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Location: Glasgow Salary: Competitive Salary + Package (dependent on experience) Career level: Specialist/Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: Working across industry groups, our Data & AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile data and AI solutions in the world. We operate across Financial Services, Resources, Products, Communications and Health & Public Services. Our practice is built around three strategic capabilities: AI Platform Engineering, AI Pipelines, and Data Products. Together these capabilities cover the full spectrum of modern data and AI delivery — from the cloud infrastructure and platforms that underpin AI workloads, through the pipelines that move and transform data at scale, to the data products that turn engineering effort into lasting business value. As a Data & AI Engineer, you will join as an entry point into this capability, working across our three areas and developing your skills and specialisms as you grow. Our engineers work in an AI-augmented delivery model — using GenAI tooling as part of everyday engineering practice, applying AI‑assisted approaches to how we design, build, test and document, and creating data and platform foundations that are ready for the AI and agentic systems our clients are building and running. 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. • Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake, • Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data at scale, • Building and supporting cloud platform infrastructure using Infrastructure as Code tools such as Terraform, Bicep or CloudFormation, contributing to the automated provisioning and management of cloud environments, • Implementing CI/CD pipelines for data and platform solutions using Git, Azure DevOps or GitHub Actions, including AI-assisted approaches to automated testing and documentation as part of standard delivery practice, • Applying data modelling principles — including dimensional/Kimball, medallion architecture and source-to-target mapping — using AI tooling to draft and iterate models, with the ability to critically review outputs for correctness and fitness for purpose, • Implementing data quality, lineage, observability and monitoring capabilities, applying automation and AI-assisted tooling to build scalable, self-describing pipelines and platforms, • Supporting cloud platform operations including networking, identity and access management, security fundamentals and policy adherence, • Using GenAI and AI-assisted development tools to accelerate engineering delivery — writing, testing and documenting with AI assistance and applying engineering judgement to validate and correct generated outputs, • Developing a working understanding of agentic concepts — including how autonomous and human-in-the-loop AI systems interact with data and platform infrastructure — to inform how you design and build solutions that are fit for agentic consumption, • Collaborating with architects, product engineers and business stakeholders to understand requirements and contribute to solutions that meet both technical and business needs, • Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake, • Python and SQL, with strong engineering fundamentals, • Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering — or both, • CI/CD tooling for data and platform delivery (Git, Azure DevOps, GitHub Actions), • Practical use of GenAI or AI-assisted development tools (e.g. GitHub Copilot, Cursor, Databricks Assistant or similar) in day-to-day engineering work, • Some familiarity with AI-ready architecture concepts — including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems, • A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply if: You don’t need to tick every box on this list. We’re looking for curious, driven technologists who have demonstrable experience across a number of the skills and technologies above, and the appetite to grow into the rest. If you relish a challenge, embrace learning as part of your everyday work, and want to be part of a team that pushes boundaries and holds itself to a high standard — we want to hear from you. • Data modelling experience including dimensional design, medallion architecture or source-to-target mapping, • Hands-on experience building pipelines that support agentic workflows or LLM-based applications, • Familiarity with data product principles: discoverability, reusability, quality contracts and SLAs, • Hands-on experience with Decision Intelligence Platforms (e.g. Palantir, Quantexa), • Infrastructure as Code experience (Terraform, Bicep, CloudFormation or similar), • Cloud networking, identity, access management or security engineering experience, • Familiarity with policy-as-code or platform governance controls, • Relevant cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate), • AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) At Accenture, in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days’ leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first‑class services we are known for. Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialised skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. Our 700,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date for Applications: 18/12/2026 #LI-EU Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com We 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. #J-18808-Ljbffr

