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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 .

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.

ou build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements. This role sits at the heart of the AI engineering talent market - demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme. Key Responsibilities Architect and govern production grade agentic systems at enterprise scale: multi agent orchestration across complex environments, RAG pipelines, policy based routing, memory management, and programme level lifecycle observability Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric backed tradeoff decisions are documented and transferable Set multi LLM integration standards: vendor agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open source models Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems Lead client engineering engagements at senior level - facilitate architecture design sessions, lead proof of concept delivery, and drive alignment between client technology leadership and delivery teams Shape and publish reusable patterns, accelerators, and engineering standards that scale across the practice and reduce ramp up time on new client engagements Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme level AI impact in business terms to senior client stakeholders Qualifications Software engineering experience in production environments Hands on experience designing and deploying agentic AI solutions in a production environment - non negotiable Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent - at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOps fundamentals: eval harness design, prompt versioning, and production observability Cloud native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm) Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure People lead responsibilities: experience managing, developing, and performance managing a team of engineers; setting individual development plans and conducting career conversations Equal Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

About Scrumconnect Scrumconnect delivers innovative digital solutions that help organisations modernise services, improve user experiences, and accelerate transformation through agile delivery and engineering excellence. Role Overview We are seeking Software Engineers and Senior Software Engineers to support the delivery of secure, scalable, and resilient digital services. You will contribute to the design, development, testing, and deployment of software solutions while collaborating with multidisciplinary teams in an agile environment. Senior Software Engineers will also provide technical leadership, guide engineering standards, and support architecture and design decisions across programmes. Key Responsibilities Design, develop and maintain software applications and services. Build and integrate secure APIs and Back End services. Participate in solution design and technical discussions. Support testing, deployment and operational activities. Follow secure software development and DevOps practices. Essential Skills & Experience (Must Have) Java Spring Boot Kafka MongoDB API development and integration Basic understanding of Docker images and containers Unit Testing/TDD Gherkin-style BDD testing, preferably using Cucumber CI/CD experience (GitLab, Jenkins or GitHub Actions) Agile delivery experience (Scrum/Kanban) Desirable Skills AWS services (SQS, S3, SNS and/or KMS) GitLab CI/CD Gatling or K6 load testing Kubernetes or Amazon ECS Senior-Level Experience Experience designing large-scale software solutions Strong understanding of system architecture and data modelling Experience working with high-volume production systems Proven ability to mentor engineers and lead technical initiatives Strong stakeholder management and communication skills Additional Information SFIA Level: 4 & 5 Security Clearance: Active SC Clearance required Diversity & Inclusion Scrumconnect is an equal opportunity employer and is committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds, experiences and communities, and we are dedicated to building diverse teams that reflect the people and organisations we serve.

About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.

