Job Title: Data Engineer / Analytics Engineer
Division: Product / Engineering
Reporting to: Josh Corps, VP Engineering
Location: Hybrid - Dorset with flexible remote working; London office opening shortly.
Role level: Individual Contributor
Security Requirements: Eligibility for UK Security Clearance (SC) required. Candidates with existing SC or DV clearance are highly desirable.
Job Type: Full-Time
Salary: Not displayed in public adverts.
About Us
KARVE is building Karve OS, a Mission Management Suite for defence, national security and regulated environments. The platform combines mission planning, data integration, workflow orchestration, analytics and graph-based insight. The aim is to build a practical, secure and useful product rather than over-engineered architecture.
The Role
We are adding a Data Engineer / Analytics Engineer profile to reflect the data-engine side of Karve OS: ingestion, data quality, API-fed datasets, relational-to-graph mapping and dashboards for data health. This will be treated as a next hiring tranch.
Role Purpose and Context
The Data Engineer will help turn source data into trusted product data. The focus is practical ingestion, transformation, data quality, modelling and operational visibility rather than requiring deep expertise in every graph or AWS analytics service from day one.
Skill Requirements
The intention is to widen the recruitment pool without lowering the bar. Candidates should be strong across the must-have areas; the should-have and bonus areas are differentiators, not blockers.
What You Will Be Doing
• Build and maintain ingestion routes from source systems into Karve OS.
• Model data in PostgreSQL and support mapping into graph-aware structures where required.
• Create validation checks, data-health monitoring and operational dashboards.
• Work with product engineers to make data usable in workflows, APIs and user-facing features.
• Support enrichment, deduplication and provenance-aware data handling.
• Document datasets, assumptions, quality checks and transformation logic.
How We Work
• Pragmatic engineering over unnecessary complexity.
• Strong application delivery, with architecture that serves the product.
• Security, testing and observability considered from the start.
• Clear ownership, collaborative working and lightweight documentation.
• Candidates do not need every tool in the future-state stack; we value strong fundamentals and learning ability.
What Good Looks Like
• Priority datasets are ingested through repeatable paths.
• Data quality and freshness are visible to the team.
• Source-to-product mappings are documented and maintainable.
• Product engineers can build features on top of trusted, explainable data.
Application Process
To apply, submit a CV and a short note outlining your relevant experience and interest in Karve OS.
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