Experience working with Netsuite and supporting ERP integrations, is an advantage
 Advanced SQL skills and experience developing data transformation solutions using dbt
 Experience working with Jitterbit or a comparable iPaaS integration platform
 Knowledge of Shopify integrations and eCommerce systems
 Strong understanding of FTP/SFTP protocols and file transfer configuration
 Experience supporting enterprise data and integration platforms in a live operational environment
 Experience working with EDI integrations and data exchange processes
 Understanding of warehouse management system (WMS) integrations would be beneficial
 Knowledge of JavaScript and HTML is desirable
 
What you'll get: 
Generous employee discount
 Casual dress
 Company pension
 Long service benefits
 Paid community days
 25 days annual leave plus Bank Holidays
 Employee Assistance Programme

Senior Data / Software Engineer

Hexegic

<div>Hexegic is a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career.
The Role
The Data Pipeline Engineers ensure that our customer work with updated and correct data in our data analytics tool. You are the first to respond to data health failures on key pipelines. You will be comfortable reading code to identify fixes and making changes.
Core Responsibilities
<ul><li>Maintain build schedules so that pipelines run effectively.
</li><li>Setting up and maintaining health checks on different data pipelines
</li><li>Respond, Triage, and debug the data pipeline when broken.
</li><li>Reading code and writing code changes and/or modifying the monitoring set-up
</li><li>Knowing and understanding how to navigate the data pipelines and documentation.
</li><li>Following Standard Operating Procedures to contact other teams and data providers when data is incorrect or not received on time.
</li><li>Communicating outages with the end users of a data pipeline
</li></ul>What We Value
<ul><li>Comfortable reading and writing code in Python, Pyspark</li><li>
Basic understanding of Spark and interested in learning the basics of tuning Spark jobs.
</li><li>Data pipeline monitoring team members should be able to use and navigate pipeline development tools.
</li><li>Experience supporting data integration technologies.</li></ul></div>

Data Pipeline Engineer

Octopus Energy

<div>
 
 
 What we do.
 
 Electric Car Leasing
 
 
 
 
 
 
 Why we do it.
 
 Greener. Fairer. Future.
 
 
 
 
 
 
 
 
 At Octopus Electric Vehicles we&rsquo;ve built a data platform that provides data services to all areas of our business. The aim of the platform is to enable self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to ML training and prediction.&nbsp;
 
 
 
 The data team at OEV is growing at speed. We have invested time and resources on establishing a core data platform, and are now leveraging technology to automate processes and reporting, so we can focus on improving how our data platform works as a system - from improving data latency and reliability, to thinking about making our data ready for productionised data science applications.
 
 
 
 We are looking for an experienced data engineer that is equally passionate about using technology to grow the business and decarbonise the UK&rsquo;s fleet.
 
 
 
 This is a fantastic opportunity to work on data problems that genuinely move us closer to Net Zero with a company that is passionate about building great technology to change the way customers travel sustainably.
 
 
 
 
 
 
 What you'll do
 
 
 <ul>
 
 <li>
 
 
 Own and optimise our platform architecture (improve reliability, scalability, maintainability, etc)
 
 
 </li>
 
 <li>
 
 
 Build new data sources and data pipelines that deliver key data and insights to the business (this will include integration with third party systems and ingestion through APIs)
 
 
 </li>
 
 <li>
 
 
 Scope and deliver new data engineering projects in collaboration with business stakeholders
 
 
 </li>
 
 <li>
 
 
 Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases
 
 
 </li>
 
 <li>
 
 
 Collaborate closely with our dev teams to build seamless integrations between our back-end databases and our data platform
 
 
 </li>
 
 <li>
 
 
 Shape the direction of our growing team and coach team members on best practices
 
 
 </li>
 
 
 </ul>
 
 
 
 
 
 What you'll have
 
 
 You don&rsquo;t need experience with electric vehicles (we can teach you that!), but having worked in similar environments might be a bonus.
 
