Accenture UK & Ireland

About the Company

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organisations build their digital core, optimise 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 799,000 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 accenture.com.

Listed Jobs

Company Name

Accenture UK & Ireland

Job Title

Data Engineer with AI Experience

Job Description

Job Title: Data Engineer with AI Experience Role Summary Engineer and maintain scalable, automated ETL/ELT pipelines that integrate operational data with analytics and business intelligence systems. Design data models, manage data quality, and collaborate with cross‑functional teams in an Agile Scrum environment. Expectations - Deliver robust, repeatable data pipelines that support batch and streaming workloads. - Ensure high data quality, integrity, and documentation across all assets. - Maintain CI/CD pipelines, unit and integration tests, and adherence to software engineering best practices. - Operate under BPSS/SC security clearance with 5 years UK address history and single citizenship. Key Responsibilities - Design, implement, and orchestrate ETL pipelines using batch and streaming technologies. - Define, document, and iterate data mappings and models according to best practice. - Re‑engineer existing pipelines for scalability, robustness, and automation. - Explore, query, and analyze large‑scale datasets to support business decisions. - Build and maintain metadata, dependency, and workload management processes. - Identify, diagnose, and resolve data quality, mapping, and database issues. - Integrate operational systems with data warehouses, lakes, and BI tools. - Produce clean, maintainable code with comprehensive unit, feature, and integration tests. - Participate in agile ceremonies (sprint planning, daily stand‑ups, retrospectives). - Collaborate with stakeholders to refine requirements and triage technical issues. Required Skills - Proficiency in at least one programming language: Python, Java, or Scala. - Hands‑on experience with cloud platforms: AWS, GCP, or Azure. - Expertise in data warehousing and lakehouse architectures. - Proven ability to build ETL/ELT pipelines for batch and streaming workloads. - Strong SQL skills and experience with NoSQL databases. - Familiarity with distributed computing frameworks (e.g., Spark, Kinesis, Flink). - Solid understanding of software development practices: CI/CD, TDD, version control. - Knowledge of data modelling, system architecture, and metadata management. - Excellent analytical, troubleshooting, and problem‑solving abilities. - Experience collaborating with external partners or clients in consulting or project‑based settings. Required Education & Certifications - Bachelor’s degree (or equivalent) in Computer Science, Data Engineering, Information Technology, or related technical field. - Relevant cloud certifications are advantageous (e.g., AWS Certified Data Analytics, GCP Professional Data Engineer, Azure Data Engineer Associate). - Mandatory BPSS/SC security clearance with UK residency and single citizenship status.

England, United kingdom

Hybrid

Mid level

23-11-2025

Company Name

Accenture UK & Ireland

Job Title

AWS DevOps Engineer

Job Description

**Job Title** AWS DevOps Engineer **Role Summary** Consultant‑level DevOps Engineer responsible for designing, building, and maintaining CI/CD pipelines, automating infrastructure, and ensuring secure, compliant cloud environments. Works cross‑functionally with development and operations teams to deliver scalable, resilient applications on AWS and hybrid cloud platforms. **Expectations** - Deliver high‑quality automation solutions that accelerate deployment timelines. - Maintain strict security and compliance standards, achieving and sustaining required BPSS and SC clearances. - Demonstrate proactive monitoring, troubleshooting, and continuous improvement of cloud and DevOps processes. - Communicate effectively with stakeholders and adapt to changing project requirements. **Key Responsibilities** - Design, configure, and manage CI/CD pipelines using tools such as GitHub Actions, Jenkins, or DroneCI. - Provision and configure infrastructure as code with Terraform or similar, ensuring repeatable deployments. - Automate system configuration and application deployments across AWS, Azure, or GCP environments. - Implement containerization with Docker and orchestrate with Kubernetes/Helm. - Monitor application and infrastructure performance; investigate and resolve incidents. - Enforce security best practices, including IAM hardening, secret management, and vulnerability scanning. - Collaborate with developers to integrate build, test, and deployment steps into the release life cycle. - Maintain documentation for processes, configurations, and troubleshooting guides. **Required Skills** - CI/CD tooling: GitHub Actions, Jenkins, DroneCI. - IaC tools: Terraform, CloudFormation, or equivalent. - Cloud platforms: AWS (core services), Azure, GCP. - Containerization: Docker, Helm, Kubernetes. - Scripting: Python, Bash, PowerShell. - Networking, security, and system administration fundamentals. - Strong problem‑solving, communication, and teamwork abilities. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field. - Security clearance: BPSS and SC required; UK residency history of at least 5 years and single‑nationality British passport. - Relevant certifications preferred: AWS Certified DevOps Engineer – Professional, AWS Certified Solutions Architect, or equivalent.

