Data Platform Engineer

Magentic
London
Workplace: HybridFull timeGBP 125,000 - 140,000 annuallyFunction: DevOps, Cloud & InfrastructureSkills: ["Data quality","Data governance","Data management","Communication","Stakeholder management"]

Own the data foundation that powers procurement AI agents. Build and operate high-volume ingestion pipelines from ERP, contracts, spreadsheets, PDFs, and email; design schemas, catalogues, and feature stores; and implement monitoring for data quality, latency, completeness, and lineage. Champion secure, governed data practices and partner with AI, Platform, and Product teams to deliver trusted datasets at scale for analytics and machine learning across enterprise customers.

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FursaFursa
Magentic
Magentic
18 hours ago

Data Platform Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own the data foundation that powers procurement AI agents. Build and operate high-volume ingestion pipelines from ERP, contracts, spreadsheets, PDFs, and email; design schemas, catalogues, and feature stores; and implement monitoring for data quality, latency, completeness, and lineage. Champion secure, governed data practices and partner with AI, Platform, and Product teams to deliver trusted datasets at scale for analytics and machine learning across enterprise customers.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •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 through high-quality analytics and feature stores.
  • •Build end-to-end monitoring and observability for pipeline quality, latency, completeness, and lineage.
  • •Champion secure, governed data practices.
  • •Collaborate with AI, Platform, and Product teams to provision datasets, feature tables, and contracts for analytics and machine learning at scale.

Pay and Benefits

Salary: GBP 125,000 - 140,000 annually
Equity and Bonus:Equity
Perks:EquityParental LeaveHolidayPensionNursery SchemesMeal Allowance

Key Requirements

  • •Experience building data ingestion pipelines and managing data quality, data governance, and DataOps at scale.
  • •Experience with data warehouses/lakehouses and developing end-to-end data solutions.
  • •Ability to select and implement appropriate tools across the data stack for your use case.
  • •Comfort owning CI/CD and integrations for your pipelines and systems.
  • •Strong communication with both technical and non-technical stakeholders.
Skills:Data qualityData governanceData managementCommunicationStakeholder management
Tech Stack:CI/CDIntegrationsData warehousesData lakehousesData cataloguesFeature stores

Company Brief

Magentic
Builds an enterprise AI agent platform (‘Mages’) that discovers and delivers cost savings across global manufacturing supply chains by automating procurement, contracts, and supplier workflows.
Industry: Procurement Platforms
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: London, United Kingdom
Founded: 2024
WebsiteLinkedIn