1 month 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 cloud platform infrastructure with infrastructure-as-code tools and automate cloud environment provisioning.
- Implement CI/CD pipelines for data and platform solutions using Git, Azure DevOps, or GitHub Actions.
- Apply dimensional/Kimball modelling, medallion architecture, and source-to-target mapping.
- 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 write, test, document, and validate engineering outputs.
- Develop an 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.
- 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 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 the effects of quality, latency, schema, security, and lineage on downstream AI and ML systems.
- Basic understanding of agentic AI concepts and autonomous systems.
- Preferred experience includes 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, and platform governance.
- Relevant cloud, data platform, AI, or ML engineering 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.
- Training and access to a global network of experts.
- Glasgow-based role requiring flexibility and mobility, including time onsite with clients and partners.
- Application closing date is 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.