Data Architect, EMEIA Sales
UK Visa Sponsorship Analytics
Occupation TypeIT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900
(£28.15 per hour)
Occupation rate applies
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 Apple. For the most up-to-date job details, please visit the official website by clicking "Apply Now."
Description
Summary
Do you want to shape how Apple's EMEIA sales organisation makes critical business decisions?
The Sales Business Process Re-engineering (BPR) team is building a cutting-edge, AI-powered retrieval platform.
This system transforms Apple's vast structured sales data and unstructured knowledge into trustworthy, actionable insights for the people who run the business.
We are looking for a highly skilled Data Architect to help build the foundational data and AI platform that will empower our teams. This is a unique opportunity to create infrastructure that matters from day one.
Description
This is a hands-on, production-focused data engineering role at the intersection of software development and process optimisation. You will own features end-to-end and operate what you ship.
The platform you build will serve as the backbone for the AI assistants, copilots, and natural-language interfaces that EMEIA Sales will rely on over the next several years.
You will not be building prototypes; you will be maintaining and advancing critical infrastructure that drives real business value.
As a key collaborator, you will work closely with sales teams, data scientists, and other engineers, building trust through clear communication and impactful solutions.
You will build robust data pipelines to support evolving business needs.
A critical part of your role involves working with sales, finance, and operations teams across all levels of the organisation.
You must be comfortable onboarding non-technical users onto a technical platform by simplifying complexities and avoiding technical jargon.
Minimum Qualifications
Do you want to shape how Apple's EMEIA sales organisation makes critical business decisions?
The Sales Business Process Re-engineering (BPR) team is building a cutting-edge, AI-powered retrieval platform.
This system transforms Apple's vast structured sales data and unstructured knowledge into trustworthy, actionable insights for the people who run the business.
We are looking for a highly skilled Data Architect to help build the foundational data and AI platform that will empower our teams. This is a unique opportunity to create infrastructure that matters from day one.
Description
This is a hands-on, production-focused data engineering role at the intersection of software development and process optimisation. You will own features end-to-end and operate what you ship.
The platform you build will serve as the backbone for the AI assistants, copilots, and natural-language interfaces that EMEIA Sales will rely on over the next several years.
You will not be building prototypes; you will be maintaining and advancing critical infrastructure that drives real business value.
As a key collaborator, you will work closely with sales teams, data scientists, and other engineers, building trust through clear communication and impactful solutions.
You will build robust data pipelines to support evolving business needs.
A critical part of your role involves working with sales, finance, and operations teams across all levels of the organisation.
You must be comfortable onboarding non-technical users onto a technical platform by simplifying complexities and avoiding technical jargon.
Minimum Qualifications
- Proven hands-on experience in data engineering, applied machine learning, or a closely related field, with demonstrable work shipped to production.
- Strong proficiency in Python and SQL; comfortable working across the data stack from ingestion pipelines to model inference layers.
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Applied Mathematics, or a related technical field, or equivalent practical experience.
- Experience working with partner, reseller, or retail channel data is a significant advantage.
- Experience in a B2B commercial context is preferred.
w. Learn more
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Role Number: 200664442-2114
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Role Number: 200664442-2114