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\n \n Life on the team \n Competitive Salary + Flexible Benefits + Car Allowance \n Flexible UK Location | Regular UK Travel | SC Clearance Required \n Are you an experienced Technical Architect with a passion for Modern Workplace technologies and helping customers solve complex business challenges? We're looking for a Technical Architect Workplace Platforms to join Computacenter's growing Workplace Practice, deli... \n \n \n \n \n \n \n\n \n ZIPC1_UKTJ

Tesco is seeking a Senior Data Platform Engineer to lead the design, build and maintenance of a robust data platform for advanced analytics, ML and GenAI in cybersecurity contexts. You will architect real-time and batch data pipelines, integrate data from diverse security sources, and mentor junior engineers while collaborating across departments to deliver secure, scalable data services. #J-18808-Ljbffr

Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco’s data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale. Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments. As a Senior Machine Learning Engineer, you’ll be a significant contributor to the delivery of products in one of Tesco’s most strategic technology areas. You’ll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You’ll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations. In this role, responsibilities will include: • Participating in group discussions on system design and architecture., • Working with product teams to communicate and translate needs into technical requirements., • Working with Data Scientists, Engineers and Product teams across the software lifecycle., • Delivering high quality code and solutions, bringing solutions into production., • Performing code reviews to optimise technical performance of data science solutions., • Supporting production systems, resolving incidents, and performing root cause analysis., • Continually look for how we can evolve and improve our technology, processes and practices., • Sharing knowledge with the wider engineering community., • Applying SDLC practices to create and release robust software. You come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data science solutions into production. You therefore tick the majority of the following points: • A higher degree in engineering, computer science, maths or science., • Customer focus with the right balance between outcome delivery and technical excellence., • The ability to apply technical skills and know-how to solving real world business problems., • Demonstratable experience of building scalable and resilient software systems., • Experience of leading a small team of engineers to meet the technical delivery and business outcomes., • Commercial experience contributing to the success of high impact Data Science projects within complex organisations., • Experience in MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management., • Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python., • Understanding of common data structures and algorithms., • Use of version control (Git) and related software lifecycle tooling., • Experience with tooling for monitoring, logging and alerting e.g. Splunk, New Relic or Grafana., • Experience of technologies such as Apache Spark, Databricks, Snowflake, or BigQuery to transform big-data optimised for Tesco scale, • Experience building solutions that run in the cloud, ideally Azure., • Experience with software development methodologies including Scrum & Kanban. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application,click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. #J-18808-Ljbffr

Tesco UK • Welwyn Garden City • Hybrid • Full-Time • Permanent • Working hours 36 Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco's data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale. Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments. We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. to find out more! • Annual bonus scheme of up to 20% of base salary., • Holiday starting at 25 days plus a personal day (plus Bank holidays)., • Private medical insurance., • 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave., • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. The above information is a shortened summary, refer to our policies for full details As a Senior Machine Learning Engineer, you'll be a significant contributor to the delivery of products in one of Tesco's most strategic technology areas. You'll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You'll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations. • Participating in group discussions on system design and architecture., • Working with product teams to communicate and translate needs into technical requirements., • Working with Data Scientists, Engineers and Product teams across the software lifecycle., • Delivering high quality code and solutions, bringing solutions into production., • Performing code reviews to optimise technical performance of data science solutions., • Supporting production systems, resolving incidents, and performing root cause analysis., • Continually look for how we can evolve and improve our technology, processes and practices., • Sharing knowledge with the wider engineering community., • Applying SDLC practices to create and release robust software. You come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data science solutions into production. You therefore tick the majority of the following points: • A higher degree in engineering, computer science, maths or science., • Customer focus with the right balance between outcome delivery and technical excellence., • The ability to apply technical skills and know-how to solving real world business problems., • Demonstratable experience of building scalable and resilient software systems., • Experience of leading a small team of engineers to meet the technical delivery and business outcomes., • Commercial experience contributing to the success of high impact Data Science projects within complex organisations., • Experience in MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management., • Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python., • Understanding of common data structures and algorithms., • Use of version control (Git) and related software lifecycle tooling., • Experience with tooling for monitoring, logging and alerting e.g. Splunk, New Relic or Grafana., • Experience of technologies such as Apache Spark, Databricks, Snowflake, or BigQuery to transform big-data optimised for Tesco scale, • Experience building solutions that run in the cloud, ideally Azure., • Experience with software development methodologies including Scrum & Kanban. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we're all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone's welcome. That's why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. #J-18808-Ljbffr

