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Robert Walters

Data Modeller

CompanyRobert Walters
LocationManchester, England, United Kingdom
Posted At3/10/2026

UK Visa Sponsorship Analytics

Occupation Type
Other skilled trades not elsewhere classified.
Occupation Code Skill LevelMedium Skilled
Sponsorship EligibilityIneligible for Sponsorship

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 Robert Walters. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

Data Modeller

Location: Manchester

Contract: Consultant

Work Setup: Hybrid - 2 days onsite (moving to 3 days in September)


Who We Are

We are a consultancy operating within Robert Walters, the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds.


The Role

We have an exciting new opportunity for a Data Modeller to join Robert Walters as a Consultant.

As a consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our clients' organisations, in return we will provide you with the opportunity to develop your skills with ongoing training and professional support.

This role offers an exciting opportunity to join a global business, providing top-tier service to our blue chip clients.


What you'll do

  • Design, build and maintain scalable data pipelines and models in Databricks using Python to deliver reliable datasets for reporting and key business metrics.
  • Develop efficient, well-structured code while adhering to technical standards, reconciliation checks, and version control practices using Git and DevOps tools.
  • Partner with visualisation analysts to ensure data models are structured effectively for dashboards, reporting and insight generation.
  • Work within Agile delivery teams to scope work, contribute to sprint planning and deliver outputs within agreed timelines.
  • Engage with stakeholders to clarify requirements, provide progress updates and communicate technical concepts clearly to non-technical audiences.
  • Continuously develop knowledge of insurance data and emerging analytics technologies to improve data solutions and support business decision-making.

  • What you bring

    • Strong hands-on experience with Databricks, Python and Power BI, with the ability to contribute quickly in an established environment.
    • Background as a Data Modeller, Analytics Engineer, or Data Analyst with strong modelling experience.
    • Experience designing scalable data models and pipelines within cloud-based data platforms.
    • Proficiency with Git version control and development best practices.
  • Strong analytical mindset with the ability to interpret complex datasets and produce actionable insight.
  • Insurance or financial services experience preferred, with understanding of business reporting and operational data.

  • What's Next?

    If you are ready to take the next step, apply now. Successful applicants will be contacted directly by a recruiter to discuss the role more.


    We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at adjustments@robertwalters.com to discuss how we can support you.


    This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.