London, United kingdom

On site

05-12-2025

Company Name

Accenture UK & Ireland

Job Title

Cloud & Infrastructure Engineer

Job Description

**Job Title**: Cloud & Infrastructure Engineer **Role Summary**: Design, implement, operate and govern hybrid and multi‑cloud infrastructure solutions at enterprise scale, focusing on automation, migration, and lifecycle management across on‑prem and public cloud environments. **Expectations**: - Architect end‑to‑end hybrid cloud strategies. - Deliver scalable, secure, and highly available infrastructure. - Collaborate across consulting, delivery, and technical teams to meet client goals. - Continuously update knowledge of cloud services, virtualization, and automation tools. **Key Responsibilities**: - Participate in architecture and design reviews for hybrid, multi‑cloud initiatives. - Configure, provision, and manage compute, storage, network, and database resources on AWS, Azure, and GCP. - Lead data center and cloud migrations, ensuring minimal downtime and compliance. - Develop and maintain IaC scripts (Terraform, Ansible) and configuration management templates. - Implement and manage container platforms (OpenShift, EKS, AKS, GKE). - Monitor, troubleshoot, and optimize infrastructure performance and cost. - Enforce governance, security, and compliance policies across environments. - Document designs, processes, and best‑practice guidelines. **Required Skills**: - Strong foundational knowledge of datacenter, networking, compute, and storage concepts. - Hands‑on experience with VMware, Hyper‑V, Nutanix, or similar virtualization platforms. - Proficiency in cloud services (AWS, Azure, GCP): deployment, security, monitoring, and cost management. - Automation expertise in Terraform, Ansible, or comparable IaC tools. - Experience with container orchestration (OpenShift, EKS, AKS, GKE). - Ability to analyze requirement, design architecture, and develop implementation plans. - Excellent communication and collaboration skills for cross‑functional teams. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). - Relevant cloud certifications preferred (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, Google Cloud Professional Cloud Architect). - Certifications in infrastructure automation or virtualization (e.g., VMware Certified Professional, Red Hat Certified Engineer) are a plus.

London, United kingdom

Hybrid

09-12-2025

Company Name

Accenture UK & Ireland

Job Title

Data Engineering Associate Director

Job Description

**Job Title:** Data Engineering Associate Director **Role Summary:** Lead and expand Accenture’s Data & AI practice, delivering large‑scale data engineering and AI solutions across multiple industries. Provide strategic and technical direction, manage complex programmes, and mentor multidisciplinary teams to design, build, and operationalize cloud‑native data platforms and AI services. **Expectations:** - Demonstrate senior‑level consulting expertise with C‑suite stakeholders. - Drive end‑to‑end delivery of enterprise data and AI programs on time and within budget. - Shape technology roadmaps, promote best practices, and foster a culture of continuous learning. **Key Responsibilities:** - Oversee development of use‑case and platform solutions using reference and emerging technologies (e.g., Databricks, Snowflake, Palantir). - Lead multi‑disciplinary teams from solution design through production and operationalisation. - Ensure data architectures, security, scalability, and high‑availability meet client requirements. - Mentor developers, define engineering patterns, and champion DevSecOps and operational excellence. - Contribute to Accenture’s Data & AI community through thought leadership and knowledge sharing. - Manage practice capability growth, including talent acquisition and skills development. **Required Skills:** - Extensive experience delivering complex data and AI programmes. - Deep knowledge of cloud data platforms (Databricks, Snowflake, Palantir) and major cloud services (AWS, Azure, Google Cloud). - Expertise in designing secure, scalable, and resilient cloud solutions (networking, storage, monitoring, DR/HA). - Strong software engineering background with DevSecOps practices. - Proven consulting track record with senior client interaction. - Leadership ability to influence cross‑functional teams and drive results. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (advanced degree preferred). - Relevant cloud certifications (e.g., AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, Google Cloud Professional Data Engineer). - Professional certifications in data engineering or AI (optional but advantageous).

London, United kingdom

Hybrid

18-12-2025