Permanent Full Time Professional Bristol, Bristol, England, GB 4 days ago Requisition ID: 3284 At Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work. Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade - wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively. Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We're looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication. This is a high-impact senior engineering role for someone who wants to shape how a large engineering organisation uses AI in real products and real development work. You will set patterns, create evaluation standards, coach engineers and help Klipboard turn AI from individual experimentation into repeatable, scalable engineering practice. The role is two jobs in one: the craft of getting reliable, measurable results from large language models through prompt engineering, context design and evaluation; and making everyone around you better at it. With hundreds of engineers across the UK and South Africa, the difference between an organisation where a few people prompt well and one where everyone does is enormous. Your success is measured less by what you personally produce and more by how quickly the engineers around you improve. Key Responsibilities Role Accountabilities Practise the craft at a high level - designing, building and refining prompts, context strategies and agentic workflows for AI features in our products. Grow the engineers around you - coaching, pairing, workshops and building shared assets that spread good practice across hundreds of engineers. Set standards and keep the organisation honest - defining what good looks like for prompting, evaluation and context engineering, and maintaining those standards as tools change. Key Activities and Contributions Design, build and refine prompts, context strategies and agentic workflows for AI features in Klipboard products, where a confidently wrong price, part match or stock answer is worse than no answer. Build evaluation into everything - test prompts against real business cases at scale, measure quality honestly, and treat "it looked fine when I tried it" as the start of the work, not the end. Work across models and providers, choosing pragmatically on quality, cost and latency rather than loyalty, and keeping up as models, tools and providers change quickly. Get deep into the domain detail with product teams and subject matter experts, because a prompt is only as good as the understanding of the business problem behind it. Coach engineers across teams to get dramatically more from AI coding tools and LLMs, through pairing, reviews, workshops and patient one-to-one help. Build and maintain shared prompt patterns, reusable templates, evaluation harnesses and internal guides, so good practice spreads as assets rather than folklore. Run an internal community of practice where engineers share what is working, what failed and why, and make it somewhere people actually want to show up. Help define what good looks like for prompting, context engineering and evaluation across R&D, and keep those standards current as tools and models change. Share measurable results with engineering leadership, including where AI tooling is genuinely paying off and where it is not. Systems, Tools and Technology Large language model APIs across multiple providers (GPT, Claude, Llama and equivalents) AI coding tools: GitHub Copilot, Cursor or equivalents Prompt engineering, context design and agentic workflow frameworks Evaluation harnesses, evaluation datasets and automated test suites for AI outputs Retrieval-augmented generation (RAG), vector search, embeddings and retrieval pipelines (desirable) LLM orchestration frameworks (LangChain, Semantic Kernel or equivalents - desirable) Technical and Professional Expertise Strong software engineering background with several years building and shipping production software. Substantial hands-on experience with large language models: prompt design, context engineering and structured outputs, in real work rather than personal experiments alone. Experience building evaluations or test harnesses for LLM outputs, and using them to improve quality measurably. Clear evidence of growing other engineers - through mentoring, teaching, internal training, communities of practice or similar. Daily working fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents, with a practical view of where they help and where they mislead. Core Responsibilities and Contributions Deliver AI features in Klipboard products with proper evaluation and measurable quality standards. Embed prompt engineering and evaluation best practice across the R&D organisation. Be the sceptical voice when something demos well but will not hold up in production; be the encouraging one when a genuinely good idea needs backing. Maintain high standards for safety, accuracy and data handling in everything that ships - customers run their businesses on the answers our software gives them. Build and sustain a living library of prompt patterns, templates and guides. Meet engineers where they are, including those working in long-established codebases, where getting real value from AI tools is some of the highest-leverage work in the company. Customer Experience Ensure AI features in Klipboard products give accurate, safe and trustworthy answers - customers run their businesses on our output. Work with product teams and subject matter experts to understand the business problem behind each feature properly before building. Prevent confidently wrong answers - incorrect prices, part matches or stock levels - from reaching customers. Key Outcomes and Activities Engineers across several teams can point to specific things they now do better because of coaching and knowledge-sharing. At least one AI feature or workflow shipped per quarter with proper evaluation behind it. A living, used library of prompt patterns, templates and guides in place and growing. Community of practice running, well attended, and producing outputs teams actually reuse. Engineering leadership has a clearer, evidence-based picture of where AI is paying off. Generous with knowledge and genuinely energised by other people getting better. If the instinct is to guard expertise rather than spread it, this is the wrong role. Rigorous and honest about results - measures, shows working, and says so when data disagrees with the enthusiasm. Patient with engineers at every level of AI maturity, from those who live in these tools to those who are quietly sceptical of the whole thing. Curious about the trades Klipboard customers work in, because the best prompts are full of domain understanding. Calm about the pace of change - treats model and tooling shifts as the interesting part of the job, not a threat. Works closely with engineering leadership, architecture, product and cross-site engineering teams across the UK and South Africa. Additional Responsibilities (as aligned to company job architecture) Some travel between Klipboard's UK and South Africa offices as part of the coaching and community-building remit. Keep standards current as models, tools and providers change rapidly. Represent Klipboard's engineering practice externally where appropriate - talks, writing or open-source contributions. Key Relationships (Internal and external) Internal Engineering leadership and architecture teams R&D engineering teams across Newcastle, Tankersley, Hungerford, Johannesburg and Cape Town / Stellenbosch Product managers and product owners Subject matter experts in Klipboard's product verticals (distributive trades, rental, automotive) External AI and LLM platform and tooling providers (as needed) Required Qualifications and Experience Strong software engineering background with several years building and shipping production software - this role needs an engineer first. Substantial hands on experience with large language models: prompt design, context engineering and structured outputs, in real work rather than personal experiments alone. Experience building evaluations or test harnesses for LLM outputs . click apply for full job details

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.