 
 <ul>
 
 <li>
 
 
 First and foremost, a passion for decarbonisation
 
 
 </li>
 
 <li>
 
 
 Ability to work with ambiguity and own problems end-to-end
 
 
 </li>
 
 <li>
 
 
 A passion for writing high quality code and building lean processes
 
 
 </li>
 
 <li>
 
 
 Experience with distributed data processing
 
 
 </li>
 
 <li>
 
 
 Experience with monitoring, testing, and data quality
 
 
 </li>
 
 <li>
 
 
 Experience building robust pipelines from diverse sources e.g. parquet, SQL &amp; no-SQL databases, API endpoints
 
 
 </li>
 
 <li>
 
 
 It would be helpful to have experience/expertise/knowledge in the following:
 
 
 <ul>
 
 <li>
 
 
 Python
 
 
 </li>
 
 <li>
 
 
 AWS
 
 
 </li>
 
 <li>
 
 
 Kubernetes
 
 
 </li>
 
 <li>
 
 
 Spark &amp; distributed computing
 
 
 </li>
 
 <li>
 
 
 dbt
 
 
 </li>
 
 <li>
 
 
 Terraform
 
 
 </li>
 
 <li>
 
 
 Data Warehousing (we use Databricks but experience with other platforms is fine)
 
 
 </li>
 
 <li>
 
 
 MLOps implementation (desirable but not required)
 
 
 </li>
 
 <li>
 
 
 Airflow (or other orchestration tooling)
 
 
 </li>
 
 <li>
 
 
 Governance
 
 
 </li>
 
 
 </ul>
 
 </li>
 
 
 </ul>
 
 
 
 
 Why else you'll love it here
 
 <ul>
 
 <li>
 💰 Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
 </li>
 
 <li>
 🎉 Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! 🎁 Visit our perks hub - Octopus Employee Benefits
 
 
 </li>
 
 <li>
 🏆 Octopus Electric Vehicles, part of the Octopus Energy Group, won the Sunday Times best company to work for in 2024. We were named 6th out of the top 100 start-ups to work for by Tempo in 2025 and on Glassdoor we were voted 50 best places to work in 2022. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We&rsquo;ve also been placed in the top 10 companies for senior leadership
 </li>
 
 
 </ul>
 
 
 
 
 Things to note
 
 
 <ul>
 
 <li>
 🐶
 
 Just to let you know, we are dog friendly company so you may see our 4 legged friends in the offices - feel free to bring yours! Rest assured though, we've taken lots of precautions for those who have allergies
 
 </li>
 
 <li>
 
 
 
 🤖 We use AI to help us assess applications fairly and objectively. We&rsquo;re totally fine with you using AI as a tool to help prepare too. That said, when we get to the interview and assessment stage, we&rsquo;re really interested in hearing your unique perspective and real-world stories. That&rsquo;s the stuff we can&rsquo;t get from a bot or a prompt!
 
 
 
 </li>
 
 
 </ul>
 
 
 
 
 
 
 
 
 About us
 
 
 
 
 &nbsp;
 
 
 
 The electric revolution has arrived - and from 2035 you&rsquo;ll no longer be able to buy a new petrol or diesel car in the UK.&nbsp;
 
 
 
 &nbsp;
 
 
 
 We&rsquo;re building a whole new way for drivers to join the electric charge and not only learn about and shop for their EV online, but experience a 'lease for life' through an industry changing customer experience. This is the chance to join one of the UK&rsquo;s most exciting start-ups - making it easy for individuals and businesses to go electric by getting their car, charger and energy all in one cracking deal.
 
 
 
 &nbsp;
 
 
 
 Octopus Electric Vehicles launched in 2018 to make it seamless to switch to cleaner, greener driving. Our mission is to drive sustainable change, decarbonise the planet and provide our customers with fair pricing and a fantastic experience.&nbsp;
 
 
 
 &nbsp;
 
 
 
 We're an Octopus Energy company&amp;mdash;an innovative new energy supplier. We are part of the Octopus Energy Group, which seeks to improve the lives of millions of people by transforming the industries we operate in. The Octopus Group incorporates Octopus Energy, Octopus Healthcare, Octopus Investments, Octopus Property, Octopus Ventures and Octopus Labs.
 
 
 
 
 
 
 If this sounds like you then we'd love to hear from you.
 
 
 
 
 
 
 
 Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential.&nbsp;
 
 
 
 Need any specific accommodations?&nbsp;
 
 
 
 Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!
 
 
 
 
 
 
 
 Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
 
 
 
 
 Where necessary, we sometimes use AI tools to help with parts of our hiring process, like reviewing applications or assessing responses.
 