We are in the process of building and rolling out our next generation, dynamic, scalable, and resilient Fulfilment platform for Tesco, to address both manual, and robotic powered automate fulfilment operations, across all the customer order fulfilment locations. This highly optimized and continuously improving fulfilment platform is designed to be used to fulfil all product categories - Grocery /GM and Fashion, of Customer Orders. This platform, Fulfilment Point System (FPS), enables all the customer order fulfilment centres across different geographies to pick, marshal and dispatch customer orders on one hand and manage the site workflow through a real-time visualisation and intervention tool, on the other hand. Ours is a globally distributed, full stack java tech team and our building blocks consist of a set of Microservice components, backend APIs, Rich UI, robust Eventing Platform and Data layer components utilising a wide range of modern technologies including: • Java, RxJava, SpringBoot, • Kafka, PostgreSQL and Couchbase We are responsible for the software throughout the lifecycle. We maintain a DevOps culture employing continuous integration and delivery, supporting our code through to production and beyond. We are in the process of building and rolling out our next generation, dynamic, scalable, and resilient Fulfilment platform for Tesco, to address both manual, and robotic powered automate fulfilment operations, across all the customer order fulfilment locations. This highly optimized and continuously improving fulfilment platform is designed to be used to fulfil all product categories - Grocery /GM and Fashion, of Customer Orders. This platform, Fulfilment Point System (FPS), enables all the customer order fulfilment centres across different geographies to pick, marshal and dispatch customer orders on one hand and manage the site workflow through a real-time visualisation and intervention tool, on the other hand. Ours is a globally distributed, full stack java tech team and our building blocks consist of a set of Microservice components, backend APIs, Rich UI, robust Eventing Platform and Data layer components utilising a wide range of modern technologies including: • Java, RxJava, SpringBoot, • Kafka, PostgreSQL and Couchbase, • Docker, Kubernetes, Jenkins, Azure DevOps, Splunk, AppDynamics, New Relic, • Azure Cloud We are responsible for the software throughout the lifecycle. We maintain a DevOps culture employing continuous integration and delivery, supporting our code through to production and beyond. We are seeking highly skilled Software Development Engineers (SDEs) for a green field project to drive the design, development and implementation of software solution for next generation customer fulfilment system. As a key member of our engineering team, you will develop robust, scalable and efficient java-based applications to optimise warehouse operations and drive operational success. You will directly contribute to evolving product, reducing cost and increasing profitability. Design and Develop: Architect and build high-performance applications. System Optimisation: Collaborate with cross functional teams to enhance system efficiency, scalability and reliability for mission critical applications. Integration: Develop APIs and microservices to integrated with enterprise API and third-party platforms. Code Quality: Write clean, maintainable and well documented code, adhere to best practices and coding standards. Troubleshooting: Diagnose and resolve complex technical issues in real-time to ensure un-interrupted operations. Mentorship: guide junior engineers and foster culture of continuous improvement. Innovation & Collaboration: Stay ahead of industry, work closely with hardware, data scientists and operation team. • Previous experience of having done product development using agile methodologies, • Hands-on experience of building and supporting reliable and operationally robust full stack and distributed Java applications / products, • Any previous experience of having contributed in a globally distributed software engineering teams would be a big plus., • Programming, • Demonstrate in depth knowledge of IDE, language, and toolset in language of choice., • Implement critical path components in a large or complex or project., • Demonstrate excellent understanding of language & framework and a good working knowledge of the abstraction layer underneath., • Comfortably test drive any feature/comfortable with TDD cycle, • Comfortably debug/find complex problems, • Design, • Identify and apply appropriate design patterns to problems, • Understand Idempotence, • Actively practice the boy scout principle, leaves design, code in a better state than when arrived, • Understand importance of domain model and can coherently model a problem domain within a given context, • Understand design patterns such as CQRS and eventual consist, • Understand how to design for performance at all levels, • Development Practice, • Automate everything by default, • Build a CI/CD pipeline, • Tech Stack Specialization, • Java, Spring boot, • Kafka, • Postgres, • Couchbase, • CI/CD: Azure pipelines / Git Actions., • Cloud: Azure We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. • Annual bonus scheme of up to 20% of base salary, • Holiday starting at 25 days plus a personal day (plus Bank holidays), • Private medical insurance, • 26 weeks maternity and adoption leave (12 months service required at thequalifyingdate) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave, • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing The above information is a shortened summary, refer to our policies for full details Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco. #J-18808-Ljbffr

