Jobs / United Kingdom / Magentic

Magentic

Data Platform Engineer

London Posted today £125,000 - £140,000 per annum

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Skills this job asks for

ProcurementSupply chainMachine learningCI/CD

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Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Pay clears the visa salary barStated pay (£125,000 - £140,000 per annum) clears the UK Skilled Worker visa threshold of £41,700.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Pay clears the visa salary bar
Stated pay (£125,000 - £140,000 per annum) clears the UK Skilled Worker visa threshold of £41,700. Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.

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Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

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About the role

We're looking for a Data Platform Engineer to own the data foundation our AI agents run on. Procurement data is messy: ERP transactions, contracts, spreadsheets, PDFs and email, spread across systems that were never designed to talk to each other. You'll build the ingestion pipelines and schemas that turn that into something autonomous agents can reason over, and set the quality and lineage standards that make it trustworthy enough for a Fortune 500 to act on. We’ve built the early foundations but there’s still plenty to build - you’ll shape the architecture to serve hundreds of enterprise customers. We're building next-generation agentic systems that can manage entire procurement workflows, with a mission to make global manufacturing supply chains more resilient to an ever-changing world. That's a $3tn market opportunity. We're backed by world-class investors including Sequoia Capital, and you'll be joining a team bringing together experience from OpenAI, Meta, Revolut, NASA and McKinsey. What You’ll Do • Design, implement 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. You Might Be a Great Fit if You: • Have experience at tech and product-driven companies, with a big focus on data quality, DataOps and data management at scale • Have experience developing data warehouses/lakehouses • Have used a variety of tools across the data stack and can select and implement the right ones for our use case • Are keen to both design and implement data solutions end-to-end • Are comfortable managing your own CI/CD and Integrations • Enjoy communicating with both technical and non-technical stakeholders 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 £125,000 - £140,000 per annum • Enhanced parental leave • 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown • In-office lunches provided • Salary sacrifice pension and nursery schemes • Hybrid London HQ (WFH Thurs and every other Tues, with flex if you have appointments etc) • Annual team retreat —a fully-funded off-site to recharge, bond, and build Our Interview Process We can move quickly through these stages, so let us know if you have any timelines we need to meet. • Initial call (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 how your experience aligns with the role. • Paired programming interview (45 mins): we'll give you an exercise to demonstrate the key skills for the role. • In-person interview: 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. This will include a culture interview, a founder interview and skills-based interview(s) with the team. Equal Opportunities and Accommodations Statement At Magentic, our mission is to build AI that helps solve some of the world's most complex real world problems. We believe building a diverse workforce will be the key to solving this for our customers. Magentic is committed to creating a truly inclusive team and we’re proud to be an equa

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