 
 We&rsquo;re lucky to receive a huge amount of interest, so these tools help our recruiters manage that volume, not replace them. Ultimately, every hiring decision (for example, whether to progress your application or not) is always made by a real person in our Talent team.
 
 
 If you&rsquo;d like to know more about how we use your data, you can reach out to us via email at talent@octoenergy.com. We&rsquo;re happy to help!
 
 
 
 
 
</div>

Data Engineer

Kryptos Technologies Limited

<div><h2 class="jobSectionHeader">Tasks</h2>

AWS QA Engineer (App Modernization &amp; AI-driven Testing)

Duration: 4 -6 months

Location: London -Hybrid (3 Days onsite)

Role Overview

We are seeking a skilled AWS QA Engineer with strong experience in testing serverless and event-driven architectures. The role focuses on validating modern cloud-native applications built on AWS, ensuring high quality across application modernization programs, while leveraging AI-assisted testing using AWS Kiro.

Key Responsibilities

Functional &amp; Automation Testing (AWS Serverless)
<ul>
<li>Design, develop, and execute test strategies and test cases for applications built on:
</li>
<li>AWS Lambda, API Gateway
</li>
<li>Amazon EventBridge
</li>
<li>Amazon Kinesis Data Streams
</li>
<li>Validate event-driven and streaming workflows, including message processing and data consistency.
</li>
<li>Develop automated test scripts to validate:
</li>
<li>API responses
</li>
<li>Event flows and triggers
</li>
<li>Data persistence in DynamoDB / S3
</li>
</ul>Event-driven &amp; Streaming Validation
<ul>
<li>Create and execute test scenarios for:
</li>
<li>Kinesis stream data ingestion and processing
</li>
<li>Event orchestration via EventBridge
</li>
<li>Validate end-to-end workflows across microservices and serverless components.
</li>
<li>Perform integration testing and contract testing across services.
</li>
</ul>Application Modernization Testing
<ul>
<li>Support testing for modernized applications (legacy cloud-native).
</li>
<li>Perform:
</li>
<li>Functional testing
</li>
<li>Regression testing (pre/post migration comparison)
</li>
<li>System Integration Testing (SIT)
</li>
<li>Validate API-driven and microservices-based architectures [AWS Server...sting v1.0 | PowerPoint]
</li>
</ul>AI-driven Testing (Kiro)
<ul>
<li>Leverage AWS Kiro for AI-assisted testing to improve productivity.
</li>
<li>Use AI for:
</li>
<li>Test case generation
</li>
<li>Test data preparation
</li>
<li>Automated validation and defect detection
</li>
<li>Contribute to AI-enabled quality engineering practices.
</li>
</ul>Performance, Reliability &amp; Security Testing
<ul>
<li>Execute:
</li>
<li>Performance and load testing for serverless workloads
</li>
<li>Resilience and failure scenario testing (event loss, retries, scaling)
</li>
<li>Validate:
</li>
<li>Security and access controls (IAM roles, authentication flows)
</li>
<li>Data integrity and system reliability
</li>
</ul>Automation &amp; DevOps Integration
<ul>
<li>Build and maintain automated testing frameworks for AWS workloads.
</li>
<li>Integrate testing into CI/CD pipelines.
</li>
<li>Enable automated validation for:
</li>
<li>Serverless APIs
</li>
<li>Event-driven systems
</li>
<li>Ensure continuous testing and fast feedback cycles.
</li>
</ul><h2 class="jobSectionHeader">Requirements</h2>

