At a Glance
- Tasks: Build the data backbone for AI in public safety, connecting products and services.
- Company: Join a forward-thinking company dedicated to enhancing public safety through AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Embrace a fast-paced role with excellent career advancement opportunities.
- Why this job: Make a real difference by working on impactful projects in a dynamic environment.
- Qualifications: Experience in back-end services, data modelling, and cloud infrastructure is essential.
The predicted salary is between 72000 - 88000 £ per year.
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.
Full-Stack Data Engineer in London employer: Stealth AI Startup (Policing)
At our Stealth AI Startup, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects and drive meaningful change in the policing sector. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and a collaborative environment where your contributions directly impact the development of cutting-edge AI solutions. Join us to be part of a forward-thinking team dedicated to making a difference through technology.
Contact Details:
Stealth AI Startup (Policing) Recruitment Team
StudySmarter Expert Advice🤫
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We think you need these skills to ace Full-Stack Data Engineer in London
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