Data & AI Engineer

As a Data & AI Engineer at Accenture, you join an AI-augmented delivery capability focused on cloud data platforms, pipelines and data products. You will work across Azure, AWS, GCP, Databricks, Fabric and Snowflake to design scalable data solutions and pipelines. You’ll apply GenAI tooling to streamline design, testing and documentation while delivering data foundations fit for agentic systems. The role offers cross-functional collaboration, learning, and global opportunities within a culture of innovation and inclusion.

• 25 days’ vacation
• private medical insurance
• 3 extra days’ leave for charitable work

• Build and operate cloud data and platform solutions across major cloud/data platforms
• Develop and maintain scalable batch and streaming data pipelines with ETL/ELT patterns
• Create and manage cloud infrastructure using IaC tools (Terraform, Bicep, CloudFormation)
• Implement CI/CD pipelines for data and platform solutions using Git, Azure DevOps or GitHub Actions
• Apply data modelling principles (dimensional/Kimball, medallion architecture) with AI tooling to draft models
• Implement 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 development tools to accelerate delivery and validate generated outputs
• Develop understanding of agentic concepts to inform design for autonomous/human-in-the-loop systems
• Collaborate with architects, product engineers and stakeholders to meet technical and business needs

• Cloud engineering experience across Azure, AWS, GCP, Databricks, Fabric or Snowflake
• Python and SQL with strong engineering fundamentals
• Experience with batch and/or streaming pipelines or cloud infrastructure and platform engineering
• CI/CD tooling for data/platform delivery (Git, Azure DevOps or GitHub Actions)
• Practical use of GenAI or AI-assisted development tools in day-to-day work
• Familiarity with AI-ready architecture concepts affecting quality, latency, security and lineage
• Basic understanding of agentic AI concepts and autonomous systems interactions with data and infrastructure

• curious
• driven
• collaborative
• Azure, AWS, GCP, Databricks, Microsoft Fabric, Snowflake
• Python, SQL
• Batch and/or streaming pipeline development; cloud infrastructure and platform engineering