Required Skills &amp; Experience

Core Testing &amp; AWS Skills
<ul>
<li>Strong experience in QA / Automation testing for cloud applications
</li>
<li>Hands-on experience with:
</li>
<li>AWS Lambda
</li>
<li>Amazon EventBridge
</li>
<li>Amazon Kinesis Data Streams
</li>
<li>API Gateway
</li>
<li>DynamoDB and S3
</li>
<li>Experience testing event-driven and serverless architectures
</li>
<li>Test Automation &amp; Tools
</li>
<li>Experience with:
</li>
<li>Automation frameworks (Jest framework, Java/Springboot, or similar)
</li>
<li>API testing tools (Postman, REST clients)
</li>
<li>Ability to:
</li>
<li>Create automated test suites
</li>
<li>Validate JSON-based inputs/outputs for APIs and events
</li>
<li>Knowledge of:
</li>
<li>BDD frameworks (Cucumber - good to have)
</li>
</ul>Application Modernization Testing
<ul>
<li>Experience in testing:</li>
<li>Microservices architectures</li>
<li>API-first systems</li>
<li>Strong understanding of:</li>
<li>Integration flows</li>
<li>Data validation across distributed systems</li>
</ul>
AI &amp; Innovation
<ul>
<li>Exposure to:</li>
<li>AI-assisted testing (AWS Kiro preferred)</li>
<li>Test automation using GenAI tools</li>
<li>Interest in driving AI-enabled QA practices</li>
</ul>
DevOps &amp; Engineering Practices
<ul>
<li>Experience integrating tests within:</li>
<li>CI/CD pipelines (GitHub Actions, Jenkins)</li>
<li>Familiarity with:</li>
<li>Infrastructure as Code validation (CDK)</li>
<li>Monitoring tools (CloudWatch)</li>
</ul>
Preferred Qualifications
<ul>
<li>AWS Certified (Developer or Cloud Practitioner)</li>
<li>Experience with:</li>
<li>Streaming platforms (Kafka/MSK)</li>
<li>Performance and security testing tools</li>
<li>Exposure to enterprise-scale AWS modernization programs</li></ul></div>

AWS QA Engineer ( App Modernization & AI driven Testing)

HCLTech

City Of London, England
 Job Summary
 
Job Title: Physical AI Engineer (Robotics & Agentic Systems)
 We are looking for an engineer to build the Physical AI solutions using Robotics and edge devices on Google stack. You will integrate Deepmind Robotics model with Gemini 3 foundation models to create autonomous agents that perceive, reason, and act in dynamic industrial environments. Your work will involve moving Physical AI from simulation (MuJoCo-Warp) to production-grade hardware at scale.
 
Key Responsibilities
 
Key Responsibilities
 <ul>
<li>Model Integration: Deploy Gemini Robotics-ER (Embodied Reasoning) models to enable robots to understand natural language instructions and physical causality.</li>
<li>Workflow Orchestration: Utilize the Gemini Enterprise Agent Platform to build agentic workflows that connect cloud-based reasoning with edge-based execution.</li>
<li>Simulation & Training: Use MuJoCo-Warp and G4 VMs (NVIDIA Blackwell) to run high-fidelity simulations, generating synthetic data to train robots on complex edge cases.</li>
<li>Hardware Abstraction: Work within Intrinsic Flowstate to develop hardware-agnostic "Skills" (robotic behaviors) that can be deployed across various robotic arms and sensors (Universal Robots, Foxconn, etc.).</li>
<li>System Optimization: Implement the JAX AI Stack (JAX, Flax, Optax) for efficient, accelerator-oriented computation on Google TPUs and NVIDIA GPUs.</li>
</ul>
Skill Requirements
 
Technical Requirements
 Category Stack Components
 Foundation Models Gemini 1.5/3.0, RT-2 (Robotics Transformer), Gemini Robotics-ER
 Software Platform Intrinsic Flowstate, ROS 2 (Robot Operating System), Python
 Compute & Infra Google Cloud Vertex AI, Google Distributed Cloud (Edge), TPUs
 Physics Engines MuJoCo-Warp, NVIDIA Isaac Sim integration
 Data & ML JAX, XLA (Accelerated Linear Algebra), Orbax (Checkpointing)
 
