At a Glance
- Tasks: Design and build data pipelines for AI agents, ensuring data quality and governance.
- Company: Join Magentic, a cutting-edge tech company backed by top investors like Sequoia Capital.
- Benefits: Competitive salary, equity options, enhanced parental leave, and 25 days holiday.
- Other info: Collaborate with experts from OpenAI, Meta, and NASA in a hybrid work setting.
- Why this job: Shape the future of procurement with innovative data solutions in a dynamic environment.
- Qualifications: Experience in data management, DataOps, and developing data warehouses/lakehouses.
The predicted salary is between 125000 - 140000 £ per year.
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.
Data Platform Engineer in London employer: Empleora
Magentic is an exceptional employer for a Data Platform Engineer, offering a dynamic work culture that fosters innovation and collaboration. With competitive equity and a generous salary package, employees enjoy enhanced parental leave, 25 days of holiday, and in-office lunches, all while working in a hybrid model from our London HQ. The opportunity to shape the architecture for next-generation AI systems and collaborate with a talented team from leading tech companies makes Magentic a truly rewarding place to grow your career.
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We think this is how you could land Data Platform Engineer in London
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We think you need these skills to ace Data Platform Engineer in London
Some tips for your application 🫡
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