Business Solution Architect - Senior Manager Location: Aberdeen, Birmingham, Bristol, Cambridge, Cardiff, Edinburgh, Gibraltar, Glasgow, Leeds, London, Manchester, Milton Keynes, Newcastle upon Tyne, Nottingham, Reading, South Coast - Southampton, Watford Capability: Audit Experience Level: Senior Manager Type: Full Time Business Area: Audit Centre of Excellence (ACE) Contract type: Permanent Grade: B Job Title: Business Solution Architect Team: Canary Wharf or UK-wide Service line: Central Audit Summary of role purpose The Business Solution Architect is responsible for translating strategic business objectives into integrated, scalable solutions. Reporting to the Lead Architect, this role is key in the intent of business portfolio leads into a structured, evidence-based view of the business capabilities, value streams, and target operating model the function needs - and then converts that into a prioritised, outcome-anchored roadmap that drives the technology backlog. The Business Solution Architect works closely with both technical and non-technical teams to turn requirements into practical, effective solutions, and supports the ongoing rationalisation and enhancement of tools - especially incorporating AI-driven capabilities wherever possible. Description of the role Key Responsibilities Collaborate with business stakeholders and the business portfolio Directors to capture requirements and help shape solutions that support business goals, ensuring business intent is captured before it reaches solution design Design and document business processes, workflows, and how information flows and translate that into clear structured business architecture capabilities, value streams and operating-model implications. Ensure solutions adhere to established design and architectural standards, and assist in evolving those standards as needs change. Work with engineering and product teams to ensure seamless integration and implementation of business solutions. Identify where AI and automation create genuine business value within the audit value stream defining the business case. Advocate for user centric design, ensuring solutions are usable and add meaningful value. Support change management and user adoption efforts, providing training and documentation as needed. Own end-to-end process design and standardisation across the audit delivery, value stream, identifying handoffs, bottlenecks, rework, and waste Establish process standards and modelling convention and use them to quantify the business case for change. Mentor business and process analysts and build business architecture literacy across portfolio and product teams. Due to the nature of the position, you may be working at/visiting a client site and/or other KPMG offices. The person Experience and knowledge requirements Experience in business architecture, solution design, or business analysis within a complex, multi system environment. (E) Solid understanding of business process mapping, workflow optimisation, and integration techniques. (E) Basic to moderate technical expertise, with the ability to communicate effectively with engineering and product teams. (D) Familiarity with AI driven business solutions and data architecture concepts. (D) Strong problem solving, documentation, and communication skills. (E) Behavioural Attributes and Skills Collaborative, with an ability to work across teams and levels. Detail oriented and committed to delivering high quality solutions. Open minded, adaptable, and proactive in seeking improvements. User focused, with an appreciation for practical business outcomes. Qualifications Bachelor's degree in Business, Information Systems, Computer Science, or a related field. Relevant certifications in business analysis, solution architecture, or process design are beneficial (e.g., TOGAF, Azure Architect). Exposure to Professional Services or Audit (Big 4 experience is a plus) is an advantage. Equal Opportunity KPMG are proud to be an inclusive, equal opportunity employer and we seek to attract and retain the best people from the widest possible talent pool. As a member of the Business Disability Forum we're committed to ensuring that all candidates are treated fairly throughout the Recruitment Process.