Tesco is seeking an Analytics Capabilities specialist to design, build and maintain a shared mobile analytics library for native apps using Kotlin and Swift. You will work with Android, iOS, Product, Data and Analytics teams to deliver reusable SDKs and robust tracking solutions. You will ensure quality through unit and integration testing, document usage and release patterns, and help improve data quality and engineering efficiency across Tesco mobile apps. #J-18808-Ljbffr

We are looking for a highly capable Data Architect to join us on a 24-month FTC, bringing the ability to translate business needs into robust, scalable data architectures and confidently lead end-to-end design across complex, multi-domain technology landscapes. The role requires someone who can work collaboratively with business stakeholders, solution architects, data engineers, and product teams to shape, govern, and deliver scalable, reliable, and data-driven solutions that support operational, analytical, and regulatory objectives, while embedding integrity, lineage, and governance throughout the wider data estate and ensuring alignment to enterprise architecture and strategy. The ideal candidate will bring strong expertise in conceptual, logical, and physical data modelling, alongside deep experience in data governance, data quality, and metadata management. A strong knowledge of Master and Reference Data Management (MDM/RDM), with experience working across integrated data governance and metadata management ecosystems, including Infosphere, Alation, Informatica, and Ataccama, supporting data quality, lineage, governance, and enterprise-wide data consistency, would be highly valuable. • Develop conceptual, logical, and physical data models for operational, analytical, and regulatory workloads., • Create and maintain data architecture blueprints and reference architectures covering ingestion, integration, storage, lineage, and consumption., • Define modelling patterns (3NF, dimensional/star, Data Vault, canonical models) and guide teams on when and how to apply them., • Optimise physical designs for performance, scalability, cost and resilience across cloud data platforms (e.g., Snowflake, Databricks, Synapse, BigQuery)., • Lead design reviews, ensuring models are accurate, high-quality, and aligned with business capabilities and domain boundaries., • Define data ownership, stewardship models, and contribute to the governance operating framework., • Build and maintain data dictionaries, business glossaries, critical data elements (CDEs) and metadata standards., • Ensure all data solutions align with governance policies, including lineage, retention, access, and security requirements., • Support governance forums and collaborate with business stewards to drive consistent definitions and controlled change., • Embed data quality rules and dimensions (completeness, timeliness, accuracy, uniqueness, validity, consistency) across ETL/ELT and streaming pipelines., • Design data quality metrics, alerts, and monitoring frameworks to surface quality issues to stewards and downstream consumers., • Partner with engineering teams to implement automated DQ checks, profiling, and remediation patterns., • Ensure DQ scoring and lineage are built into architecture in a systematic and reusable way., • Lead architectural discovery to capture business needs, translate them into data requirements, and shape programme/solution scope., • Manage and communicate architectural decisions with senior business and technical stakeholders., • Navigate ambiguity and stakeholder nuance, ensuring alignment across product teams, SMEs, vendors, and governance bodies., • Produce high-quality design documentation and present designs to Architecture Review Boards or equivalent governance forums., • Oversee the implementation of data architectures and ensure engineering teams follow patterns, standards, and best practices., • Provide technical guidance on integration design, ingestion patterns, transformation methods, caching, orchestration, and storage optimisation., • Conduct design assurance throughout delivery, ensuring solutions adhere to non-functional requirements (performance, availability, resilience, cost)., • Coach engineers, analysts, and stewards on modelling, data quality, and governance practices., • Proven experience as a Data Architect, Solution Architect with strong data background, or senior data engineer/analyst transitioning into architecture., • Knowledge of Master and Reference Data Management and experience of integrated associated systems (Infosphere, Alation, Informatica, Ataccama etc), • Demonstrable expertise in conceptual, logical, and physical data modelling with clear understanding of modelling patterns and trade-offs., • Strong understanding of data governance frameworks, metadata management, data ownership/stewardship models, and business glossaries., • Hands-on experience embedding data quality rules, profiling, scoring, and exception management into pipelines., • Familiarity with modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, Redshift, etc.)., • Ability to lead architectural thinking across multiple domains and manage stakeholder complexity., • Ability to produce high-quality architectural artefacts: blueprints, models, solution designs, integration specifications., • Experience working in regulated sectors (utilities, financial services, health, etc.) is advantageous., • Experience with data mesh, domain-driven design, or federated data ownership models., • Experience with Great Expectations, dbt tests, or enterprise DQ tooling., • Knowledge of MDM, reference data management, and semantic modelling., • Experience with streaming platforms (Kafka, EventHub) and API-based integration., • Understanding of AI/ML data preparation pipelines and feature store design. Clear, scalable data models adopted across teams and projects. • High trust and alignment among stakeholders because architectural decisions are well-reasoned and clearly communicated., • Measurable improvements in data quality, lineage visibility, and governance adoption., • Production of repeatable design patterns and frameworks that accelerate delivery., • Delivery teams are confident, aligned, and able to execute effectively because the architecture removes ambiguity., • Competitive salary dependant on skills and experience, • Learning and development opportunities, including mentoring and a range of formal courses and open learning resources., • Entry into the company annual bonus scheme., • Annual leave from 26-30 rising with length of service, and the option to purchase up to 5 extra days., • A ‘Celebration Day’ in addition to public holidays that people can use to celebrate a religious festival or other occasion that is important to them., • A generous 'double match pension scheme' that doubles the contributions you make (company contribution capped at 12%), • We offer a range of family benefits including enhanced Maternity, Adoption, Paternity, Shared Parental Leave, Fertility Support Leave and up to 5 full or 10 half days of paid Carers Leave., • Menopause policy and Reasonable Adjustment policy to help everyone perform at their best., • Access to our Wellbeing Centre with support for looking after your physical and mental health., • Discounts at a Range of Retail Outlets through our Tap4Perks scheme, • Discounts on Dental and Medical Insurance through our Tap4Perks scheme through salary sacrifice, • Up to 4 Affinity days a year to volunteer in the community., • Life Assurance. As a Disability Confident employer, we’re committed to offering interviews to disabled candidates who meet the essential criteria and opt in on the application form. Ask the Talent Acquisition lead for the full job description to see all the criteria. If we have a very high volume of applicants and we’re not able to offer interviews to all, we’ll take a fair and proportionate number of disabled candidates through. #J-18808-Ljbffr

