123 jobs found

At Stantec, our Functional Services Teams play a critical role in enabling the success of our people, projects, and clients. From digital transformation and technology innovation to finance, HR, legal, and operational excellence, we bring together diverse expertise to create a stronger, more resilient business. As part of our continued digital evolution, we are looking for a Junior GenAI Developer to join our Digital Centre of Excellence (DCoE). This is an exciting opportunity to help shape the future of enterprise AI at Stantec, driving the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions that create real business value across the organisation. Working alongside data scientists, architects, engineers, and business stakeholders, you will help establish the foundations for scalable, secure, and responsible AI adoption while contributing to innovative solutions that enhance productivity, decision-making, and operational efficiency. About the Role As a Junior GenAI Developer, you will lead the design, development, and deployment of enterprise-grade Generative AI and Agentic AI solutions, supporting a growing portfolio of AI initiatives across Stantec. You will work across the full solution lifecycle, helping to build and operationalise technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, AI agents, multi-agent systems, and intelligent automation solutions. A significant focus of the role will be ensuring that AI capabilities are delivered in a scalable, secure, and well-governed manner that aligns with enterprise architecture standards and responsible AI principles. Working closely with AI specialists, product owners, engineering teams, and business stakeholders, you will help define technical standards, establish architectural patterns, and guide implementation approaches. You will also support the integration of AI solutions with enterprise systems, data platforms, APIs, and knowledge repositories while ensuring robust security, compliance, and governance controls are embedded throughout. In addition, you will play a key role in evaluating emerging technologies, continuously exploring new opportunities to enhance Stantec's AI capabilities and drive innovation across the business. Your Impact In this role, you will help shape how artificial intelligence is adopted and scaled across Stantec, enabling teams to work more efficiently, make better-informed decisions, and unlock new opportunities through innovative technology solutions. By designing and implementing enterprise AI architectures, you will ensure that generative and agentic AI capabilities are both technically robust and aligned to business objectives. Your work will help establish trusted frameworks for AI governance, safety, security, and compliance, creating solutions that can be confidently deployed at scale. Through your collaboration with technical and business teams, you will help bridge the gap between emerging AI technologies and practical business applications, turning innovative concepts into measurable outcomes. From developing intelligent agents and automation capabilities to enhancing knowledge management and decision support systems, your contribution will directly influence the future of digital transformation within the organisation. Ultimately, you will play a pivotal role in building Stantec's AI capability, helping to create innovative, responsible, and scalable solutions that drive long-term value across the business. About You You are a technically strong AI professional with a passion for emerging technologies and a proven track record of delivering innovative digital solutions. You enjoy solving complex problems, working across multidisciplinary teams, and translating cutting-edge AI concepts into practical business outcomes. You will bring: Experience designing and delivering AI, machine learning, or Generative AI solutions within enterprise environments Strong knowledge of cloud-based architectures, APIs, and modern data and AI platforms Hands-on experience developing custom AI agents and AI-powered solutions Experience working with platforms such as Azure AI Foundry and Microsoft Copilot Studio Knowledge of enterprise AI governance, security, privacy, and responsible AI practices Experience integrating AI capabilities with enterprise applications, data platforms, and APIs Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to both technical and non-technical audiences Experience working within agile, multidisciplinary delivery teams An understanding of application deployment, hosting, and scaling within Azure environments Desirable: Experience designing and deploying multi-agent systems, RAG architectures, and intelligent automation solutions Experience developing and deploying Microsoft Copilot Studio agents, including topics, actions, integrations, and orchestration logic Knowledge of AI model lifecycle management, evaluation, monitoring, and operational governance Education & Experience: Master's degree (or higher) in Computer Science, Engineering, or a related field, or equivalent practical experience Experience delivering AI/ML solutions, including recent hands-on experience with Generative AI technologies Experience deploying AI solutions within Microsoft Azure environments Experience developing AI agents using Microsoft Copilot Studio is highly desirable Most importantly, you are curious, innovative, and passionate about the transformative potential of AI, with a desire to help shape the future of digital innovation at Stantec. Why Join Us? We put people first: We're proud of our friendly, inclusive and collaborative environment where everyone feels valued and driven to succeed. We are driven to achieve: Named in the top 50 companies to work by Glassdoor 2025. Recognised by Corporate Knights as one of the world's top 10 most sustainable companies 2025. Named 'Best Place to Work' and 'International Consulting Firm of the Year' at the NCE Awards 2024. We do what is right: Industry leading training and development as well as paid for professional subscriptions. A professional progression plan, supporting you to become chartered. We are better together: A supportive and collaborative team environment and wider ERG network (see more on our ERGs here: Stantec Employee Resource Groups) Growth: We're on an exciting growth journey across the UK - we want you to be part of it! Great Benefits: Competitive salary, bonus schemes, enhanced pension plan, annual leave with the option to buy/sell additional days, private medical insurance, group income protection & life assurance included as standard as well as discounted gym membership and lots more. Hybrid / Flexible working: Enjoy a healthy work-life balance with our hybrid approach to flexible working. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world-class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact and we will talk to you about how we can support you. ReqID: 8989

