Full-Stack Data Engineer

Stealth AI Startup (Policing); Greater London; On-site; GBP 65,000 - 96,000; Full time

Job summary

Stealth AI Startup is building AI for public safety. We seek a full-stack data engineer to construct the data backbone that links our product, backend services and cloud infra to real customer data.

You will focus on data modelling, pipelines and last-mile integrations, owning end-to-end work in fast-paced, ambiguous legacy environments. You will work with Node/NestJS/TypeScript/Python, and a rich data stack on AWS including data warehouse options.

Qualifications

• Must-have — production experience building and operating back-end services with infrastructure-as-code.
• Data modelling across legacy systems and back-end-to-warehouse flows.
• ETL, schema mapping and reconciliation across legacy and modern systems.
• Solid AWS/cloud with the ability to deliver end-to-end.

Responsibilities

• Build the data backbone that connects our product, back-end services and cloud infrastructure to real customer data.
• Focus on data modelling, pipeline construction, and last-mile integrations and connectors.
• Own end-to-end data infra in ambiguity and messy legacy environments.

Skills

Data modelling

ETL

End-to-end delivery

Infrastructure as code

Legacy systems

AWS

Cloud concepts

Tools

Node

NestJS

TypeScript

Python

PostgreSQL

Redis/Valkey

Vector DBs

Redshift

Glue

Snowflake

Airflow

dbt

Prefect

Kafka

JDBC/ODBC

Pulumi

Terraform

Job description

We\'re building AI for public safety. It only works if the underlying data is connected, and that\'s the job.

Focus of the role:

We\'re looking for a full-stack data engineer to build the data backbone that connects our product, back-end services and cloud infrastructure to real customer data. You\'d be focused on data modelling, pipeline construction, and last-mile integrations and connectors. This suits someone who moves fast, owns work end to end, and is comfortable both in ambiguity and in messy legacy environments.

Qualifications:

Must-have — production experience building and operating back-end services with infrastructure-as-code; data modelling across legacy systems and back-end-to-warehouse flows; ETL, schema mapping and reconciliation across legacy and modern systems; solid AWS/cloud with the ability to deliver end-to-end. Bonus — regulated data (sensitive PII, audit trails, access control); joining data across multiple source systems; zero-copy/virtualisation-first patterns or data-platform-vendor experience (Snowflake, Databricks, Datadog); building ingestion for legacy or closed systems where clean APIs don\'t exist; dual cloud + on-prem deployment; CE/CE+ or security-conscious development in government/law-enforcement contexts.

Tech stack:

Node / NestJS / TypeScript / Drizzle / Python; PostgreSQL, Redis/Valkey, vector DBs; AWS (VPC, ECS, Lambda, S3, KMS, GuardDuty/SecurityHub); a warehouse (Redshift, Glue, Snowflake or similar); orchestration (Airflow, dbt or Prefect); streaming/connectivity (Kafka, JDBC/ODBC); Pulumi or Terraform.

If you\'re excited by this but not sure you tick every box, reach out anyway. We\'d rather hear from you than have you count yourself out.