1 day ago
Glasgow, United KingdomEntry Level
Responsibilities
- Build and operate cloud data and platform solutions across Azure, AWS, GCP, Databricks, Microsoft Fabric, and Snowflake.
- Develop and maintain scalable batch and streaming data pipelines using ETL/ELT patterns.
- Build and support cloud platform infrastructure using Terraform, Bicep, CloudFormation, or similar Infrastructure as Code tools.
- Implement CI/CD pipelines using Git, Azure DevOps, or GitHub Actions, including automated testing and documentation.
- Apply dimensional, Kimball, medallion, and source-to-target data modelling principles.
- Implement data quality, lineage, observability, and monitoring capabilities.
- Support cloud platform operations including networking, identity and access management, security fundamentals, and policy adherence.
- Use GenAI and AI-assisted development tools to accelerate engineering delivery and validate generated outputs.
- Develop understanding of agentic AI systems and how they interact with data and platform infrastructure.
- Collaborate with architects, product engineers, and business stakeholders to deliver technical and business solutions.
Requirements
- Experience with cloud engineering across Azure, AWS, GCP, Databricks, Microsoft Fabric, or Snowflake.
- Python and SQL experience 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 such as Git, Azure DevOps, or GitHub Actions.
- Practical experience using GenAI or AI-assisted development tools such as GitHub Copilot, Cursor, or Databricks Assistant.
- Basic understanding of AI-ready architecture and how data quality, latency, schema, security, and lineage affect downstream AI and ML systems.
- Basic understanding of agentic AI concepts and the relationship between autonomous systems and data and platform infrastructure.
- Preferred experience includes data modelling, pipelines supporting agentic workflows or LLM applications, data products, decision-intelligence platforms such as Palantir or Quantexa, Infrastructure as Code, cloud networking, identity and access management, security engineering, policy-as-code, and platform governance.
- Relevant cloud, data platform, AI, or ML certifications are advantageous.
Benefits
- Competitive basic salary and extensive benefits package.
- 25 days of vacation per year.
- Private medical insurance.
- Three additional days of leave per year for charitable work.
- Glasgow-based role requiring flexibility, mobility, and time onsite with clients and partners.
- Applications close on 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.