We are seeking an experienced Data Engineer to join our Group Technology team on a 9-month contract. You'll play a key role in delivering Connells Group Reporting Data, covering medallion architecture, data modelling, design, and pipelines. You'll work closely with technical specialists to innovate, share ideas and continually enhance team capability. Your work will support strategic decision making across the Group by delivering accurate, timely reporting for all brands and business units. We offer a hybrid working arrangement with 1 day per week in our Milton Keynes office. Key Responsibilities Apply best practices for data design, ensuring scalable, high quality and consistent architecture and modelling. Provide timely and accurate root cause analysis and resolution within SLA timeframes. Work with the Core Data Lead to build common data models for unified customer and property data. Collaborate with Enterprise Data Architect to define, develop and enhance the ingestion and modelling of source data across the medallion architecture - particularly for CRM data. Work within the overall data architecture, ensuring that it aligns with the business's data strategy, scalability and future requirements. Continuously optimise for improved data flow, accessibility and security. Design and develop data ingestion processes, integrating multiple data sources. Maintain the Common Data Model to ensure organisation wide consistency. Apply Agile principles for iterative and collaborative development. Ensure data pipeline quality, reliability and performance. Develop, test and implement monitoring to ensure effective operation. Support cross functional data projects, providing expertise as required. Deliver data solutions that support project goals and business outcomes. Proactively monitor systems and pipelines, identifying issues early and responding promptly to minimise project disruption. Experience & Skills Required Proven experience in Data Engineering, with strong hands on experience in Python, Data Modelling, Data Warehousing. Strong background in incident resolution, requests, changes and problem solving within SLAs. Hands on experience with Spark, Data Architecture, SQL and Delta Lake. Cloud development experience (AWS, GCP or Azure). Working knowledge of Medallion Architecture. Demonstrated capability in implementing and supporting pipelines in demanding environments. Strong communication skills and confidence presenting ideas and technical approaches. Willingness to learn, adopt and improve best practices and standards. Ability to work effectively in complex, high pressure environments using both legacy and modern technologies. Strong analytical thinking and attention to detail. Experience with Fabric, Azure, JIRA, Confluence, CI/CD, GitHub and Git Actions. Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture. Experience with development lifecycle processes for data pipelines. Experience of CRM migration and development of single-view data models Please note that we are unfortunately unable to provide visa sponsorship for this position. Applicants must have the right to work in the UK. Connells Group UK is an equal opportunities employer and encourages applications from suitably qualified candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity.

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion

ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.

Job Description: Function Our Company We're Hitachi Vantara, the data foundation trusted by the world's innovators. Our resilient, high-performance data infrastructure means that customers - from banks to theme parks - can focus on achieving the incredible with data. If you've seen the Las Vegas Sphere, you've seen just one example of how we empower businesses to automate, optimize, innovate - and wow their customers. Right now, we're laying the foundation for our next wave of growth.We're looking for people who love being part of a diverse, global team - and who get excited about making a real-world impact with data. Job description The Team We are the Hitachi Digital Global Information Security team, passionate advocates of Information Security. Our primary responsibility is safeguarding the confidentiality, integrity, and availability of enterprise data, systems, and information. We ensure that corporate systems are secure and that the products we deliver to customers are free of security flaws and vulnerabilities. We are seeking an IAM Specialist, whose mission is to ensure that the right people get access to the right resources at the right time, in a secure manner. We constantly seek new and better ways of doing things, and we need highly motivated individuals who want to be part of a world-class information security program. The Role Developing custom integrations and automation across Okta Workforce Identity Cloud, Okta Identity Governance, and Auth0 using Node.js, JavaScript, Python, and PowerShell. Development and maintenance of Terraform configurations and CI/CD pipelines for IAM infrastructure as code. Creating, reviewing, and maintaining OAuth and OIDC integrations across both Okta and Auth0. Completing SAML integrations with custom rule and attribute statements. Developing Okta Workflows to drive critical business processes, provisioning, and registration flows. Developing custom rules and actions within Auth0 to interact with external platforms. Writing custom Node.js functions and Express applications to enhance IAM platform capabilities. Supporting Identity Governance processes including access certifications, entitlement management, and lifecycle automation. Building PowerShell and Python scripts to automate reporting, reconciliation, and operational tasks. Management of application access policies and authorization server policies across environments. Developing integrations with critical platforms such as Workday, Active Directory, Azure, and Salesforce. Supporting Org2Org federations with other companies in the Hitachi Group. Participating in code reviews for automation and tenant management. What You'll Bring Strong understanding of authentication mechanisms and protocols including OIDC/OAuth and SAML, and key related security concepts such as MFA, and how these are used with Okta, Auth0, and other IdPs, and the ability to troubleshoot issues in this realm. Strong experience integrating applications with both Okta and Auth0 for SSO, provisioning, and governance. Hands on development proficiency in Node.js, JavaScript, Python, and PowerShell. Experience building production-grade automation and integrations is required. Comfort and skill with Terraform, CI/CD tooling, and Infrastructure as Code best practices. Knowledge of Okta Identity Governance including access certifications, entitlement management, RBAC, and ABAC concepts. Familiarity with Okta's and Auth0's public-facing API collections and development SDKs. Hands on experience within large enterprise scale IAM environments, including experience with workflows and scripting with public facing APIs. Knowledge of advanced Okta SKUs such as Okta Workflows, Okta Identity Governance, and the Okta Access Gateway. Okta certifications are a plus. Understanding and knowledge of modern cybersecurity threats and how a successful IAM program can assist an enterprise in mitigating those threats. Great interpersonal skills: good written & oral communication in English, ability & willingness to work within an international team, collaborative & team-oriented approach, being self-driven with an ability to quickly adapt to new technologies and variables in a dynamic and fast moving, large scale project with tight deadlines, multiple priorities and under defined budget, high attention to details and quality. About us We're a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data driven leaders that can a make positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you'll realise this is a modern software engineering environment, because it has to be. We've made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. As a Staff AI Engineer, you will be the technical specialist connecting AI ambition to delivery reality across Sainsbury's Tech. This is a hands on engineering role with division wide scope. You will set the bar for how AI is engineered across the division, creating reusable patterns, defining standards and working across every Tech domain to ensure we build AI capabilities once and share them everywhere. The role is intentionally cross cutting. Where most engineers go deep in one team, you will go wide across many, identifying duplication, reducing friction, and leaving every team you touch with stronger AI engineering capability than before. This is not a policy role You'll write code, build proofs of concept, and solve hard problems alongside delivery teams. But your primary measure of success is the multiplier effect you create, not the features you ship directly. What you need to do Define and champion reusable AI engineering patterns, accelerators, and reference architectures that delivery teams across Sainsbury's Tech can adopt with confidence. Translate proven engineering workflows into reusable skills and agents that standardise delivery, reduce duplication, and accelerate teams across Sainsbury's Tech. Work across Tech domains (Customer, Channels, Supply Chain and Logistics, Argos, Data and AI Ecosystem, and more) to identify duplicated effort, converge on shared approaches, and reduce the cost of building AI solutions. Lead technical discovery and feasibility assessment for high priority AI opportunities, providing clear, evidence based recommendations on viability, effort and expected value. Build and maintain a living library of production ready patterns covering areas such as RAG, agentic AI, LLM integration, prompt engineering and responsible AI guardrails. Facilitate cross domain engineering forums, design reviews, and communities of practice, creating the conditions for AI engineering knowledge to flow freely across the organisation. Work hands on alongside delivery teams to accelerate them through complex technical challenges, pairing, coaching, and transferring capability rather than taking over. Influence the AI and data platform roadmap, working with Platform Engineering, Architecture, and the AI Centre of Excellence to ensure strategic tooling meets the needs of delivery teams. Contribute to engineering standards and guardrails for AI development, ensuring solutions are secure, observable, responsible, and aligned to our strategic platforms. Stay ahead of the rapidly evolving AI landscape, evaluating new models, frameworks and platform capabilities, and translating emerging potential into actionable patterns for the organisation. Champion responsible AI principles across every solution and team you engage with, ensuring outputs are fair, explainable, and aligned to our governance framework. What you need to know Deep, hands on engineering experience with AI technologies including large language models, generative AI and agentic systems. Proficiency in Python and modern cloud native development practices (Azure preferred). Practical experience with prompt engineering, retrieval augmented generation (RAG), fine tuning, and AI orchestration frameworks such as LangChain, Semantic Kernel, or equivalent. Strong understanding of data engineering fundamentals and how AI solutions interact with data platforms, pipelines, and governance. Experience operating across large scale enterprise environments, navigating security, compliance, and integration complexity. Familiarity with Sainsbury's strategic platforms (Snowflake, Azure, AWS, Microsoft 365 Copilot) is advantageous. Awareness of responsible AI principles and practical experience applying them in delivery contexts. What you need to show A track record of engineering impact at organisational scale, not just team level. You have made other engineers and teams more effective, not just delivered your own work. Ability to move from ambiguous problem statements to working solutions at pace, comfortable operating in uncertainty and converging through experimentation. Strong technical communication skills, able to translate complex AI concepts clearly for non technical stakeholders and articulate trade offs confidently with engineering peers and architects. A genuine drive for knowledge sharing and capability building, actively lifting the AI engineering skills of those around you. Excellent collaboration and influencing skills, able to build trust quickly across Product, Engineering, Architecture, Data Science, and leadership. Strong judgement on build vs. buy vs. configure decisions, particularly in a fast moving AI tooling landscape. Comfort operating across the full spectrum from low code AI configuration to deep pro code engineering, selecting the right approach for each context. High levels of technical curiosity balanced with pragmatism, knowing when good enough the right call is and when rigour is non negotiable What decisions I can make Technical approach, architecture, and engineering standards for AI solutions across Sainsbury's Tech. Selection and curation of reusable AI patterns, accelerators, and reference implementations. Recommendations on feasibility, go/no go, and scaling readiness for AI proofs of concept. Tool and framework selection for shared AI engineering patterns, aligned to strategic platform direction. Support we will provide Access to personal development tools including industry leader Bitesize talks, online self development tools, and internal mentoring/coaching. Direct access to Sainsbury's AI and Data platforms, tooling, and cloud infrastructure. A collaborative environment working alongside Product, Architecture, Data Science, and Engineering leadership. Opportunities to attend external AI/ML events and conferences. Technical development resources, including access to relevant learning platforms, certifications, and emerging technology previews. Benefits Generous colleague discount across Sainsbury's, Argos, and Habitat Competitive holiday allowance Private Health Care Bonus scheme Pension plan Flexible / smarter working policy Access to special offers on gyms, restaurants, holidays, retail vouchers and more Work-life balance matters to us. We offer flexibility in how, when, and where you work, combining remote collaboration with the right balance of freedom to support your life outside work. We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 20% of salary (which may vary for Nectar360), depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).

Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Fixed-Term Assignment Business area: Sainsbury's Tech Closing date: 31 July 2026 Requisition ID: We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you'll realise this is a modern software engineering environment, because it has to be. We've made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. As a Staff AI Engineer, you will be the technical specialist connecting AI ambition to delivery reality across Sainsbury's Tech. This is a hands on engineering role with division wide scope. You will set the bar for how AI is engineered across the division, creating reusable patterns, defining standards and working across every Tech domain to ensure we build AI capabilities once and share them everywhere. The role is intentionally cross cutting. Where most engineers go deep in one team, you will go wide across many, identifying duplication, reducing friction, and leaving every team you touch with stronger AI engineering capability than before. This is not a policy role. You'll write code, build proofs of concept, and solve hard problems alongside delivery teams. But your primary measure of success is the multiplier effect you create, not the features you ship directly. What you need to do Define and champion reusable AI engineering patterns, accelerators, and reference architectures that delivery teams across Sainsbury's Tech can adopt with confidence. Translate proven engineering workflows into reusable skills and agents that standardise delivery, reduce duplication, and accelerate teams across Sainsbury's Tech. Work across Tech domains (Customer, Channels, Supply Chain and Logistics, Argos, Data and AI Ecosystem, and more) to identify duplicated effort, converge on shared approaches, and reduce the cost of building AI solutions. Lead technical discovery and feasibility assessment for high priority AI opportunities, providing clear, evidence based recommendations on viability, effort and expected value. Build and maintain a living library of production ready patterns covering areas such as RAG, agentic AI, LLM integration, prompt engineering and responsible AI guardrails. Facilitate cross domain engineering forums, design reviews, and communities of practice, creating the conditions for AI engineering knowledge to flow freely across the organisation. Work hands on alongside delivery teams to accelerate them through complex technical challenges, pairing, coaching, and transferring capability rather than taking over. Influence the AI and data platform roadmap, working with Platform Engineering, Architecture, and the AI Centre of Excellence to ensure strategic tooling meets the needs of delivery teams. Contribute to engineering standards and guardrails for AI development, ensuring solutions are secure, observable, responsible, and aligned to our strategic platforms. Stay ahead of the rapidly evolving AI landscape, evaluating new models, frameworks and platform capabilities, and translating emerging potential into actionable patterns for the organisation. Champion responsible AI principles across every solution and team you engage with, ensuring outputs are fair, explainable, and aligned to our governance framework. What you need to know Deep, hands on engineering experience with AI technologies including large language models, generative AI and agentic systems. Proficiency in Python and modern cloud native development practices (Azure preferred). Practical experience with prompt engineering, retrieval augmented generation (RAG), fine tuning, and AI orchestration frameworks such as LangChain, Semantic Kernel, or equivalent. Strong understanding of data engineering fundamentals and how AI solutions interact with data platforms, pipelines, and governance. Experience operating across large scale enterprise environments, navigating security, compliance, and integration complexity. Familiarity with Sainsbury's strategic platforms (Snowflake, Azure, AWS, Microsoft 365 Copilot) is advantageous. Awareness of responsible AI principles and practical experience applying them in delivery contexts. What you need to show A track record of engineering impact at organisational scale, not just team level. You have made other engineers and teams more effective, not just delivered your own work. Ability to move from ambiguous problem statements to working solutions at pace, comfortable operating in uncertainty and converging through experimentation. Strong technical communication skills, able to translate complex AI concepts clearly for non technical stakeholders and articulate trade offs confidently with engineering peers and architects. A genuine drive for knowledge sharing and capability building, actively lifting the AI engineering skills of those around you. Excellent collaboration and influencing skills, able to build trust quickly across Product, Engineering, Architecture, Data Science, and leadership. Strong judgement on build vs. buy vs. configure decisions, particularly in a fast moving AI tooling landscape. Comfort operating across the full spectrum from low code AI configuration to deep pro code engineering, selecting the right approach for each context. High levels of technical curiosity balanced with pragmatism, knowing when good enough the right call is and when rigour is non negotiable What decisions I can make Technical approach, architecture, and engineering standards for AI solutions across Sainsbury's Tech. Selection and curation of reusable AI patterns, accelerators, and reference implementations. Recommendations on feasibility, go/no go, and scaling readiness for AI proofs of concept. Tool and framework selection for shared AI engineering patterns, aligned to strategic platform direction. Support we will provide Access to personal development tools including industry leader Bitesize talks, online self development tools, and internal mentoring/coaching. Direct access to Sainsbury's AI and Data platforms, tooling, and cloud infrastructure. A collaborative environment working alongside Product, Architecture, Data Science, and Engineering leadership. Opportunities to attend external AI/ML events and conferences. Technical development resources, including access to relevant learning platforms, certifications, and emerging technology previews. Generous colleague discount across Sainsbury's, Argos, and Habitat Private Health Care Pension plan Access to special offers on gyms, restaurants, holidays, retail vouchers and more Work-life balance matters to us. We offer flexibility in how, when, and where you work, combining remote collaboration with the right balance of freedom to support your life outside work. We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 20% of salary (which may vary for Nectar360), depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).

