Overview
In this Data & AI Engineer role, you contribute to building cloud data and AI-ready platforms for enterprise clients. You will work across the Data & AI practice, applying AI-assisted approaches to design, build and test data pipelines and platform foundations. The role emphasizes collaboration with architects, engineers and stakeholders to deliver scalable data solutions and enable agentic AI consumption. You will learn and grow in a culture that values innovation, inclusion and boundaryless opportunities. This position offers hands-on work with leading cloud and AI tooling in a global network.
Pay / Benefits
- competitive salary
- private medical insurance
- 25 days vacation
- 3 extra days for charitable work
- flexibility and mobility to work onsite with clients
Responsibilities
- Build and operate cloud data and platform solutions on Azure, AWS, GCP, Databricks, Microsoft Fabric, Snowflake
- Develop and maintain scalable batch and streaming data pipelines using ETL/ELT patterns
- Create and manage cloud infrastructure with IaC (Terraform, Bicep, CloudFormation)
- Implement CI/CD pipelines for data/platform delivery using Git, Azure DevOps, GitHub Actions
- Apply data modelling (dimensional/Kimball, medallion architecture) with AI tooling for model iteration
- Establish data quality, lineage, observability and monitoring with automation and AI-assisted tooling
- Support cloud platform operations including networking, IAM, security and policy adherence
- Leverage GenAI and AI-assisted tools to accelerate development, testing and documentation
- Develop understanding of agentic AI concepts to inform design of data and platform solutions
- Collaborate with architects, product engineers and business stakeholders to align technical solutions with business needs
Key requirements
- Cloud engineering experience across one or more: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake
- Python and SQL
- Experience with batch and/or streaming pipelines or cloud infra/platform engineering
- CI/CD tooling for data/platform delivery (Git, Azure DevOps, GitHub Actions)
- Practical use of GenAI/AI-assisted development tools in daily work
- Familiarity with AI-ready architecture concepts (quality, latency, security, lineage)
- Basic understanding of agentic AI concepts and interactions between autonomous systems and data/platforms
- Curious and driven technologists
- Collaborative and cross-functional teamwork
- Ability to learn quickly and apply new tools
- Azure, AWS, GCP, Databricks, Microsoft Fabric, Snowflake
- Python
- SQL
Data & AI Engineer in Leeds employer: Accenture
Accenture is an excellent employer for those looking to thrive in a dynamic environment, particularly in the role of Operations Engineer. With a strong focus on employee growth and development, you will have the opportunity to collaborate with senior colleagues while enjoying flexible work arrangements that promote a healthy work-life balance. The company's commitment to continuous improvement and innovation makes it a rewarding place to build your career.