Our client is a global professional services and technology consultancy. Data & AI Engineer Location: Glasgow Salary: Competitive Salary + Package (dependent on experience) Career level: Our client will hire at Specialist/Consultant level Our client is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, our client is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of our client: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, our CEO As a team: Working across industry groups, our Data & AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile data and AI solutions in the world. We operate across Financial Services, Resources, Products, Communications and Health & Public Services. Our practice is built around three strategic capabilities: AI Platform Engineering, AI Pipelines, and Data Products. Together these capabilities cover the full spectrum of modern data and AI delivery — from the cloud infrastructure and platforms that underpin AI workloads, through the pipelines that move and transform data at scale, to the data products that turn engineering effort into lasting business value. As a Data & AI Engineer, you will join as an entry point into this capability, working across our three areas and developing your skills and specialisms as you grow. Our engineers work in an AI-augmented delivery model — using GenAI tooling as part of everyday engineering practice, applying AI-assisted approaches to how we design, build, test and document, and creating data and platform foundations that are ready for the AI and agentic systems our clients are building and running. 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 a Data & AI Engineer, you will work across the following: Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data at scale Building and supporting cloud platform infrastructure using Infrastructure as Code tools such as Terraform, Bicep or CloudFormation, contributing to the automated provisioning and management of cloud environments Implementing CI/CD pipelines for data and platform solutions using Git, Azure DevOps or GitHub Actions, including AI-assisted approaches to automated testing and documentation as part of standard delivery practice Applying data modelling principles — including dimensional/Kimball, medallion architecture and source-to-target mapping — using AI tooling to draft and iterate models, with the ability to critically review outputs for correctness and fitness for purpose Implementing data quality, lineage, observability and monitoring capabilities, applying automation and AI-assisted tooling to build scalable, self-describing pipelines and platforms Supporting cloud platform operations including networking, identity and access management, security fundamentals and policy adherence Using GenAI and AI-assisted development tools to accelerate engineering delivery — writing, testing and documenting with AI assistance and applying engineering judgement to validate and correct generated outputs Developing a working understanding of agentic concepts — including how autonomous and human-in-the-loop AI systems interact with data and platform infrastructure — to inform how you design and build solutions that are fit for agentic consumption Collaborating with architects, product engineers and business stakeholders to understand requirements and contribute to solutions that meet both technical and business needs We are looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering — or both CI/CD tooling for data and platform delivery (Git, Azure DevOps, GitHub Actions) Practical use of GenAI or AI-assisted development tools (e.g. GitHub Copilot, Cursor, Databricks Assistant or similar) in day-to-day engineering work Some familiarity with AI-ready architecture concepts — including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply if: You don't need to tick every box on this list. We're looking for curious, driven technologists who have demonstrable experience across a number of the skills and technologies above, and the appetite to grow into the rest. If you relish a challenge, embrace learning as part of your everyday work, and want to be part of a team that pushes boundaries and holds itself to a high standard — we want to hear from you. Set yourself apart with one or more of the following: Data modelling experience including dimensional design, medallion architecture or source-to-target mapping Hands-on experience building pipelines that support agentic workflows or LLM-based applications Familiarity with data product principles: discoverability, reusability, quality contracts and SLAs Hands-on experience with Decision Intelligence Platforms (e.g. Palantir, Quantexa) Infrastructure as Code experience (Terraform, Bicep, CloudFormation or similar) Cloud networking, identity, access management or security engineering experience Familiarity with policy-as-code or platform governance controls Relevant cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for you In addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days' leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About our client Our client is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialised skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services — all powered by the world's largest network of Advanced Technology and Intelligent Operations centres. Our 700,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at Our client is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date for Applications: 18/12/2026 #LI-EU About our client Our client is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Engineering and Creative, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at Equal Employment Opportunity Statement We 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. TPBN1_UKTJ

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Location: Glasgow Salary: Competitive Salary + Package (dependent on experience) Career level: Specialist/Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO Working across industry groups, our Data & AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile data and AI solutions in the world. We operate across Financial Services, Resources, Products, Communications and Health & Public Services. Our practice is built around three strategic capabilities: AI Platform Engineering, AI Pipelines, and Data Products. Together these capabilities cover the full spectrum of modern data and AI delivery — from the cloud infrastructure and platforms that underpin AI workloads, through the pipelines that move and transform data at scale, to the data products that turn engineering effort into lasting business value. As a Data & AI Engineer, you will join as an entry point into this capability, working across our three areas and developing your skills and specialisms as you grow. Our engineers work in an AI-augmented delivery model — using GenAI tooling as part of everyday engineering practice, applying AI-assisted approaches to how we design, build, test and document, and creating data and platform foundations that are ready for the AI and agentic systems our clients are building and running. 