Job Description Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large-scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client-facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low-latency systems. Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .

Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber Security, National Security, Law Enforcement and Telecommunications. We are seeking a talented and motivated Software Engineer to join our team and contribute to our mission of protecting the UK through data-driven insights and solutions. As a Software Engineer, you will work closely with our public sector clients and project teams to design, develop, and implement software solutions that meet our clients' requirements. Key Responsibilities Collaborate with clients to understand their software engineering needs and objectives Design, develop, test, and implement high-quality software solutions using industry best practices and coding standards Utilise your expertise in various programming languages, frameworks, and technologies to architect robust and scalable systems Collaborate with cross-functional teams and clients to gather project requirements, analyse feasibility, and provide technical recommendations Develop secure, clean, efficient, and well documented code, ensuring code quality through testing, debugging, and code reviews Stay up to date with the latest trends, tools, and technologies in software engineering and share your knowledge with the team Collaborate with project managers to ensure successful project delivery within the defined timelines and budget Accurately delivering high quality work to agreed timelines, including taking the initiative and knowing how to jump straight in Supporting client engagements, including pitches and presentations Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future Representing us and our core values: Transparent, Fair and Daring Skills/Knowledge The role requires the following key skills / knowledge, non-exhaustively: Bachelor's degree in computer science, software engineering, or related field Professional experience as software engineer, preferably in a consultancy or industry setting Experience with multiple programming languages, including Python, Java, C++, Rust, or Go Experience with associated software development frameworks and tools such as pytest and OpenAPI Experience working in Unix/Linux environments Knowledge of database systems and proficiency in database query languages/tools Familiarity with software development methodologies, such as Agile or Scrum. In particular iterative approaches to software development in conjunction with the client Excellent problem-solving and analytical skills, with the ability to find innovative solutions to complex technical challenges Excellent communication and presentation skills or Strong communication and interpersonal skills to effectively interact with clients and team members Ability to adapt to new technologies and learn quickly in fast-paced environments A passion for delivering high quality software solutions that meet client expectations Experience with cloud platforms such as AWS, Azure or Google Cloud Familiarity with DevOps practices and principles, such as CI/CD pipelines, containerisation (e.g. Docker) and associated orchestration Knowledge of software security principles and best practices Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. What's in it for you? You will be joining the company at Daintta "Consultant" grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations. Benefits We believe in supporting our people both professionally and personally. Here's what you can expect when you join us: Time Off: 25 days annual leave, plus bank holidays Up to 5 days annual training leave with a dedicated training budget Up to 3 days annual volunteering leave - give back to the community Competitive maternity, paternity, shared parental leave & compassionate leave Health & Wellness: Comprehensive Private Health Insurance Employee Assistance Programme - 24/7 support services £2,000 Flex Cash Allowance, paid pro-rata over the year Financial Benefits: 5% pension contribution Discretionary company awards and bonuses, based on performance and company targets Access to Electric Vehicle (EV) Salary Sacrifice scheme Professional Development Up to £1,000 annual training budget (access to additional training and development budget via business case) Up to 5 days annual training leave 1 professional membership paid annually Up to £200 of additional IT budget for new joiners Perks Free breakfast every Tuesday in the London office Fortnightly drinks - in London Regular social events, quizzes, and guest workshops Huckletree perks - including gym and restaurant discounts Employee referral programme Monthly breakfast club in our Cheltenham office Security Information Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To qualify, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see

Senior Data Engineer - eDV Cleared Locations: Manchester, Gloucester or London (Full-Time, Permanent, Onsite) We are partnering with a leading defence and technology organisation to recruit an experienced Senior Data Engineer to join their highly specialised engineering teams across Manchester, Gloucester or London. This is an excellent opportunity to work on complex, mission-critical programmes within the National Security sector, delivering innovative solutions across AI, machine learning, cyber security and geospatial intelligence. As a Senior Data Engineer, you will join a collaborative Agile environment, playing a key role in designing, building and maintaining scalable data platforms and processing pipelines. You will work alongside software engineers, architects and stakeholders to transform and optimise data for advanced analytical and operational use. The team is actively hiring Data Engineers across multiple levels, offering opportunities for both experienced professionals seeking technical leadership and individuals looking to further develop their expertise within a high-performing engineering function. Please note: Due to the nature of the work, candidates must hold current and active eDV (Enhanced Developed Vetting) clearance. Key Responsibilities Design, develop and maintain robust data pipelines to ingest, clean, transform and aggregate data from a variety of sources. Collaborate closely with engineers, technical leads and stakeholders to deliver project objectives. Support the successful delivery of project milestones within Agile teams. Contribute to continuous improvement initiatives, engineering best practices and team capability development. Influence technical direction and contribute to architectural and design decisions. Required Skills & Experience Strong analytical skills with experience working with large-scale and unstructured datasets. Python development experience, including technologies such as PySpark, Pandas and PyArrow. Expertise in distributed data processing frameworks, particularly