1 month ago
Leeds, United KingdomEntry Level
Responsibilities
- Build and operate cloud data and platform solutions across modern cloud and data platforms.
- Develop and maintain scalable batch and streaming data pipelines using ETL/ELT patterns.
- Build and support cloud infrastructure with Terraform, Bicep, or CloudFormation.
- Implement CI/CD pipelines using Git, Azure DevOps, or GitHub Actions.
- Apply dimensional and Kimball modelling, medallion architecture, and source-to-target mapping.
- Implement data quality, lineage, observability, and monitoring capabilities.
- Support cloud platform operations involving networking, identity and access management, security fundamentals, and policy adherence.
- Use GenAI and AI-assisted development tools to accelerate engineering, testing, and documentation.
- Develop understanding of agentic AI systems and how they interact with data and platform infrastructure.
- Collaborate with architects, product engineers, and business stakeholders on technical and business requirements.
Requirements
- Experience with cloud engineering across Azure, AWS, GCP, Databricks, Microsoft Fabric, or Snowflake.
- Proficiency in Python and SQL with strong engineering fundamentals.
- Experience developing batch or streaming pipelines, cloud infrastructure, platform engineering, or a combination of these areas.
- Experience with CI/CD tooling for data and platform delivery, including Git, Azure DevOps, or GitHub Actions.
- Practical experience using GenAI or AI-assisted development tools such as GitHub Copilot, Cursor, or Databricks Assistant.
- Familiarity with AI-ready architecture concepts, including data quality, latency, schema, security, and lineage considerations.
- Basic understanding of agentic AI concepts and autonomous systems’ dependence on data and platform infrastructure.
- Preferred experience with data modelling, agentic or LLM-based application pipelines, data product principles, Decision Intelligence Platforms, infrastructure as code, cloud networking, identity and access management, security engineering, policy as code, or platform governance.
- Relevant cloud, data platform, AI, or ML certifications are advantageous.
Benefits
- Competitive basic salary and extensive benefits package.
- 25 days’ vacation per year.
- Private medical insurance.
- Three additional days of leave per year for charitable work.
- Flexibility and mobility are required, including time onsite with clients and partners.
- Leeds-based role with a stated application closing date of 18/12/2026.
Categories
Data EngineeringDevOps
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.