Solution Architect - Clara Technology & Solutions - Senior Manager Location: Aberdeen, Birmingham, Bristol, Cambridge, Cardiff, Edinburgh, Gibraltar, Glasgow, Leeds, London, Manchester, Milton Keynes, Newcastle upon Tyne, Nottingham, Reading, South Coast - Southampton, Watford, UK Capability: Audit Experience Level: Senior Manager Type: Full Time Business Area: Audit Centre of Excellence (ACE) Contract type: Permanent Grade: B Job Title: Solution Architect Team: Clara Technology & Solutions Service line: Audit Central KPMG Audit Clara Technology & Solutions builds technology solutions in close collaboration with the Audit function. The team blends audit expertise with technology capability to understand the challenges auditors face and develop strategically important products that simplify delivery while enhancing Audit Quality. The Solution Architect will design and guide secure, scalable and future ready solutions for audit technology services. The role will work with audit business teams, architects, technology teams, delivery teams and vendors to shape architectures that deliver measurable value and remain robust, maintainable and aligned to KPMG technology policies and standards. As a trusted advisor, the Solution Architect will help resolve complex delivery and design challenges, support teams to deliver with confidence, and contribute to a growing portfolio of audit technology products and services. Description of the role: The Role The Solution Architect is responsible for defining end to end solution architectures across audit technology initiatives. The role combines business understanding, technical breadth, architecture governance and delivery support to ensure solutions are feasible, secure, scalable and aligned to strategic and operational needs. The role requires strong knowledge of wider technology trends and the KPMG technology ecosystem, including application, integration, data, technology and security architecture. The Solution Architect will build conceptual and detailed solution architecture designs, support governance and assurance processes, and work closely with project teams to translate business requirements into practical technical solutions. Responsibilities Define end-to-end solution architectures for audit technology projects and portfolio initiatives. Create and develop conceptual and detailed solution architecture design documents. Ensure solutions are secure, scalable, robust, maintainable and future ready. Apply architecture best practice across application, integration, data, technology and security domains. Business and Technology Translation Work with other architects, technical SMEs and project teams to analyse business requirements and translate them into feasible technical requirements. Shape solution options that meet business needs while aligning with architecture principles, delivery constraints and technology standards. Explain technical concepts to non-technical audiences in a way that is relevant, easy to consume and compelling. Governance, Standards and Assurance Ensure alignment with the Firm's technology policies, architecture standards and delivery governance expectations. Contribute to governance processes where applicable, including helping projects navigate the Technology Assurance Process. Champion architectural quality and help ensure architectural guidelines and best practices are followed during the development and implementation of technology initiatives. Support the identification and management of technical debt, including its causes, measurement and remediation options such as decommissioning. Technology Strategy and Market Awareness Maintain a high level of technical knowledge, including current, emerging and future technology market trends and their impact on the business. Assess emerging technologies and identify opportunities to improve audit technology services and delivery outcomes. Apply knowledge of SaaS, cloud hosting, integration technologies, cloud computing platforms, microservices architecture and modern development practices. Delivery Support and Risk Management Work closely with the Audit Lead Architect, development teams, other architects and third party suppliers. Identify business and project risks and mitigate or communicate them as necessary. Ensure progress updates are communicated to relevant parties both formally and informally. Carry out additional duties as may occur from time to time as instructed and agreed by leadership. Stakeholder and Relationship Management Develop relationships across KPMG business and technology functions. Use stakeholder management skills to ensure end to end solutions are designed and developed to meet requirements and best practice standards. Leverage internal networks across KPMG to access additional expertise where required. Due to the nature of the position, you may be working at or visiting a client site and/or other KPMG offices. Person Experience and knowledge requirements Experience in Solution Architecture roles. Strong all round competence across application, integration, data, technology and security architecture. Good understanding of SaaS, cloud hosting and integration technologies. Knowledge of cloud computing platforms, microservices architecture and modern development practices. Business focused