Data & AI Engineer

Accenture PLC; Glasgow; Presencial; GBP 60.000 - 90.000; Jornada completa

Descripción de la vacante

Accenture PLC in Glasgow is hiring a Data & AI Engineer to join our team and contribute to cloud data platform initiatives. You’ll work across Azure, AWS, GCP and other modern platforms, building data pipelines and AI-enabled solutions that scale with client needs.

You will apply GenAI tooling to design, build, test and document data and platform solutions, while collaborating with architects, product engineers and business stakeholders to deliver high-impact outcomes.

Responsabilidades

• Building and operating cloud data and platform solutions across modern cloud and data platforms (Azure, AWS, GCP, Databricks, Microsoft Fabric, Snowflake)
• Developing and maintaining scalable batch and streaming data pipelines with ETL/ELT patterns
• Building and supporting cloud platform infrastructure using IaC tools (Terraform, Bicep, CloudFormation)
• Implementing CI/CD pipelines for data and platform solutions using Git, Azure DevOps or GitHub Actions
• Applying data modelling principles (dimensional/Kimball, medallion architecture) using AI tooling
• Implementing data quality, lineage, observability and monitoring for scalable pipelines and platforms
• Supporting cloud platform operations including networking, IAM, security and policy adherence
• Using GenAI and AI-assisted tools to accelerate engineering delivery and validate outputs
• Developing understanding of agentic concepts to design solutions fit for agentic consumption
• Collaborating with architects, product engineers and stakeholders to meet technical and business needs

Descripción del empleo

Data & AI Engineer Location: Glasgow Salary: Competitive Salary + Package (dependent on experience) Career level: Accenture will hire at Specialist/Consultant level 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

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