Data Analytics Engineer

AI-Enabled Data Analytics Engineer

We are currently seeking an experienced AI-Enabled Data Analytics Engineer to join a fast-growing team focused on delivering scalable analytics, automation, and AI-driven solutions that enhance business decision-making.

This is an exciting opportunity for a hands-on engineer with strong expertise in Databricks, Python, SQL, and PySpark, combined with practical experience using modern AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude Code, Cursor, and VS Code.

Key Responsibilities

• Design, develop, and optimise scalable data pipelines and analytics solutions within Databricks.
• Build robust data transformation, automation, and reporting solutions using Python, SQL, and PySpark.
• Leverage AI-assisted development tools to accelerate coding, testing, debugging, documentation, and code reviews.
• Develop and enhance AI agents, prompt libraries, reusable skills, and automation workflows.
• Create and maintain AI documentation, business rules, context files, and knowledge repositories.
• Apply prompt engineering and context engineering techniques to improve AI-generated outputs.
• Validate AI-generated code, analytics, and recommendations to ensure technical accuracy and business relevance.
• Collaborate with business stakeholders to gather requirements and translate them into scalable analytics and AI solutions.
• Champion data quality, governance, continuous improvement, and best practices.

Required Skills & Experience

• 3+ years of experience within Data Engineering, Analytics Engineering, or Data Analytics.
• Strong hands-on experience with:
  • Databricks
  • SQL
  • Python
  • PySpark
  • Delta Lake
• Experience designing ETL/ELT pipelines and data transformation frameworks.
• Strong understanding of data modelling, performance optimisation, and data quality practices.
• Experience using AI-assisted development tools including:
  • GitHub Copilot
  • ChatGPT
  • Claude Code
  • Cursor
  • VS Code
• Experience with Git and GitHub version control.
• Strong analytical and problem-solving capabilities.
• Excellent stakeholder management and communication skills.

Desirable Experience

• AI Agent development.
• Prompt Engineering.
• Context Engineering.
• Workflow Automation.
• Knowledge Management and Prompt Libraries.
• Business Process Automation using AI technologies.

What's on Offer?

• Opportunity to work at the intersection of Data Engineering, Analytics, and AI.
• Exposure to cutting-edge AI-assisted development practices.
• Challenging, business-critical projects with significant impact.
• Collaborative and innovative working environment.

GCS is acting as an Employment Business in relation to this vacancy.