Tesco UK • Welwyn Garden City • Hybrid • Full-Time • Permanent • Working hours 36 Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco's data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale. Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments. We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. to find out more! • Annual bonus scheme of up to 20% of base salary., • Holiday starting at 25 days plus a personal day (plus Bank holidays)., • Private medical insurance., • 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave., • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. The above information is a shortened summary, refer to our policies for full details As a Senior Machine Learning Engineer, you'll be a significant contributor to the delivery of products in one of Tesco's most strategic technology areas. You'll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You'll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations. • Participating in group discussions on system design and architecture., • Working with product teams to communicate and translate needs into technical requirements., • Working with Data Scientists, Engineers and Product teams across the software lifecycle., • Delivering high quality code and solutions, bringing solutions into production., • Performing code reviews to optimise technical performance of data science solutions., • Supporting production systems, resolving incidents, and performing root cause analysis., • Continually look for how we can evolve and improve our technology, processes and practices., • Sharing knowledge with the wider engineering community., • Applying SDLC practices to create and release robust software. You come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data science solutions into production. You therefore tick the majority of the following points: • A higher degree in engineering, computer science, maths or science., • Customer focus with the right balance between outcome delivery and technical excellence., • The ability to apply technical skills and know-how to solving real world business problems., • Demonstratable experience of building scalable and resilient software systems., • Experience of leading a small team of engineers to meet the technical delivery and business outcomes., • Commercial experience contributing to the success of high impact Data Science projects within complex organisations., • Experience in MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management., • Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python., • Understanding of common data structures and algorithms., • Use of version control (Git) and related software lifecycle tooling., • Experience with tooling for monitoring, logging and alerting e.g. Splunk, New Relic or Grafana., • Experience of technologies such as Apache Spark, Databricks, Snowflake, or BigQuery to transform big-data optimised for Tesco scale, • Experience building solutions that run in the cloud, ideally Azure., • Experience with software development methodologies including Scrum & Kanban. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we're all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone's welcome. That's why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. #J-18808-Ljbffr

