Glasgow Data & AI Engineer: Cloud Pipelines & GenAI

Accenture PLC

Glasgow

On-site

GBP 75,000 - 120,000

Full time

2 days ago
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Benefits offered by this job

25 days vacation
Private medical insurance
Charitable leave

Job summary

Accenture PLC is seeking a Data & AI Engineer in Glasgow to join our AI-enabled delivery practice. You will work across cloud data platforms, build scalable pipelines, and apply GenAI-assisted development to design, test and document data solutions.

The role focuses on collaboration with architects, product engineers and stakeholders to deliver data products and AI-ready platforms, while growing your expertise in modern cloud environments.

Qualifications

  • Experience with cloud data and AI platform engineering.
  • Strong Python/SQL engineering fundamentals.
  • Hands-on with data pipelines and cloud infra.

Responsibilities

  • Build and operate cloud data and platform solutions across Azure, AWS, GCP, Databricks, Fabric and Snowflake.
  • Develop and maintain batch/streaming data pipelines at scale.
  • Implement IaC for cloud infra using Terraform, Bicep or CloudFormation.
  • Create CI/CD pipelines for data/platform delivery with Git/Azure DevOps/GitHub Actions.
  • Apply data modelling and AI tooling to iteratively improve models and outputs.
  • Ensure data quality, lineage, observability and monitoring in pipelines.
  • Support cloud platform operations including security and IAM.
  • Leverage GenAI to accelerate engineering delivery and generate docs.

Skills

Azure
AWS
GCP
Databricks
Microsoft Fabric
Snowflake
Python
SQL
Data pipelines
CI/CD tooling
GenAI tooling
AI-ready architecture
Agentic AI

Tools

Git
Azure DevOps
GitHub Actions

Job description

Accenture PLC is seeking a Data & AI Engineer in Glasgow to join our AI-enabled delivery practice. You will work across cloud data platforms, build scalable pipelines, and apply GenAI-assisted development to design, test and document data solutions.

The role focuses on collaboration with architects, product engineers and stakeholders to deliver data products and AI-ready platforms, while growing your expertise in modern cloud environments.

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