Senior Full Stack AI Consultant

Job Summary

Role: EY-Consulting - Data and Analytics - Full Stack Engineer-Senior

Experience Guide: 3-7 years

Primary Skill Area: Backend, Frontend, Data Engineering, DevOps, Cloud and Observability

We are seeking a skilled Full Stack Engineer with strong hands-on experience across backend engineering, REST API development, SQL, data modelling, ETL/ELT methodology, data warehouse concepts, DevOps practices and modern CI/CD ways of working. The role requires the ability to build scalable applications, integrate APIs, work with data platforms, and collaborate across engineering, product, cloud and operations teams.

What we look for

We look for professionals who combine strong hands-on delivery, architecture awareness, stakeholder collaboration, production ownership and a continuous learning mindset.

Skills and competencies

• Backend development using at least one of Python, .NET Core, Java, or Node.js
• Object Oriented Principles
• REST API development
• SQL
• Data Modelling
• ETL/ELT Methodology
• Data warehouse concepts
• Git and branching strategies
• CI/CD
• Azure DevOps or GitHub Action

To qualify for the role, you must have

• 3+ years of experience in full stack application development, backend engineering, data engineering or platform engineering.
• Hands-on experience with at least one backend language: Python, .NET Core, Java, or Node.js.
• Strong experience with SQL, data modelling, ETL/ELT methodology and data warehouse concepts.
• Experience with Git, CI/CD, Azure DevOps or GitHub Actions is mandatory.
• Exposure to frontend frameworks, cloud platforms, containerisation and observability tools is preferred.
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.

Ideally, you'll also have

• Python, .NET Core, Java, Node.js, REST API, Object Oriented Principles, SQL, Data Modelling, ETL, ELT, Data Warehouse, Git, CI/CD, Azure DevOps, GitHub Actions, Full Stack Engineering.