At a Glance
- Tasks: Build and manage data pipelines for global supply chains using cutting-edge technology.
- Company: Join Magentic, a dynamic tech company backed by industry leaders.
- Benefits: Competitive salary, equity options, hybrid work, and annual retreats.
- Other info: Visa sponsorship available; great opportunity for career growth.
- Why this job: Shape the future of data tech and make a real impact in procurement.
- Qualifications: Experience in data management, lakehouses, and CI/CD integrations.
The predicted salary is between 110000 - 120000 £ per year.
Hiring Data Platform Engineer in the UK with visa sponsorship options. Join a dynamic team shaping the future of data tech.
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Supported by global technology visionaries such as Sequoia Capital, Magentic combines procurement experience (from former McKinsey & Company and ABInBev) with top-tier AI engineering (from OpenAI, Meta, and AWS).
Our goal is to create global supply chains for manufacturing that are resilient to a world that is always changing. With next-generation agentic systems that can oversee whole workflows, we’re pushing the limits of artificial intelligence. We are concentrating on the $3 trillion procurement sector.
To ensure that we create a platform that can serve hundreds of Fortune 500 companies at once, as our first Data Engineer, you will collaborate closely with AI engineers, product teams, and domain experts to convert unstructured supply chain data into dependable, actionable insights that inform decision-making across our platform.
You will be building the data foundation for autonomous agents to think, plan, and act in intricate, high-stakes situations. This is an opportunity to work on extremely technical problems with practical implications at scale.
In this position, you’ll:- Create and manage ingestion pipelines that handle large amounts of data from international procurement and supply chain platforms.
- Define, develop, and oversee data schemas and catalogues, from feature stores and raw staging to superior analytics.
- Create observability and end-to-end monitoring for your pipelines, taking ownership of data completeness, latency, quality, and lineage at every turn.
- Encourage safe, controlled data practices
- Work collaboratively with the Platform, Product, and AI teams to provision feature tables, data sets, and contracts for large-scale analytics and machine learning.
- You have worked with tech and product-driven businesses, where you were heavily involved in data quality, data operations, and large-scale data management.
- You’ve developed lakehouses and data warehouses before.
- You can choose and apply the best tools for our use case because you have experience with a range of data stack tools.
- You have a strong desire to create and execute data solutions. from beginning to end
- You feel at ease overseeing your own integrations and CI/CD.
The talent that propels our success is acknowledged and rewarded at Magentic. We provide:
- Competitive equity is a significant factor in Magentic’s success.
- A £110,000–£120,000 salary
- Sponsorship for visas is available; please take note that we are only considering applicants who are presently residing in the UK.
- London hybrid headquarters (3–4 days in the workplace)
- A fully-funded off-site to rejuvenate, strengthen bonds, and foster teamwork is the annual company retreat.
Disclaimer
Important Notice: Please be advised that under no circumstances should you pay for a job opportunity or sponsorship. Please note that it is illegal in the UK.
Scam Warning: Please take note that the employees at Destinydot.com will never get in touch with you or ask you to do so in order to deal, help, or make a payment. A scammer is anyone who claims to be representing us in this way.
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#J-18808-LjbffrData Platform Engineer – UK Visa Sponsorship Available in London employer: Destinydot
Magentic is an exceptional employer that values innovation and collaboration, offering a competitive salary of £110,000–£120,000 along with visa sponsorship for those residing in the UK. Our dynamic work culture fosters teamwork through annual retreats and provides ample opportunities for professional growth as you tackle complex data challenges alongside top-tier AI engineers and product teams in our London hybrid headquarters.
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