National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

GCP Data Engineer

Tenth Revolution Group
London
2 days ago
Create job alert

GCP Data Engineer - London - Hybrid

Overview:

An innovative and fast-growing firm in the insurance sector is seeking a Senior Data Engineer to join its expanding data and technology team. This is a fantastic opportunity to work with cutting-edge cloud technologies and play a key role in shaping enterprise data strategy.

Key Responsibilities:

Design, build, and maintain scalable data pipelines using GCP
Implement data governance, security, and compliance frameworks
Collaborate with analysts, data scientists, and stakeholders to deliver data solutions
Migrating from Azure to GCP
Automate data lifecycle processes and optimise cloud resource usage
Support analytics and self-service reporting initiativesSkills & Experience

Strong experience with GCP, BigQuery, Dataflow
Proficiency in Python and Terraform
Skilled in ETL/ELT, data modelling, and metadata management
Familiarity with CI/CD, DevOps, and Infrastructure-as-Code
Knowledge of insurance data and KPIs is advantageous but not essential

Benefits:

Competitive salary and benefits
Discretionary bonus
Hybrid working model (London-based)
Opportunity to work with advanced cloud and data technologies
Collaborative, delivery-focused culture
Career development in a high-growth environment

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Contact me

Related Jobs

View all jobs

GCP Data Engineer

GCP Data Engineer

GCP Data Engineer

GCP Data Engineer

Data Engineer

Senior Solutions Architect

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.