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. • Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake, • Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data at scale, • Building and supporting cloud platform infrastructure using Infrastructure as Code tools such as Terraform, Bicep or CloudFormation, contributing to the automated provisioning and management of cloud environments, • Implementing CI/CD pipelines for data and platform solutions using Git, Azure DevOps or GitHub Actions, including AI-assisted approaches to automated testing and documentation as part of standard delivery practice, • Applying data modelling principles — including dimensional/Kimball, medallion architecture and source-to-target mapping — using AI tooling to draft and iterate models, with the ability to critically review outputs for correctness and fitness for purpose, • Implementing data quality, lineage, observability and monitoring capabilities, applying automation and AI-assisted tooling to build scalable, self-describing pipelines and platforms, • Supporting cloud platform operations including networking, identity and access management, security fundamentals and policy adherence, • Using GenAI and AI-assisted development tools to accelerate engineering delivery — writing, testing and documenting with AI assistance and applying engineering judgement to validate and correct generated outputs, • Developing a working understanding of agentic concepts — including how autonomous and human-in-the-loop AI systems interact with data and platform infrastructure — to inform how you design and build solutions that are fit for agentic consumption, • Collaborating with architects, product engineers and business stakeholders to understand requirements and contribute to solutions that meet both technical and business needs, • Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake, • Python and SQL, with strong engineering fundamentals, • Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering — or both, • CI/CD tooling for data and platform delivery (Git, Azure DevOps, GitHub Actions), • Practical use of GenAI or AI-assisted development tools (e.g. GitHub Copilot, Cursor, Databricks Assistant or similar) in day-to-day engineering work, • Some familiarity with AI-ready architecture concepts — including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems, • A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You don’t need to tick every box on this list. We’re looking for curious, driven technologists who have demonstrable experience across a number of the skills and technologies above, and the appetite to grow into the rest. If you relish a challenge, embrace learning as part of your everyday work, and want to be part of a team that pushes boundaries and holds itself to a high standard — we want to hear from you. • Data modelling experience including dimensional design, medallion architecture or source-to-target mapping, • Hands-on experience building pipelines that support agentic workflows or LLM-based applications, • Familiarity with data product principles: discoverability, reusability, quality contracts and SLAs, • Hands-on experience with Decision Intelligence Platforms (e.g. Palantir, Quantexa), • Infrastructure as Code experience (Terraform, Bicep, CloudFormation or similar), • Cloud networking, identity, access management or security engineering experience, • Familiarity with policy-as-code or platform governance controls, • Relevant cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate), • AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) At Accenture, in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days’ leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialised skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. Our 700,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date for Applications: 18/12/2026 #LI-EU #J-18808-Ljbffr

Location: Glasgow Salary: Competitive Salary + Package (dependent on experience) Career level: Specialist/Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO Working across industry groups, our Data & AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile data and AI solutions in the world. We operate across Financial Services, Resources, Products, Communications and Health & Public Services. Our practice is built around three strategic capabilities: AI Platform Engineering, AI Pipelines, and Data Products. Together these capabilities cover the full spectrum of modern data and AI delivery — from the cloud infrastructure and platforms that underpin AI workloads, through the pipelines that move and transform data at scale, to the data products that turn engineering effort into lasting business value. As a Data & AI Engineer, you will join as an entry point into this capability, working across our three areas and developing your skills and specialisms as you grow. Our engineers work in an AI-augmented delivery model — using GenAI tooling as part of everyday engineering practice, applying AI-assisted approaches to how we design, build, test and document, and creating data and platform foundations that are ready for the AI and agentic systems our clients are building and running. 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. • Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake, • Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data at scale, • Building and supporting cloud platform infrastructure using Infrastructure as Code tools such as Terraform, Bicep or CloudFormation, contributing to the automated provisioning and management of cloud environments, • Implementing CI/CD pipelines for data and platform solutions using Git, Azure DevOps or GitHub Actions, including AI-assisted approaches to automated testing and documentation as part of standard delivery practice, • Applying data modelling principles — including dimensional/Kimball, medallion architecture and source-to-target mapping — using AI tooling to draft and iterate models, with the ability to critically review outputs for correctness and fitness for purpose, • Implementing data quality, lineage, observability and monitoring capabilities, applying automation and AI-assisted tooling to build scalable, self-describing pipelines and platforms, • Supporting cloud platform operations including networking, identity and access management, security fundamentals and policy adherence, • Using GenAI and AI-assisted development tools to accelerate engineering delivery — writing, testing and documenting with AI assistance and applying engineering judgement to validate and correct generated outputs, • Developing a working understanding of agentic concepts — including how autonomous and human-in-the-loop AI systems interact with data and platform infrastructure — to inform how you design and build solutions that are fit for agentic consumption, • Collaborating with architects, product engineers and business stakeholders to understand requirements and contribute to solutions that meet both technical and business needs, • Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake, • Python and SQL, with strong engineering fundamentals, • Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering — or both, • CI/CD tooling for data and platform delivery (Git, Azure DevOps, GitHub Actions), • Practical use of GenAI or AI-assisted development tools (e.g. GitHub Copilot, Cursor, Databricks Assistant or similar) in day-to-day engineering work, • Some familiarity with AI-ready architecture concepts — including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems, • A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You don’t need to tick every box on this list. We’re looking for curious, driven technologists who have demonstrable experience across a number of the skills and technologies above, and the appetite to grow into the rest. If you relish a challenge, embrace learning as part of your everyday work, and want to be part of a team that pushes boundaries and holds itself to a high standard — we want to hear from you. • Data modelling experience including dimensional design, medallion architecture or source-to-target mapping, • Hands-on experience building pipelines that support agentic workflows or LLM-based applications, • Familiarity with data product principles: discoverability, reusability, quality contracts and SLAs, • Hands-on experience with Decision Intelligence Platforms (e.g. Palantir, Quantexa), • Infrastructure as Code experience (Terraform, Bicep, CloudFormation or similar), • Cloud networking, identity, access management or security engineering experience, • Familiarity with policy-as-code or platform governance controls, • Relevant cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate), • AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) At Accenture, in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days’ leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialised skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. Our 700,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date for Applications: 18/12/2026 #J-18808-Ljbffr

The role As a Senior Forestry Programme Engineer, you'll play a leading role in shaping and delivering the future infrastructure of the Welsh Government Woodland Estate. Working within NRW's Integrated Engineering Team, you'll be responsible for developing and managing a rolling five-year programme of civil engineering projects that are vital to sustainable forest management and timber production. This includes the planning and delivery of new forest roads, bridges, junctions, major forest tracks and associated infrastructure across some of Wales' most unique and challenging environments. This is a varied and influential role where you'll combine strategic programme management with technical engineering expertise. From surveying sites and developing engineering solutions, to securing permissions and consents, preparing feasibility studies and producing tender-ready project packages, you'll take projects from concept through to delivery. You'll work closely with colleagues across Forest Operations and Land Management, as well as external stakeholders including Local Planning Authorities and SuDS Approval Bodies, to ensure projects are delivered safely, sustainably and to the highest standards. Beyond project delivery, you'll help drive engineering excellence across the team by providing technical guidance, mentoring colleagues and championing safe-by-design principles. Your work will have a direct impact on maintaining access to our forests, supporting national timber production targets, protecting environmental standards and helping NRW deliver its commitment to the Sustainable Management of Natural Resources. If you're an experienced civil engineer looking for an opportunity to lead complex infrastructure programmes, influence strategic decision-making and make a lasting impact on Wales' natural environment, we'd love to hear from you. A full, valid UK driving licence is essential for this role. Regular travel is required across the South Central area, including frequent visits to remote forestry sites and infrastructure projects located within the Welsh Government Woodland Estate. As many of these locations are inaccessible by public transport, the ability to travel independently is a key requirement of the post. As an organisation we support flexible working. You will be contracted to an NRW office within the place base / location above and a suitable hybrid working pattern will be agreed on appointment. Any regular face to face meetings or training will be planned in advance. To make an informal enquiry about this role, please contact Mark Davies at . Interviews will be face to face week commencing 16 November 2026 (details of location will be shared in advance) About us Natural Resources Wales (NRW) plays a vital role in protecting the environment, supporting communities and businesses, and managing the natural resources that underpin Wales' economy, culture and quality of life. As part of NRW, you'll join the Integrated Engineering Team, a specialist group responsible for designing and delivering the roads, bridges and infrastructure that support sustainable forestry across the Welsh Government Woodland Estate. Working in some of Wales' most stunning landscapes, you'll help deliver projects that keep our forests accessible, productive and resilient for future generations. This is a unique opportunity to apply your engineering expertise to projects of real environmental and national importance, while benefiting from the flexibility, development opportunities and sense of purpose that come with working for NRW. What you will do • Collaborate with specialist senior officers and leads across multi-disciplinary teams in NRW. Identify all consents and permissions required and apply