AI-Enabled Data Analytics Engineer

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Job Title: AI-Enabled Data Analytics Engineer

Location: Shoreditch (Hybrid - 3 days per week onsite)

Duration: 12-month contract initially

Max. Budget: £65 - 80k per annum + paid holidays + pension or £370 - 417 per day Inside IR35

The Opportunity:

• We are seeking an AI-Enabled Data Analytics Engineer to build scalable data, analytics, and AI-assisted automation solutions that improve business decision-making.
• The ideal candidate brings strong analytics engineering experience across Databricks, SQL, and Python, along with practical fluency using AI-assisted development tools such as Claude Code, Cursor, VS Code, GitHub Copilot, and ChatGPT.
• This role requires someone who can use AI to accelerate delivery while independently validating technical accuracy, data quality, and business relevance.

What you'll do:

• Design, build, and optimize data pipelines and analytics solutions using Databricks.
• Develop efficient SQL and Python solutions for data transformation, analysis, and automation.
• Use AI-assisted development tools, including Claude Code, Cursor, VS Code, GitHub Copilot, and ChatGPT, to accelerate development, debugging, documentation, testing, and code review while maintaining full accountability for the quality and correctness of the final output.
• Build and improve AI agents, reusable skills, prompt templates, and automation workflows that support repeatable analytics, documentation, testing, and business-process automation use cases.
• Own AI agent documentation, context files, Markdown-based knowledge sources, prompt libraries, and business rules that govern AI behavior and make outputs repeatable, auditable, and maintainable.
• Apply context engineering by curating source materials, instructions, examples, business rules, and validation criteria that improve the quality, consistency, and reliability of AI-generated outputs.
• Validate AI-generated code, analyses, and recommendations to ensure technical accuracy and business relevance.
• Partner with business stakeholders to translate requirements into scalable analytics and AI solutions.
• Ensure data quality, governance, and continuous improvement of analytics and AI capabilities

What you'll need to succeed:

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
• 3+ years of experience in Data Analytics, Analytics Engineering, or Data Engineering.
• Strong experience with Databricks, SQL, and Python.
• Hands-on experience using AI-assisted development tools such as Claude Code, Cursor, VS Code, GitHub Copilot, or ChatGPT to support coding, debugging, documentation, testing, or analysis workflows.
• Strong analytical thinking, communication, and problem-solving skills.
• Ability to review, validate, and improve AI-generated code, documentation, and analytical outputs before they are used in business or production contexts.

Technical Skills

• Programming: Python, SQL, PySpark
• Data Platforms: Databricks, Delta Lake
• Data Engineering: ETL/ELT, Data Modeling, Data Quality, Performance Optimization
• AI Development: Claude Code, Cursor, VS Code, GitHub Copilot, ChatGPT, agent workflows, prompt engineering, context engineering, validation patterns
• Development Tools: Git, GitHub

Core Competencies

• Critical thinking and sound engineering judgment.
• Ability to validate, challenge, and own AI-generated outputs.
• Strong understanding of business processes and stakeholder needs.
• Ability to translate ambiguous business needs into well-scoped analytics, automation, and AI-agent solutions.
• Ownership, accountability, and a continuous improvement mindset.
• Ability to identify opportunities to automate business processes using AI while ensuring governance, quality, and trust.
• This role is ideal for a hands-on engineer who can combine data engineering, analytics, software development, and responsible AI adoption to deliver reliable, scalable business solutions.

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.