We are seeking a Solution Architect with deep Salesforce expertise and the breadth to design solutions across the wider enterprise landscape. Salesforce supports key customer, case management, quotation and commercial processes. We currently use Salesforce CPQ and are evolving towards Revenue Cloud. The successful candidate will understand when capability belongs in Salesforce and when another platform is the better fit. You will design end-to-end solutions spanning Salesforce, SAP, ServiceNow, Genesys, Azure, data and integration services, balancing business outcomes with security, resilience, supportability and cost. • End-to-End Solution Architecture, • Lead solution architecture for Salesforce-related initiatives, with accountability for the complete end-to-end solution., • Translate business outcomes and cross-functional processes into coherent architectures spanning customer engagement, quotation, ordering, fulfilment, billing and service operations., • Assess options objectively and allocate capabilities, data ownership and process responsibilities across Salesforce and other enterprise platforms., • Shape the evolution of Salesforce CPQ and Revenue Cloud as part of the wider commercial landscape., • Define secure, scalable and supportable integrations and non-functional requirements., • Work with business stakeholders, delivery teams and architects across SAP, ServiceNow, Genesys, Azure, Data, Security and Integration., • Produce clear architecture options, recommendations and decisions, and govern delivery against agreed designs and standards., • Ensure solutions have clear operational ownership and favour configuration and reuse over unnecessary customisation., • Substantial Salesforce solution architecture experience, including security, data modelling, automation, integration and scalable platform design., • Practical experience with relevant Salesforce capabilities such as Sales Cloud, Service Cloud, CPQ or Revenue Cloud., • Demonstrable experience designing end-to-end solutions across multiple enterprise platforms and making sound capability-placement decisions., • Strong understanding of enterprise integration patterns and their key trade-offs., • Experience defining non-functional requirements and governing solutions through design and delivery., • Ability to challenge assumptions, influence stakeholders and communicate complex decisions clearly to technical and non-technical audiences., • Architecture experience with Salesforce CPQ, Revenue Cloud or comparable quote-to-order capabilities., • Experience integrating Salesforce with ERP, ITSM, contact-centre or data platforms., • Working knowledge of SAP, ServiceNow, Genesys, Microsoft Azure or enterprise integration platforms., • Relevant Salesforce architecture certifications, as supporting evidence of expertise., • Solutions are driven by end-to-end business outcomes rather than the preference of a single platform., • Salesforce is used where it provides the best strategic fit, with clear boundaries, ownership and integration to the wider landscape., • Architecture decisions are clear, proportionate and balance delivery needs with security, resilience, supportability and cost., • Delivery teams receive practical guidance and solutions remain maintainable after implementation. #J-18808-Ljbffr

Copello Global is seeking a Lead Test Architect with a background in electronics to drive test designs across complex Defence & Aerospace projects. This hybrid role splits time between home and office, with leadership of a talented Test Architects team guiding equipment specification, testability, and collaboration with design and manufacturing teams. The successful candidate will ensure robust test coverage, model testability into designs, and engage with customers and suppliers. #J-18808-Ljbffr

WSP is seeking a Principal Geospatial Consultant to lead GeoAI initiatives across infrastructure sectors. You will architect and implement GIS-centric AI workflows, mentor junior staff, and collaborate with cross‑disciplinary teams to deliver data‑driven insights. You will design production‑grade Python workflows, integrate PyTorch/TensorFlow, and ensure robust GIS outputs for complex land, property, and utility projects while advancing our GeoAI practice. #J-18808-Ljbffr

Computacenter seeks a Solution Architect with deep Salesforce expertise to design end-to-end solutions across Salesforce and enterprise platforms. You will lead initiatives spanning Salesforce CPQ, Revenue Cloud, SAP, ServiceNow, Genesys and Azure, balancing business outcomes with security, resilience and cost. You will translate business needs into coherent architectures, govern delivery, and ensure reuse over unnecessary customization while collaborating with stakeholders and delivery teams #J-18808-Ljbffr

