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Founding Data Engineer

Data Engineer | AI startup, tier‑one VC backed | London (hybrid, 2-3 days) |

We're hiring for a fast-growing, VC-backed startup building AI-powered software for a safety‑critical sector. This is currently the most business‑critical technical hire on their roadmap, tied to a live enterprise deployment.

You’ll be:

  • Extracting data from legacy, semi‑on‑prem, non‑uniform systems where APIs are often limited or non‑existent, using non-standard ingestion routes rather than a clean API‑first approach
  • Building data models, pipelines, and last‑mile integrations/connectors across genuinely fragmented, real‑world infrastructure, not a clean greenfield stack
  • Owning the back‑end services those pipelines run on, including infrastructure as code
  • Handling ETL, schema mapping, and reconciliation across legacy and modern systems side by side
  • Working with zero‑copy and data virtualisation approaches where direct extraction isn't possible
  • Operating in short iterative cycles with high autonomy and no fixed playbook

Core skills:

  • Genuine experience getting data out of legacy or undocumented systems without relying on modern APIs, screen‑scraping, UI automation, batch exports, direct database access, whatever the environment demands
  • Production back‑end services experience (Node/TypeScript or Python), including infrastructure as code (Terraform or Pulumi)
  • Data modelling, legacy systems, backend‑to‑warehouse flows
  • ETL, schema mapping, and reconciliation across old and new systems
  • Solid AWS/cloud, end‑to‑end across the stack: VPC, ECS, Lambda, S3, KMS
  • Security awareness: GuardDuty, SecurityHub or equivalent
  • Data warehousing (Redshift, Glue, Synapse or Snowflake) and orchestration (Airflow, dbt or Prefect)
  • Comfort with streaming/connectivity (Kafka, JDBC/ODBC) and data quality/schema tooling (Great Expectations, Pydantic, Avro/Protobuf)

Strong plus, not required:

  • Regulated data experience (law enforcement, health, legal, fintech, government)
  • Event or temporal data modelling
  • UI‑based legacy ingestion tooling specifically
  • Dual cloud and on‑prem deployment experience

What we’re looking for:

  • A blend of startup pace and larger‑company depth. Comfortable owning ambiguity, but able to handle complex, regulated environments

Compensation:

  • Early equity allocation, with a commitment to top up early joiners further
  • Discretionary bonus once revenue begins
  • Pension matching, private health and dental cover
  • Hybrid working, London preferred, flexibility for strong senior candidates elsewhere in the UK provided they’re well‑connected and open to occasional travel
  • Must‑have: Able to attain security clearance (UK national or 3+ years continuous UK residency), security clearance required, no visa sponsorship, no exceptions on this one.

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