Senior Data Engineer (Python, GCP)

wilson brown United Kingdom
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design and develop robust data pipelines using Python and GCP. Build backend services and work across the stack. Collaborate with users and bring a strong Product mindset.

Key Highlights
Design and build data pipelines from scratch
Architect event-driven solutions in GCP with Pub/Sub & Cloud Run
Implement modern IaC practices for deployment and automation
Leverage AI and tooling to boost workflow efficiency and deliver innovative Product features
Technical Skills Required
Python GCP Pub/Sub SQL NoSQL Terraform GitHub Actions Observability tools AI tooling
Benefits & Perks
Up to £70,000 salary
Fully remote work (UK only)
Equity
Professional development opportunities
Autonomy and ambiguity in work

Job Description


Data Engineer | Fully Remote (UK)


Python | GCP | Data Pipelines


An innovative, mission-driven LegalTech SaaS start-up is looking for an experienced Data Engineer experience building Data Pipelines, Python coding skills and building backend services.


Data Engineer Details


  • Salary: Up to £70,000 (DOE) + Equity
  • Location: Fully remote (UK only)
  • Stack: Python, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling


Your focus will be on designing and developing robust data pipelines using Python and GCP. The ideal candidate will also have experience building backend services (API's / MicroServices) and work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who thrives on turning early-stage ideas into scalable, market-ready Products backed by solid Data pipelines.


Data Engineer Highlights


  • Design & build Data Pipelines from scratch. Whilst ability is more important than years of experience, we'd expect this engineer to have 3+ years experience asa Data / Backend Engineer.
  • Architect event-driven solutions in GCP with Pub/Sub & Cloud Run
  • Build and optimise Python code for high-performance backend systems
  • Implement modern IaC practices for deployment and automation
  • Leverage AI and tooling of your choice to boost workflow efficiency and deliver innovative Product features
  • Autonomy & Ambiguity - discover, design, and build without micromanagement.
  • Professional Development - dedicated time to explore new AI tools, Data engineering practices, and emerging tech to keep the Product ahead of the curve. They want engineers to be setup to stay on top in the new AI world.


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