Apache Spark. Experience building and maintaining ETL pipelines using technologies such as Apache Airflow, AWS Step Functions or Apache NiFi. Cloud platform experience across AWS, Azure and/or GCP. Knowledge of messaging and streaming technologies including Kafka, AWS SQS or equivalent cloud-native services. Strong understanding of SQL and NoSQL databases. Experience with modern data storage technologies including HDFS, Iceberg, Elasticsearch, S3 and Data Lake architectures. Containerisation and orchestration experience using Docker, Kubernetes and/or OpenShift. Knowledge of testing frameworks, engineering standards and software development best practices. Experience working with source control systems, branching strategies, pull requests and code review processes. What's on Offer Opportunity to work on highly secure, cutting-edge programmes with real-world impact. Exposure to advanced technologies across AI, machine learning, cyber security and data engineering. Structured training and development support to help broaden your technical capabilities. Clear progression opportunities within a growing and highly regarded engineering function. Collaborative Agile environment working alongside some of the industry's leading technical specialists. Benefits Competitive salary and excellent benefits eDV bonus on top of salary and annual bonus Company bonus scheme Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days If you're an eDV-cleared Data Engineer looking to work on some of the UK's most challenging and rewarding technology programmes, we'd be keen to discuss this opportunity further.

Career Opportunities: Delivery Consultant - Operational Risk (11234) Requisition ID11234-Posted - Years of Experience (1) -Consulting- Where (1) Airwalk Reply is the ReplyGroup companyspecialisedin the design and delivery ofcloud-basedservices and solutions, driving technology-led transformational change in complex, regulated industries such as Financial Services,Governmentand the Public Sector. We bring a unique combination of deep technical subject matterexpertiseacross technology strategy, architecture, service design,engineeringand security, alongside business domainexpertiseanda heavyweightdelivery capability. Role Overview: As a Delivery Consultant, you will support the successful delivery of complex consulting engagements across enterprise clients. You will contribute to initiatives within resilience, infrastructure, and cloud programmes, with exposure to Operational/Technology Resilience or IT Security remediation. The role focuses on delivery excellence, stakeholder management, and effective programme coordination. Working alongside senior SMEs and technical specialists, you will ensure programmes are well-structured, properly governed, and executed efficiently. Responsibilities: Lead the planning, mobilisation, and delivery of workstreams within consulting engagements Manage programme governance, including status reporting, RAID management, and coordination of steering and working groups Act as a central point of coordination across client stakeholders, consulting teams, and technical SMEs Build and maintain strong relationships with stakeholders across business, technology, and risk functions Proactively identify and manage delivery risks and issues, driving resolution Ensure alignment across multiple workstreams and dependencies Facilitate workshops, meetings, and stakeholder forums Support the creation of high-quality client deliverables and ensure delivery remains aligned to programme objectives About the Candidate: 3-5 years' experience in consulting delivery roles, programme/project management, and Operational Resilience programmes Strong stakeholder management and communication skills Proven ability to manage delivery in complex environments (e.g. Financial Services, Public Sector, large enterprises) Strong delivery management capability, including planning, tracking, and reporting Experience working in or alongside technology-driven programmes (infrastructure, cloud, or security) Ability to confidently engage with technical stakeholders (architects, engineers) without needing to be hands-on Highly organised, with the ability to manage multiple priorities and deadlines Subject matter experience in resilience, business continuity, disaster recovery, cloud transformation, infrastructure change, or cyber/data security, along with familiarity with AWS or Microsoft Azure, would be beneficial Exposure to regulated environments (particularly Financial Services), understanding of risk, controls and governance frameworks, and experience with delivery methodologies such as Agile, Waterfall, or hybrid approaches would be advantageous Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skincolour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

The Role We are looking for brilliant engineers to join our team at Magentic. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We're focusing on a three trillion dollar market of supply chains and procurement. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety. You'll own full-stack features end-to-end, with a focus on building for enterprise data requirements. You will collaborate closely with customer teams to architect and implement sophisticated data pipelines and APIs, directly fueling our cutting-edge agentic AI with terabytes of real-world supply chain data. You will be instrumental in shaping solutions for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the front line of agentic systems. What You'll Do Design & build scalable, performant backend services and data pipelines written in Python and deployed with Docker & Kubernetes. Integrate with enterprise ecosystems - enterprise software systems such as SAP and Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar). Wrangle large, heterogeneous data sets - model, transform, and index multi modal, multi terabyte enterprise datasets for advanced workloads. Develop enterprise level next generation AI systems with the support of Magentic's AI specialists. Ship complete customer features - from architecture and code to CI/CD, infra as code (Terraform), rollout, and user training. Collaborate directly with executives & operators - run white boarding sessions, turn ambiguous requirements into concrete specs, demo weekly, and iterate fast. Champion observability & reliability - instrument services with OpenTelemetry, define SLIs/SLOs, and automate incident response. Contribute across the stack - build lightweight front ends when needed and pair with ML engineers on inference and evaluation pipelines. You Might Be a Great Fit if You Have 6+ years of professional software engineering experience. Are fluent in Python and comfortable in TypeScript/JavaScript. Have built and operated data intensive systems (batch & streaming) in a cloud environment (AWS, GCP, or Azure). Know your way around relational, columnar, and KV/graph databases - and when to use which. Have integrated with real world enterprise stacks - authentication, SSO, legacy ERPs, message queues, ETL tools. Can take a loosely defined problem, sketch an architecture, and deliver a production ready solution in weeks, not months. Communicate clearly with both engineers and business stakeholders; you enjoy hopping on a customer call to debug an API contract. Thrive in an early stage, high ownership environment - prototype today, deploy tomorrow, iterate next week. Bonus Points Experience deploying or consuming LLM powered services (OpenAI, open source models, RAG, vector stores) can be a bonus. However, we consider many great candidates without previous AI experience. Familiarity with supply chain, procurement, or manufacturing domains. Compensation And Benefits Competitive Equity: play a real part in Magentic's upside. A salary of £115,000 - £125,000 per annum. Visa sponsorship available. In office lunches provided. Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues. Salary sacrifice pension and nursery schemes. Hybrid London HQ (3-4 days in the office/customer site). Annual team retreat - a fully funded off site to recharge, bond, and build. Our interview process Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role. Paired programming interview (45 mins): we'll give you an exercise to demonstrate the key skills for the role. In person interview: for the final step, we invite you to come meet the team in person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like. This will include a culture interview, a founder interview and skills based interview(s) with the team. Equal Opportunities and Accommodations Statement At Magentic, our mission is to build AI that helps solve some of the world's most complex real world problems. We believe building a diverse workforce will be the key to solving this for our customers. Magentic is committed to creating a truly inclusive team and we're proud to be an equal opportunity employer. As we grow, we're intentional about building teams with a broad range of backgrounds, experiences and viewpoints, recognising that this leads to better ideas, stronger collaboration and better outcomes for our customers therefore we strongly encourage applications from all backgrounds and cultures to apply. We recognise that some groups remain underrepresented within the industry and are committed to creating an environment that celebrates and supports everyone. Everyone works differently, and we want to ensure our interview process gives you the best chance to show us what you can do. If you require any reasonable adjustments or accommodations, please let us know and we'll work with you to make the process accessible. Responsible AI Statement At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission.

Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. Hybrid working policy: We operate a hybrid working arrangement from our Head Office in Leeds, designed to balance your commitments and preferences with our client's needs. Whilst we support flexible working, we expect our team members to be in the office or with clients at least twice per week. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. The role: As a Data Engineer at Oakland, you'll be at the heart of delivering impactful technical solutions for our clients. No two projects are the same, so you'll work across varied industries, technologies, and project sizes, constantly learning and sharpening your problem solving skills. Our work spans Data Strategy, Management, Data Platforms, AI, and Analytics, and you'll help shape solutions that deliver real business value. We're tech agnostic and client first, choosing the right tools for the job - whether that's leveraging our bespoke platform or partnering with major data platform and engineering providers. You'll be part of a collaborative team of 15+ Data Engineers, with access to shared resources, support, and expertise to help you thrive and grow. What we are looking for: Ideally, you'll be a programmer at heart, and you are excited by the prospect of working across different problems, projects, and clients. At mid level, we expect you to have a good grasp of core concepts of Data Engineering (data structures, databases, data manipulation, ETL, data quality), enabling you to write pipelines of moderate complexity in a consistent style. The technology we use varies between clients, so although we value specialists, we encourage our engineers to become technology polyglots and provide training and mentoring to support you with this. This means an appetite to learn is a must. Our Data Engineers work closely with Oakland clients, so experience working with business stakeholders and understanding commercial objectives is advantageous. The skillset We always pick the right tool for the job so we look for Engineers with a mix (but not all!) of the below: Proficient with one or more programming languages such as: Python, SQL, C#, JavaScript etc. Experience designing and implementing data solutions in the cloud, e.g. Azure (preferred), AWS or GCP. Experience working with and manipulating structured & unstructured data. Experience working with modern data platforms e.g. Fabric, Snowflake, Databricks . Web application design and build. Experience using Data Visualisation tools such as Power BI. An understanding of the broader data ecosystem, including data modelling, DevOps, platform design, and governance, and understand how these intersect with your work. Experience in gathering requirements and using this to design solutions. Client/stakeholder management experience. Benefits that put you first At Oakland, we believe in taking care of our people - both inside and outside of work. Here's what you can expect when you join us: Health & Wellbeing - Enjoy Private Healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus - Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension - We invest in your future with a 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Electric Vehicle Scheme - Drive greener with tax efficient options to get behind the wheel of an electric car. Giving Back - Support causes you care about with our Payroll Giving Scheme and Matched Charitable Giving program. Bike to Work Scheme - Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies - We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge - 25 days annual leave + bank holidays (and your allowance grows the longer you're with us!). Learning & Development - We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual Personal Learning Budget to upskill in ways that matter to you. Refer & Earn - Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland At Oakland, we believe that diverse perspectives drive better outcomes for our people, our clients, and our business. Our commitment to DEIB isn't just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself, no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring - Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process - If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help. Just let us know.