approach, with the ability to communicate effectively with both technical and business stakeholders. Experience working with Agile SDLC methods. Understanding common business analysis techniques and approaches. Good understanding of project management concepts, including plans, risks, assumptions and dependencies. Good understanding of technical debt, including its causes, how to measure it and remedial actions including decommissioning. Good oral and written communication skills. Good interpersonal and leadership skills. Ability to work with ambiguity at the beginning of projects and provide clarity of direction. Practical understanding of GDPR and ISO 27001 is desirable. Behavioural Attributes and Skills Trusted advisor mindset, able to guide teams through complex architecture and delivery challenges. Collaborative working style with the ability to operate across audit business teams, architects, engineers, delivery teams and third party suppliers. Pragmatic and delivery focused, balancing architecture quality with project constraints and business outcomes. Clear and confident communicator able to engage both technical and non technical stakeholders. Proactive approach to risk identification, governance support and continuous improvement. Curiosity and commitment to staying current with technology trends and their relevance to audit technology delivery. Qualifications Relevant certifications such as ITIL, TOGAF and Microsoft Certified: Azure Solution Architect are beneficial but not required. KPMG are proud to be an inclusive, equal opportunity employer and we seek to attract and retain the best people from the widest possible talent pool. As a member of the Business Disability Forum we're committed to ensuring that all candidates are treated fairly throughout the Recruitment Process. We are a recognised leader in the Government's scheme, offering a Guaranteed Interview Scheme for all experienced professional opportunities. We don't accept speculative CVs from agencies - you can see our policy on agencies here.

Job Description At Leonardo, we're offering a fantastic opportunity for a Senior Systems Engineer to play a pivotal role in shaping the future of Through Life Services for the UK's next generation combat aircraft. Step into a position where your System engineering expertise and collaborative mindset will directly influence the future of UK defence capability. Your Impact As part of a dynamic and highly integrated team, you'll contribute to the development of innovative Through Life Service solutions, working at the forefront of a cutting edge combat air programme. You'll collaborate closely with engineering specialists, international industry partners and wider stakeholders to influence early support design decisions, shape advanced support concepts, and deliver sustainable, high value solutions that will underpin front line operations for decades to come. What you'll do as a Senior Systems Engineer Identify and engage a complete set of stakeholders for the Through Life Services (TLS) element of the programme, and support the development of an effective stakeholder engagement and communication strategy. Elicit, analyse and mature stakeholder needs-prioritising, balancing and trading off interests and influence to define optimal capability solutions. Contribute to the creation of concepts and architectures for the Through Life Support solution, collaborating closely with product design teams and functional SMEs (e.g., supportability, obsolescence, data). Conduct system functional analysis, modelling and architecture development/refinement as required. Ensure effective application of appropriate tools and techniques for problem definition within the team. Support the definition and establishment of Use Cases to inform Functional Analysis and help derive the logical architecture of the solution. Work closely with internal and external stakeholders to ensure alignment between the TLS architecture and wider programme elements. Identify and elevate emerging issues, contribute to risk assessment activities, and help shape mitigation strategies and opportunity exploitation. Coordinate multi stakeholder inputs and deliver clear, high quality reports and presentations for customers and industry partners. Build and maintain strong relationships across and beyond the line of business, actively promoting best practice adoption. What you'll bring Experience capturing and analysing stakeholder needs to guide the development of service solutions suitable for future operational environments. Experience applying Model Based Systems Engineering (MBSE) approaches to develop service and product system architectures in response to stakeholder requirements. Experience generating Use Cases and conducting Functional Analysis to support requirements refinement and validation. Experience managing requirements and maintaining traceability throughout the engineering lifecycle. A solid understanding of the engineering lifecycle and how early technical decisions impact later development and support phases. The ability to balance competing needs and constraints using structured methods such as trade studies. Strong interpersonal and collaboration skills, with the ability to influence, communicate effectively and adapt to changing programme