Analytics & AI Data Engineer
UK Visa Sponsorship Analytics
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Brown & Brown UK. For the most up-to-date job details, please visit the official website by clicking "Apply Now."
Analytics & AI Data Engineer
Location: Hybrid - London
Package: Negotiable + Benefits
The day to day:
As a Analytics & AI Data Engineer within the Data Team, you will sit at the intersection of data engineering and analytics—designing robust, scalable data foundations while generating insights that support operational and strategic decision‑making. The role provides end‑to‑end ownership of data workflows, including ingestion, transformation, modelling, analysis, and testing. You will also play a key role in advancing our AI‑enabled data capabilities, including unstructured data handling, vector search, LLM‑ready architectures, and AI‑assisted engineering practices.
Core Purpose
To build and maintain scalable data pipelines and platforms, and to analyse and interpret data to generate insights, reports, and recommendations that deliver business value.
The day to day:
Data Engineering:
- Design, build, and maintain ETL/ELT pipelines for ingesting, transforming, and storing data from multiple sources.
Analytics & Insight
- Collect, clean, and analyse structured and unstructured data to identify trends and actionable insights.
- Develop dashboards and reports using BI tools such as Power BI or Tableau.
- Communicate findings clearly to both technical and non‑technical audiences.
- Prepare datasets for AI/ML use cases, including feature engineering, dataset shaping, and data labelling.
AI & Advanced Data Capabilities
- Design and enhance pipelines supporting unstructured data, vector embeddings, and semantic search.
- Contribute to data architectures that enable LLM integrations, AI agents, and cloud‑native AI workloads.
- Apply AI‑assisted engineering practices, such as code generation, documentation automation, and quality checks.
- Use AI‑enabled analytical tooling to accelerate pattern discovery, validation, and problem investigation.
Collaboration & Delivery:
- Work closely with Data Operations and Data Services Leads to balance priorities and resource allocation.
- Partner with Technical Leads to ensure solutions align with established technical guardrails and best practices.
- Engage with business stakeholders to understand requirements and translate them into deliverable solutions.
- Collaborate with Data Scientists and AI Engineers on model deployment, vector database integration, and monitoring.
Continuous Improvement:
- Champion a culture of learning, innovation, and process optimisation.
- Proactively introduce new tools, automation opportunities, and analytical approaches.
- Explore emerging frameworks and implement practical improvements.
- Governance & Compliance:
- Ensure all data activities comply with governance, privacy, and security standards.
- Contribute to data management initiatives, documentation, and best practices.
About you:
- Degree in a STEM subject or equivalent experience.
The rewards:
- A negotiable basic salary and all the normal benefits you’d expect (Holiday, company pension etc.)
We are an Equal Opportunity Employer. We take pride in the diversity of our team and seek diversity in our applicants.