Cloud Platform Engineer (Senior / Lead) Department: Technology Employment Type: Permanent - Full Time Location: London Reporting To: Description About the role We are looking for a hands on Senior / Lead Cloud Platform Engineer to shape and run the multi cloud foundation that our engineering, data and product teams build on everyday. This is a senior individual contributor / tech lead role at the heart of a modern hybrid cloud strategy. Our goal is to make cloud infrastructure effectively invisible and commoditised for internal teams: engineers should ship through self service golden paths and a well designed internal developer platform, without needing to understand the underlying cloud plumbing. You will treat platform capabilities as products, with clear APIs, paved roads, strong defaults and great developer experience. A defining part of this role is preparing our infrastructure for a future (or present) where some "engineers" are AI agents. You will design platforms, guardrails and interfaces that let both human engineers and autonomous AI agents provision, operate and optimise infrastructure safely - and you will use AI agents heavily yourself to automate and optimise day to day platform work. Security is central, not an afterthought. You will help drive a zero trust approach across identity, network, workloads and data, ensuring the platform is secure by default for humans and machine/agent identities alike. You will also work closely with our data function, helping design and optimise the data pipelines, data stores and large scale analytics infrastructure (for example BigQuery and similar warehouses) that the business depends on. What you'll do Design, build and operate our multi cloud and hybrid cloud platform across at least two of the top three providers (AWS, Azure and/or Google Cloud), plus on prem/hybrid connectivity where needed. Build and own an internal developer platform and self service "golden paths" that make cloud infrastructure feel invisible and commoditised for engineering, data and product teams; and their AI agents. Deliver everything as code: infrastructure as code, GitOps, reusable modules, CI/CD pipelines and policy as code guardrails. Leverage AI agents extensively to automate and optimise platform work-provisioning, cost and performance optimisation, incident response, remediation and documentation. Prepare the infrastructure for AI agents as first class "engineers": safe machine identities, scoped permissions, sandboxes, approval workflows and audit trails so agents can provision and operate infrastructure within tight guardrails. Embed a zero trust security model across identity, network, workloads and data for both human and machine/agent identities; secure by default, least privilege, secrets management and continuous compliance. Apply SRE practices-SLOs/SLIs, observability, capacity planning, resilience and blameless incident management-to keep the platform reliable and cost efficient. Partner with data engineering to design and optimise data pipelines, data stores and large scale analytics infrastructure such as BigQuery, including query, cost and performance tuning. Mentor engineers, set technical direction and champion strong platform and security engineering standards across the organisation. What you'll need to succeed Essential requirements: Extensive hands on experience designing, building and operating production cloud infrastructure at senior or lead level. Multi cloud experience across at least two of the top three providers (AWS, Microsoft Azure and Google Cloud), including a recognised professional level cloud certification for each of those two providers (for example AWS Solutions Architect / DevOps Engineer Professional, Azure Solutions Architect / DevOps Engineer Expert, or Google Cloud Professional Cloud Architect / DevOps Engineer). Strong background in modern hybrid cloud architecture and connecting cloud with on prem/edge environments. Deep infrastructure as code and automation skills (e.g. Terraform/OpenTofu, Pulumi, Ansible), GitOps and CI/CD, plus containers and orchestration (Docker, Kubernetes). Proven experience building internal developer platforms, self service golden paths and platform as a product to abstract away cloud complexity for engineering teams. Practical experience using AI agents / LLM based tooling to automate and optimise infrastructure work, and interest in designing infrastructure that AI agents can operate safely. Strong security engineering mindset with hands on zero trust experience across identity, network, workloads and data-including secrets management, least privilege IAM and machine/workload identity. Solid programming/scripting ability (e.g. Python, Go) and strong observability, reliability and cost optimisation practices. Desirable requirements: Experience working as a Site Reliability Engineer (SRE) with SLOs/SLIs, error budgets and incident management. A third top tier cloud certification, or specialist security/Kubernetes certifications (e.g. CKA/CKS). Significant data engineering experience: designing and operating data pipelines and data stores, and optimising databases and large scale data infrastructure such as BigQuery (including query, cost and performance tuning). Experience preparing environments for autonomous or agentic workloads-sandboxes, scoped machine identities, approval workflows and audit trails. Experience in a regulated or fintech environment. Your approach to work: Pragmatic and hands on, with a strong bias for automation and eliminating toil. Product mindset- you treat internal engineers (human and AI) as your customers and obsess over their experience. Security and reliability first, collaborative, and comfortable leading and mentoring. Important to know Location: We have multiple offices across the UK. We have a new office in London which is becoming more central to where we collaborate in person. We have a flexible working policy with a few days per week in the office. Right to Work: Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.