for/instruct colleagues to obtain these in a timely manner., • Provide mentoring and staff development support to team members and champion health, safety, wellbeing and environmental objectives, Including CDM2015, UKWAS and ISO14001., • Demonstrate exemplar project management principles, including financial, programme, scope, risk and contract management for infrastructure and new roads projects., • Maintain project documentation and organise programme meetings., • Undertake your duties in line with delegated authority and NRW policies and procedures., • Prepare, track and manage project programmes, provide accurate forecasting of project milestones. Understand and manage programme delivery risks., • Write and maintain register for projects and act to manage financial, commercial, legal, operational and reputational risks. Inform senior staff in good time to help resolve matters., • Is able to include specialist knowledge and advice (either via themselves or competent contractors) into the pre-construction information so that any engineering works can incorporate these details into the design and construction., • Manage project communications to effectively engage and influence Local Planning Authorities, SuDs Advisory Boards and other external stakeholders to facilitate project delivery to quality, time and budget., • Build strong relationships with colleagues to achieve solutions that deliver projects., • Identify and share lessons learned and best practice., • Undertake health and safety duties and responsibilities appropriate to the post, • Be committed to Natural Resources Wales Equal Opportunities and Diversity Policy , together with an understanding of how it operates within the responsibilities of the post, • Be committed to your own development through the effective use of your personal development plan (known as Sgwrs)., • Any other reasonable duties requested commensurate with the grade of this role. Your qualifications, experience, knowledge and skills In your application and interview you will be asked to demonstrate the following skills and experience using the STAR method. • Educated to a minimum of degree level in an engineering or related technical subject, or equivalent demonstratable experience., • Post holders should have significant experience of programme & or multi-project management and have or be working towards professional accreditation (E.g., Prince 2)., • Awareness of Environmental habitats and wildlife, and legislation which informs decision making in relevant, • Extensive knowledge, understanding and application of CDM2015 and other Health, Safety & Environmental risk management., • Extensive knowledge of drainage and water management in upland environments, complying with Forest and Water Guidelines and the European Water Framework Directive., • Experience of working with water-bound macadam road construction, ground & earthworks engineering in an upland/rural environment., • Surveying and Setting out road alignments., • Strong ICT skills in AutoCAD, ArcGIS and Microsoft Office software, including MS Project., • UK full driving licence., • Member of professional body e.g., such as the Institution of Civil Engineers (ICE) or the Institution of Agricultural Engineers (IAgrE). Welsh Language level requirements Essential: Level A1 - Entry level Welsh language levels Please note if you do not meet the A1 requirement i.e., ability to understand basic phrases and ability to pronounce Welsh names correctly, then NRW offers a variety of learning options and staff support to help you meet these minimal requirements during the course of your employment with us. Additional Information Successful applicants will be subject to a satisfactory Disclosure and Barring Service Check (DBS) check. Appointments are normally made within 4 to 8 weeks of the closing date. Natural Resources Wales is unable to offer visa sponsorship for this position. Although we hold a Skilled Worker visa sponsorship licence, it applies only to specific roles that meet both the eligibility criteria and salary requirements set out by the UK Government under the Skilled Worker visa route. Benefits This role will offer a range of benefits, including: Civil Service Pension Scheme offering employer contributions of 28.97% (successful internal staff will remain in their current pension scheme) 28 days annual leave, rising to 33 days generous leave entitlements for all your life needs commitment to professional development health and wellbeing benefits and support weekly wellbeing hour to use as you choose See full details for all the employee benefits you will receive. Please keep reading We're passionate about creating a diverse workforce and positively encourage applications from under-represented communities. We embrace equality of opportunity irrespective of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation. We are committed to equal opportunities, and we guarantee interviews for candidates with disabilities who meet the minimum selection criteria. We want to attract and retain talented and highly skilled staff, so we make sure that our pay scales remain competitive. We advertise the full pay scale on our job descriptions. Appointed candidates start at the first point of the pay scale and annual increments are paid each year. We want our staff to grow professionally and personally. From leadership development to access to further and higher education courses, our staff have opportunities to expand their knowledge on variety of topics, stay current in their field and continue to learn as their career progresses. We are a Bilingual organisation which complies with the Welsh Language Standards. Welsh language skills are considered an asset to NRW, and we encourage and support staff to learn, develop and use their Welsh language skills. You are welcome to apply for any vacancy in Welsh or English, and any application submitted will be treated equally. Applications are welcome from individuals who want to work full-time, part-time, or job share. Please note that we reserve the right to close this vacancy before the advertised closing date if we receive a high volume of applications. We encourage candidates to submit their application as early as possible and not wait until the closing date to apply. #GGL, ENV, GRJ, TTJ JBRP1_UKTJ

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