Overview

Backed by global technology visionaries like Sequoia Capital, Magentic brings together world-class AI engineering (formers from OpenAI, Meta, and AWS) with procurement expertise (formers from McKinsey & Company and ABInBev).

Our mission is to make global manufacturing supply chains robust to an ever-changing world. We’re pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We’re focusing on the $3tn market of procurement.

As our first Data Engineer you will work closely with AI engineers, product teams, and domain experts to transform raw supply chain data into structured, reliable, and actionable insights that drive decision-making across our platform, while ensuring that we build a platform capable of serving hundreds of Fortune 500 companies simultaneously.

This is an opportunity to work on deeply technical challenges with real-world impact at scale - you’ll be creating the data foundation for autonomous agents to reason, plan, and act in complex, high-stakes environments.

In this role, you will

• Design and operate ingestion pipelines processing high-volume data from global supply chain and procurement systems.
• Define, evolve, and manage data schemas and catalogues—from raw staging to high-quality analytics and feature stores.
• Build end-to-end monitoring and observability for your pipelines: owning data quality, latency, completeness, and lineage at every stage.
• Champion secure, governed data practices
• Collaborate closely with AI, Platform, and Product teams, provisioning data sets, feature tables, and contracts for analytics and machine learning at scale.

This role may be a good fit for you if

• You have experience at tech and product-driven companies, with a big focus on data quality, DataOps and data management at scale
• You have experience developing data warehouses/lakehouses
• You have used a variety of tools across the data stack and can select and implement the right ones for our use case
• You are keen to both design and implement data solutions end-to-end
• You are comfortable managing your own CI/CD and Integrations

You’ll love working at Magentic if

• Enjoy communicating with both technical and non-technical stakeholders.
• Love architecting and building complex systems from scratch.
• Value in-person working with your colleagues
• Thrive in fast-paced, dynamic environments with high autonomy
• Work best with people who are smart, ambitious and kind

Compensation and Benefits

At Magentic, we recognise and reward the talent that drives our success. We offer:

• Competitive Equity: play a real part in Magentic’s upside.
• A salary of £110,000-£120,000
• Visa sponsorship available; (note we are only accepting candidates who are currently based in the UK.)
• Hybrid London HQ (3-4 days in the office)
• Annual team retreat—a fully-funded off-site to recharge, bond, and build.

Our interview Process

There are a quite a few components because it's really important that both we and you have all the information to make a great decision at this stage of our journey. We can move quickly through these stages, so let us know if you have any timelines we need to meet.

1. Initial screening call (15-30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about your how your experience aligns with the role.
2. Design interview with the CTO or Founding Engineer (45 mins): in this step, we present you with real problems Magentic encounters, and we ask you to design a solution in a whiteboarding exercise.
3. Culture interview with the Chief of Staff (45 mins): here we'll talk about how you like to work, how you'd like to develop your career, and how that could look at Magentic.
4. In-person interview (half-day, paid): for the final step, we invite you to come meet the team in-person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like.
5. CEO interview (30 mins): a chance for you to meet Robin, hear about his vision for the company

About Magentic

At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission.

We can’t wait to have you on board.

Magentic Equal Opportunities Statement

Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010.

We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs.

Magentic Accommodations for Applicants with Disabilities

Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.