Role Description This is a full-time, permanent opportunity for candidates based in the UK. Please note that visa sponsorship is not available for this role. As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems. Qualifications - Professional experience as a Data Engineer, with strong focus on cloud-based data engineering using AWS - Strong expertise in Python development for production systems - Hands-on experience building and working with knowledge graphs - Strong experience with relational databases and enterprise data platforms - Demonstrated experience building high-quality data pipelines, including performance optimisation and diagnostics - Hands-on experience with Docker and containerised workloads - Experience creating and maintaining CI/CD pipelines - High standards for code quality, testing automation, and maintainable design - Strong problem-solving skills and ability to work independently in complex environments - Excellent communication and collaboration skills, with experience working in cross-functional teams Requirements - Nice to have: Experience with enterprise-scale data platforms - Nice to have: Interest in Generative AI and applied machine learning - Nice to have: Experience with SPARQL Benefits - Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance. - Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem! - Paid Time Off Package - We offer an annual leave of 25 days plus public holidays. We also offer sick leave, marriage leave and many more. - Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join. - Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance of up to €1000 (equivalent in GBP) you can use to upskill yourself. - Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team. - Pension & Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind. Company Description Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact. Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.

• Work directly with customers to understand business requirements and identify AI use cases • Design, build and deploy AI-powered applications using OpenAI technologies • Integrate Large Language Models into enterprise systems and business workflows • Develop backend services and APIs to support AI solutions • Build Retrieval-Augmented Generation (RAG) solutions and AI workflows • Integrate AI applications with existing enterprise platforms and data sources • Prototype, validate and optimize AI solutions for production environments • Collaborate with Software Engineers, Data Engineers and Solution Architects • Troubleshoot technical issues and optimize application performance • Contribute to best practices for AI engineering and customer delivery • For Senior-level candidates: lead technical discussions, mentor team members and support solution design

Role Description We are looking for a Data Platform Engineer to join our team and design, build, and operate enterprise-scale data and AI platforms that power modern analytics, AI, and data-driven solutions. - Design, build, and operate reliable, scalable, and secure data and AI platform services. - Develop self-service capabilities that empower engineering, analytics, and AI teams. - Implement and maintain metadata management, data lineage, and governance frameworks to ensure high data quality and discoverability. - Monitor, optimize, and continuously improve platform availability, performance, and operational excellence. - Drive platform efficiency through performance optimization, workload management, and cost-effective infrastructure practices. Qualifications - Hands-on experience with CDC replication and event streaming, preferably using Confluent and Apache Kafka. - Strong knowledge of data lake architectures, including Databricks, Delta Lake, and Unity Catalog. - Experience with metadata management, including data cataloging, lineage, data quality, and context management. - Proficiency in data orchestration and engineering automation using tools such as Airflow, Dagster, or dbt. - Solid background in platform engineering and DevOps, including Kubernetes, Docker, CI/CD, Infrastructure as Code (IaC), and platform monitoring. - Experience implementing data protection and security best practices, including PII handling, data masking, access controls, and governance policies. - Strong understanding of platform observability, incident response, and operational support for production environments. - Experience optimizing platform performance, workload management, and infrastructure costs. - Experience working in banking, financial services, or other regulated enterprise environments is a strong plus. Requirements - Must have practical experience using AI-assisted development tools and implementing context-aware and agentic data workflows in production environments. Benefits - Experience working in banking, financial services, or other highly regulated industries. - Experience supporting large-scale enterprise data platforms. - Hands-on experience with both modern (e.g., Databricks, Delta Lake) and traditional enterprise data platforms (e.g., Oracle, Informatica). - Familiarity with enterprise data governance and compliance requirements.

Title : Silicon Validation Engineer This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Job Family Definition HPE is seeking a Silicon Validation Engineer to support the validation of HPE Slingshot™ ASIC products. HPE Slingshot is a high‑performance networking interconnect for HPC and AI clusters, delivering industry‑leading bandwidth, low latency, and scalability for demanding workloads. Slingshot implements Ultra Ethernet Consortium (UEC) capabilities and is aligned with the Ultra Ethernet standard, enabling next‑generation Ethernet semantics optimized for HPC and AI at scale. This position is a self‑sufficient individual contributor responsible for developing and executing chip‑level validation tests, with a primary focus on emulator‑based and system‑level testing. The engineer works closely with senior validation engineers, architecture, design, and software teams to validate ASIC functionality, identify defects, and improve test coverage across multiple product generations. Job Level Definition Applies solid to advanced subject matter knowledge in silicon validation to solve moderately complex technical problems. Works independently on assigned validation areas and test development, while receiving technical direction on broader validation strategy and priorities. Contributes to cross‑functional project teams and demonstrates sound judgment in selecting methods and techniques to achieve objectives. Location Prefer candidates to have hybrid attendance at a physical HPE site. US‑based, fully remote employment negotiable. Responsibilities - Develop, execute, and maintain chip‑level validation tests for HPE Slingshot NIC and switch ASICs, primarily using emulator‑based environments. - Create object‑oriented Python test infrastructure and test cases that operate at the operating‑system and system‑integration level. - Validate both HPE Slingshot–specific functionality and industry‑standard networking protocols. - Debug functional, performance, and reliability issues uncovered during silicon validation, working closely with design, architecture, firmware, and software teams. - Contribute to validation planning by identifying coverage gaps and proposing additional test scenarios within assigned areas. - Support bring‑up activities for new ASIC revisions and platforms. - Document validation results, defects, and lessons learned to improve future validation effectiveness. - Participate in design reviews, validation reviews, and post‑silicon issue triage. Education and Experience Required - Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience. - Typically 4–8 years of experience in VLSI validation, verification, or related silicon engineering roles. Required Knowledge and Skills - Proficiency with Python programming - Proficiency in object‑oriented programming - Experience writing tests for integrated circuits - Proficiency with Linux command‑line environments. - Working knowledge of Verilog or other hardware description languages. - Experience with ASIC silicon validation or post‑silicon testing. - Working knowledge of high‑speed networking concepts and protocols (Ethernet, SERDES fundamentals). - Ability to independently execute validation tasks and debug complex technical issues. - Strong written and verbal communication skills in English. Preferred Knowledge and Skills - Experience with emulator‑based validation or FPGA‑based platforms. - Familiarity with high‑performance NIC or switch ASICs. - Exposure to HPC or AI system architectures. - Experience with scripting (e.g., Bash) and test automation. - Familiarity with industry‑standard lossless Ethernet or RDMA‑based technologies. Additional Skills: Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more} What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates Job: Engineering Job Level: TCP_03 "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 111,000 - 211,000 in Colorado // 105,500 - 243,000 in Minnesota & Texas & Wisconsin The listed salary range reflects base salary. Variable incentives may also be offered." HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.