Data Engineer: Cloud Pipelines, GCP & Kubernetes (Hybrid)

iProov; Greater London; Hybrid; GBP 50,000 - 65,000; Full time

Job summary

A leading biometric technology provider based in London seeks a Data Engineer to build reliable data pipelines in a hybrid work setting. The successful candidate will enjoy a competitive salary of £50,000 - £65,000 per year, alongside performance bonuses and share options. This role involves advancing data capabilities and collaborating with diverse teams to deliver high-quality insights. Ideal candidates are proficient in Python, GCP, and container technologies, and have a commitment to clean coding and system resilience.

Benefits

25 days Annual Leave

Flexible hybrid working environment

Growth shares allocation

Life Assurance

Access to private GP and mental health services

Free coffee and snacks

Qualifications

• Proven experience in writing clean, modular Python code.
• Hands-on experience with GCP data services and containerized applications.
• Strong debugging skills and sensitivity to long-term platform health.

Responsibilities

• Advance data warehousing and reporting capabilities.
• Ensure platform uptime and improve pipeline resilience.
• Act as a technical liaison to translate requirements into GCP solutions.

Skills

Python

Google Cloud Platform

Kubernetes

SQL databases

NoSQL databases

Tools

Airflow

Docker

Job description

A leading biometric technology provider based in London seeks a Data Engineer to build reliable data pipelines in a hybrid work setting. The successful candidate will enjoy a competitive salary of £50,000 - £65,000 per year, alongside performance bonuses and share options. This role involves advancing data capabilities and collaborating with diverse teams to deliver high-quality insights. Ideal candidates are proficient in Python, GCP, and container technologies, and have a commitment to clean coding and system resilience.