Data Platform Engineer

Magentic; Greater London; On-site; GBP 125,000 - 140,000; Full time

Benefits offered by this job

Competitive Equity

In-office lunches provided

Salary sacrifice pension and nursery

Hybrid London HQ (WFH Thurs & every 2n

25 days holiday + extras

Job summary

Magentic is seeking a Data Platform Engineer to own the data foundation powering AI agents for global procurement workflows. You’ll design and operate ingestion pipelines, define schemas and catalogues, and enforce data quality and lineage standards for enterprise use. Work with AI, Platform and Product teams to deliver data at scale.

The role focuses on building end-to-end data solutions at pace in a hybrid London HQ setup, with strong emphasis on data quality, governance and secure practices.

Qualifications

• Experience at tech/product-driven companies with a strong focus on data quality and governance.
• Proven ability to scale data platforms and manage large data stacks.
• Comfort designing and implementing end-to-end data pipelines and schemas.

Responsibilities

• Design, implement and operate ingestion pipelines processing high-volume data from global supply chain systems.
• Define, evolve, and manage data schemas and catalogues from raw stages to analytics-ready stores.
• Build end-to-end monitoring and observability for pipelines, ensuring data quality, latency, completeness and lineage.
• Champion secure, governed data practices across teams.
• Collaborate with AI, Platform and Product teams provisioning data sets and feature tables at scale.

Skills

Data quality

DataOps

Data management

Data warehouses

CI/CD

Stakeholder comms

Job description

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 equal-opportunity employer. As we grow, we're intentional about building teams with a broad range of backgrounds, experiences and viewpoints, recognising that this leads to better ideas, stronger collaboration and better outcomes for our customers therefore we strongly encourage applications from all backgrounds and cultures to apply.

We recognise that some groups remain underrepresented within the industry and are committed to creating an environment that celebrates and supports everyone.

Everyone works differently, and we want to ensure our interview process gives you the best chance to show us what you can do. If you require any reasonable adjustments or accommodations, please let us know and we'll work with you to make the process accessible.

Responsible AI Statement
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.