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Principal Data Architect, Information Architect, and Lead Data Modeler drives the strategic vision, structural design, and semantic definition of the organization’s enterprise data ecosystem. This role bridges the gap between high-level business strategy and technical execution, leading the design of scalable data architectures, comprehensive information blueprints, and robust enterprise data models. As a Principal Data Architect, you will champion data democratization, mentor junior architects and modelers, drive cross-functional alignment on data standards, and act as a primary technical advisor to senior leadership on modernizing our data landscape for analytics, AI, and operational excellence. • Data Architecture: Leads the definition and deployment of target-state enterprise data architectures, cloud data platforms, and data integration strategies., • Information Architecture: Establishes the enterprise-wide business glossary, conceptual data blueprints, and taxonomy/ontology frameworks to ensure a unified understanding of data across the business., • Data Modeling: Oversees the creation and maintenance of enterprise conceptual, logical and physical data models, • Mentorship: Oversees and mentors junior data architects, modelers, and engineers within the team., • Accountability / Problem Solving: Addresses highly complex structural and data integration issues across legacy, hybrid, and multi-cloud environments., • Resolves semantic ambiguity and structural conflicts across diverse business units to create a cohesive, single source of truth., • Ensures data structures are optimized for performance, scalability, security, and cost-efficiency., • Stakeholder Management: Liaises directly with senior leadership, product owners, and business analysts to translate business strategy into technical data requirements., • Guides and directs engineering, application, and analytics teams on structural compliance, modeling standards, and architectural patterns., • Impact / Strategy: Leads high-impact infrastructure and modeling projects that significantly shape the organization’s long-term data capabilities., • Develops long-term strategies for data minimization, retention‑by‑design, and decoupled data sharing., • Complexity / (Product Size): Manages enterprise‑level data models and architecture systems, and real‑time streaming pipelines., • Designs and implements advanced, reusable data patterns that scale frictionlessly across the organization., • Business / Technical Ability: Acts as an expert in modern data technologies, cloud infrastructure, and advanced data modeling methodologies., • Demonstrates a deep understanding of how data structures impact downstream AI/ML, advanced analytics, and business intelligence. Education / Experience • Extensive Experience: Leading the development, continuous improvement, and execution of complex enterprise data architectures and data modeling initiatives in a large‑scale corporate environment., • Proven Track Record: Architecting, deploying, and optimizing enterprise data warehouses, data lakes, and transactional databases., • Framework Mastery: Demonstrated experience implementing data frameworks (e.g., TOGAF, DAMA-DMBOK) and modern paradigms like Data Mesh., • Project Leadership: Proven history of leading high‑impact migration, modernization, or master data management (MDM) projects that shape overarching corporate data policies., • Technical & Business Skills:, • Data Architect: Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure)., • Deep expertise in data integration patterns (ETL/ELT, API‑led connectivity)., • Strong capability to design distributed, highly available, and secure data pipelines., • Information Architect: Deep expertise in metadata management, master data management (MDM), and reference data management., • Proven ability to construct enterprise taxonomies, ontologies, data lineages, and business glossaries., • Strong understanding of semantic web technologies (RDF, OWL, Knowledge Graphs)., • Data Modeler: Expert proficiency in industry‑standard data modeling tools., • Mastery of multiple modeling paradigms, e.g. Relational, Dimensional, and NoSQL/Document modeling., • Advanced knowledge of database optimization, indexing strategies, and query performance tuning., • Additional Qualifications:, • Exceptional Stakeholder Management: Ability to act as a key advisor and translate complex technical architecture into clear business outcomes for non‑technical senior leadership., • Strong Leadership: Capabilities to guide, direct, and oversee cross‑functional engineering and product teams., • Strategic Alignment: Ability to drive cross‑functional initiatives aimed at enhancing data trust, discoverability, and accessibility while ensuring strict alignment with overarching organizational business strategies. A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life‑changing healthcare solutions that make a global impact. Let’s build a healthier future, together. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche. #J-18808-Ljbffr