#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

Principal Engineer

ByDesign Secure

This role is delivered within secure environments. Candidates must be eligible for UK SC and DV clearance and hold UK Citizenship.Opening: Join the MissionAt ByDesign Secure, we believe that world-class security shouldn't be an afterthought&mdash;it should be the foundation. We are an independent, outputs-based consultancy dedicated to solving the most complex data assurance challenges in the UK public sector. Currently, we are working on a landmark transformation of a cross-government secure IT system. This is an exciting opportunity to help architect a private cloud environment from the ground up and modernize the end-user services that power national decision-making. We don't believe in &quot;billing by the hour&quot; or rigid hierarchies; we are a lean, expert team focused on delivering high-impact technical outcomes. If you are a self-starter who thrives on autonomy and wants to see your engineering or architectural decisions shape the future of sovereign security, we want to talk to you.About the Opportunity<ul><li>We are seeking a skilled Cloud Security Engineer to design and implement secure workloads within a Google Distributed Cloud (GDC) environment.</li><li>This role is ideal for a security professional with a strong GCP background (Other CSP experience also considered) and an active Professional Cloud Security Engineer certification, as these competencies are directly transferable to managing security in air-gapped or edge configurations.</li><li>You will be responsible for ensuring security, rigour, and compliance within mission-critical government secure delivery.</li></ul>What You&rsquo;ll Be Doing<ul><li>Identity &amp; Access Management: Designing and managing complex identity architectures, including single sign-on (SSO) integration, multi-factor authentication (MFA), and the automated lifecycle management of privileged user accounts.</li><li>Authorisation &amp; Resource Hierarchy: Defining granular resource hierarchies and implementing the principle of least privilege using advanced identity policies, conditions, and organizational constraints.</li><li>Boundary &amp; Perimeter Protection: Configuring robust network defences, including next-generation firewalls, web application firewalls (WAF), and secure service perimeters to isolate sensitive workloads.</li><li>Data Protection &amp; Encryption: Implementing discovery and redaction services for sensitive data (PII) and managing full-lifecycle encryption through hardware or software-based key management systems.</li><li>Securing the Software Supply Chain: Automating vulnerability scanning and policy enforcement within continuous integration and delivery (CI/CD) pipelines to ensure only authorised code is deployed.</li></ul>Key Tools/Working practices<ul><li>Use GDC Console, gdcloud CLI, and kubectl to manage infrastructure, users, workloads, security policies, and platform resources across projects and clusters</li><li>Implement Terraform and Ansible with Git‑based workflows to deliver repeatable, version‑controlled infrastructure and configuration (GitOps), including Config Sync for consistent environments</li><li>Configure IAM, RBAC, service accounts, and identity provider integration to enforce least‑privilege access and secure authentication, with policy enforcement via OPA Gatekeeper</li><li>Define and secure network boundaries using project network policies (ingress/egress control) and manage encryption and trust with KMS and Certificate Authority services</li><li>Build and package applications using Docker and Helm, store images in Harbor, and integrate vulnerability scanning (e.g. Trivy) to detect and remediate issues before deployment</li><li>Test and interact with APIs using curl/REST tools and develop AI capabilities using Vertex AI libraries and notebook environments (e.g. JupyterLab)</li><li>Monitor and troubleshoot using Grafana, Prometheus, and Loki for metrics and logs, with audit logging and SIEM integration for security and compliance</li><li>Configure alerting for failures, anomalies, and SLO breaches, and implement backup and restore processes for resilience and disaster recovery</li><li>Use platform documentation and support channels to validate configurations, follow operational procedures, and resolve issues</li></ul>What You&rsquo;ll Bring<ul><li>Demonstrable experience as a practicing Security Engineer, with the ability to transition cloud-native security best practices to a distributed/edge platform.</li><li>Deep proficiency in configuring network security defences, threat monitoring, and regulatory compliance controls.</li></ul>Bonus Points For<ul><li>Current, non-expired Professional Cloud Security Engineer certification.</li><li>Experience operating within or alongside classified UK Government secure environments (e.g., SECRET or above).</li><li>Familiarity with GDS Service Standards or equivalent public sector delivery frameworks.</li><li>Experience working in air-gapped or disconnected environments with little or no internet connectivity</li></ul>Clearance Requirements:<ul><li>This role requires either an existing Security Clearance (SC level) or for one to be passed before commencement. There must be a willingness to undergo Developed Vetting (DV).</li></ul>Work Location: Hybrid remote in LondonJob Types: Temporary, Fixed term contract (Outside of IR35)Job Types: Fixed term contract, TemporaryPay: &pound;650.00 per dayApplication question(s):<ul><li>Do you currently hold active UK SC clearance? </li><li>Do you hold UK nationality? (Required due to client security restrictions) </li><li>Are you eligible and willing to undergo UK SC/DV clearance for this role? (Applications without this cannot be considered)</li><li>Does your delivery approach allow for on-site presence in London when required (typically around 3 days per week)?</li></ul>Work Location: Hybrid remote in London

Cloud Security Engineer – SC Eligible – Government Projects

Explore 1062+ Data integration engineer in London this July. Find roles across top companies and apply now to boost your career.