demands. The ability to work confidently with internal and external stakeholders across diverse organisations, disciplines, backgrounds and levels of seniority. A commitment to maintaining engineering best practice, including seeking insight from academia, industry benchmarks and wider external sources. The ability to explore and articulate the problem space objectively, without bias toward predetermined solutions. An appreciation of how systems integrate into a broader capability enterprise-such as system of systems relationships and dependencies on personnel, training and infrastructure. A self motivated mindset with strong problem solving skills and the drive to take complex issues through to resolution. Security Clearance This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi days each year. Secure your Future: Benefit from our award winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Primary Location GB - Luton - Cap. Green 300 Additional Locations GB - Basildon, GB - Bristol - Coldharbour Lane, GB - Edinburgh, GB - Lincoln, GB - Newcastle, GB - Southampton Contract Type Employee Permanent Hybrid Working Hybrid

Job Description Job Role: Data Science Associate Manager Location: London/Manchester/Edinburgh/Newcastle/Birmingham Career Level: Manager - ML8 We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Data & AI team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Data Science Associate Manager, you will: Shape Customer and Marketing Experiences w/ Generative AI solutions Be at the forefront of the industry - creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always on enterprises. Contribute to initiatives that use data science and generative AI to improve customer and marketing experiences for clients. Support the development of data platforms, data products, and capabilities that empower analytics and AI teams. Assist senior leaders in shaping elements of the strategic direction for practice's data science and data engineering ecosystem. Help assess generative AI proposals by reviewing feasibility, data requirements, model considerations, and integration with existing technology stacks. Collaborate with digital teams, architects, and stakeholders to support & lead the design of enterprise AI and data science solutions. Deliver Real World Business Impact Drive and support real world solutions into production that drive measurable business value for our clients. Work alongside global teams to collaborate and deliver the best solutions for clients. Grow Your Expertise and Career Become an integral part of our team with the credibility, expertise, and insight clients depend on. Develop your skills with our world class training programmes. Drive your career progression through our structured career development programs. Work with industry partners to expand your exposure to modern data science tools and enterprise AI technologies. Collaborate with Global Brands Work with leading global brands and household names on impactful data science and AI use cases. Support the creation of reusable data science assets, feature stores, model templates, and best practice frameworks. Consult on complex analyses and advanced machine learning methods. Help prepare communication materials and support discussions with senior client leaders and technical teams. Contribute to shaping AI strategies and supporting delivery of LLM based and data science driven solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. Qualification In this role you will: Define and Deliver Customer Centric Data Strategies Translate business needs into data science and analytics requirements, supporting the development of scalable data pipelines and model ready datasets. Work with senior architects and data science leaders to help define AI and data strategies aligned with client objectives. Contribute to the development and delivery of LLM based and ML based solutions that improve customer and marketing outcomes. Lead Generative AI Innovation and Prototyping Support early stage generative AI initiatives, helping design PoCs, prototypes, and model evaluation frameworks. Act as a knowledgeable resource on data science aspects of generative AI, collaborating with digital, platform, and governance stakeholders. Deploy and Scale AI Solutions Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes. Help utilise cloud platforms (AWS, Azure, GCP) for scalable data science and generative AI deployments. Work with engineers to support the deployment of machine learning algorithms that deliver tangible business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment. Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices Contribute to the adoption of modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing. Drive the creation of reusable data science assets, frameworks, and best practices. Assist in applying advanced machine learning techniques to solve complex business challenges. Lead Across Industries and Teams Support the delivery of AI driven customer and marketing transformations across industries. Help communicate insights and contribute to strategic discussions with clients and internal teams. Share data science knowledge and collaborating on best practices practice. Locations London 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 .