AI-Enabled Data Analytics Engineer

Principle HR

Greater London

Hybrid

GBP 72,000 - 88,000

Full time

2 days ago
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Benefits offered by this job

33 days annual paid leave including; 2
35-hour working week
3% pension

Job summary

Principle HR in the United Kingdom is hiring an AI-Enabled Data Analytics Engineer to join a global technology organisation, building scalable data, analytics and AI-assisted automation solutions that improve business decision‑making.

This is a hands‑on engineering role for someone strong in Databricks, SQL and Python who is already using tools such as Claude Code, Cursor, GitHub Copilot or ChatGPT to accelerate development.

Qualifications

  • 3+ years' experience across Analytics Engineering, Data Engineering or Data Analytics.
  • Strong hands-on Databricks and SQL.
  • Advanced Python and PySpark skills.
  • Experience with ETL/ELT, data modelling and data pipelines.
  • Familiarity with AI-assisted development tools (Claude Code, Cursor, Copilot, ChatGPT).
  • Exposure to AI agents, prompt and context engineering.
  • Commitment to data quality and governance and stakeholder collaboration.

Responsibilities

  • Design, build and optimise data pipelines and analytics solutions using Databricks.
  • Develop SQL, Python and PySpark solutions for transformation and automation.
  • Build and improve AI agents, workflows, prompts and automation solutions.
  • Use AI development tools for coding, debugging, testing and documentation.
  • Validate AI-generated outputs before production use.
  • Maintain documentation, context files, knowledge sources and business rules.
  • Collaborate with stakeholders to translate requirements into scalable data and AI solutions.
  • Maintain high standards of data quality, governance and performance.

Skills

Databricks
SQL
Python
PySpark
AI-assisted development tools
Prompt engineering
Context engineering
Data governance
Data quality
Stakeholder communication

Tools

Claude Code
Cursor
GitHub Copilot
ChatGPT

Job description

  • 12-month contract
  • £80,000 per annum
  • Hybrid - 3 days per week in London

We are hiring an AI-Enabled Data Analytics Engineer to join a global technology organisation, building scalable data, analytics and AI-assisted automation solutions that improve business decision‑making.

This is a hands‑on engineering role for someone strong in Databricks, SQL and Python who is already using tools such as Claude Code, Cursor, GitHub Copilot or ChatGPT to accelerate development.

You won't just use AI-generated outputs- you'll be expected to validate, challenge and improve them, ensuring solutions are technically accurate, reliable and relevant to the business.

What you'll be doing
  • Design, build and optimise data pipelines and analytics solutions using Databricks
  • Develop SQL, Python and PySpark solutions for transformation, analytics and automation
  • Build and improve AI agents, reusable workflows, prompt templates and automation solutions
  • Use AI development tools for coding, debugging, testing, documentation and code review
  • Apply prompt engineering and context engineering to improve the reliability of AI-generated outputs
  • Validate AI-generated code, analysis and recommendations before production/business use
  • Build and maintain documentation, context files, knowledge sources and business rules governing AI behaviour
  • Partner with stakeholders to translate business requirements into scalable data and AI solutions
  • Maintain strong standards around data quality, governance and performance
What we're looking for
  • 3+ years' experience across Analytics Engineering, Data Engineering or Data Analytics
  • Strong hands‑on Databricks
  • Advanced SQL
  • Strong Python
  • Experience with ETL/ELT, data modelling and data pipelines
  • Practical experience using AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot or ChatGPT
  • Exposure to AI agents, prompt engineering or context engineering
  • Strong understanding of data quality and governance
  • Ability to independently review and validate AI-generated outputs
  • Strong stakeholder communication and problem-solving skills.
Contract Benefits
  • 33 days annual paid leave including bank holidays
  • 35-hour working week
  • 3% pension
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