Senior Oracle Retail professional with 15+ years of specialized experience delivering end‑to‑end Oracle Retail implementations across versions 13 through 26. Experienced in working with Tier‑1 global retailers spanning apparel, grocery, furniture, hardware, and department store domains. Proven track record in leading complex integration initiatives, including on‑premise to SaaS migrations and legacy system upgrades to Oracle Cloud. Strong functional expertise across MFCS, IMCS, POM, RIHA, RICS, RMS, SIM, ReSA, REIM, RIB, FTS, and REST‑based integrations. Recognized for an analytical mindset, strong problem‑solving capabilities, and consistent stakeholder delivery. Technically proficient in Kubernetes, REST and XML integrations, PL/SQL, Pro*C, Unix, Oracle Forms, and BI reporting solutions. Should have proficiency in Oracle Retail Cloud version 25+ implementation with application as MFCS, ReSA, Integration, ReIM & Custom Application #J-18808-Ljbffr

Select how often (in days) to receive an alert: Location: UK - Hatfield | Job-ID: 219718 | Contract type: Standard | Business Unit: Cyber Security Life on the team Hybrid - Hatfield 3 days per week At Computacenter UK, we pride ourselves on fostering a culture that emphasises diversity, inclusivity, and collaboration. We are committed to building supportive and rewarding relationships, celebrating success, and treating everyone with respect. Our focus is on putting customers first, keeping our promises, and considering long-term sustainability in all our decisions. Computacenter has an ambitious transformation agenda, and we are looking to build a new Enterprise Architecture function to work alongside an already existing Solution Architecture team to support this. We are currently seeking an experienced Cyber Enterprise Architect to work closely with our CISO and CTO teams to create a compelling vision, strategy and roadmap for Cyber security, and then support our Solution Architecture and Delivery Teams to deliver the desired outcomes. What you’ll do • Lead the creation and evolution of Cyber Tech Strategies that are adopted by the CISO and other business and technology stakeholders., • Create and maintain a current and target view of our Enterprise Architecture to deliver our business and technology strategies., • Support business and technology change through capability roadmaps that inform Portfolio prioritisation., • Establish and assure effective architecture governance and tooling to support Solution Architecture and other GIS teams., • Work closely with our Solution Architecture function ensuring that Tech Strategy is viable and new ‘solutions’ can be architected within the EA Principles/Guardrails and still deliver the desired outcomes to the business areas., • Support annual and quarterly business and portfolio planning processes to ensure that the initiatives and plans are consistent with the agreed tech strategies., • Ensuring our EA tool information is up to date and has the required breadth and depth., • Support the development of architecture tools and techniques to support others in the practise. What you’ll need • Strong experience as a Cyber Enterprise Architect., • A track record of creating and embedding technology strategies either within a business domain or with in a large-scale transformation programme., • Effective communication skills with the ability to bridge technical and business terminology., • Ability to produce quality EA models and artifacts that drive effective decision making., • Ability to demonstrate alignment of technical decisions with business goals and value delivery., • A continuous learning mindset and to keep pace with industry and market trends., • Ability to use your skill and experience to create tools and content that will aid the development of the emerging EA practise., • Experience of following structured methodologies for consistency and risk reduction, e.g. TOGAF, SAFe and system development lifecycles e.g. waterfall, agile, DevOps & DevSecOps., • Ability to build trusted and respect as a ‘thought leader’ who can influence and when appropriate persuade technology and business leaders., • To be motivated by leading and driving the team to deliver upon the business strategy., • Ability to be technology neutral: unbiased towards any specific technology or vendor choice, entirely motivated by getting to ‘value & outcomes’., • Ability to propose and effectively estimate proposed solution commercials., • Exceptional interpersonal skills, teamwork, facilitation, and negotiation., • Proven analytical, planning, organisational and technology skills., • SC clearance or SC clearance eligible. About us Computacenter is a leading independent provider of IT infrastructure services, with about 21,000 employees worldwide. We work at the heart of digitisation, advising organisations on IT strategy, implementing the most appropriate technology and managing our customers’ infrastructures. We offer a friendly, open working environment without too much fuss about hierarchy. We are looking for professionals with diverse competencies, personalities and strengths who want to live our shared value of teamwork and performance. Interested in joining a company with a strong sense of community? We’re growing. We’re hiring. We empower. We support. #winningtogether #peoplematter #J-18808-Ljbffr

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