Data Engineer (GCP) (London Area)

Anson McCade
London
2 days ago
Create job alert

Role:GCP Data Engineer

Location:London (Hybrid Flexibility)

Salary:Up to £80,000 + Bonus & Benefits


We are working with a global technology leader renowned for designing, building, and modernizing mission-critical systems that power some of the world's most vital operations. As part of their continued growth, they are seeking an experiencedGCP Data Engineerto join their collaborative, cross-functional team in London.


The Role – GCP Data Engineer

As aGCP Data Engineer, you will play a pivotal role in shaping data platforms across a range of cloud environments, with a strong focus on Google Cloud Platform (GCP). You’ll be involved in full-lifecycle data projects – from ingestion and transformation through to analytics and visualization – all while collaborating closely with data scientists, engineers, and business stakeholders.

This is a high-impact position that offers the chance to work on multi-client, multi-cloud environments and drive innovation across complex data ecosystems.


Key Responsibilities

  • Design and implement scalable, high-performance data platforms within GCP
  • Develop and manage ETL pipelines, ensuring quality and consistency across the data lifecycle
  • Collaborate with cross-functional teams to integrate data flows across multiple sources and applications
  • Provide technical guidance and training to users and internal teams


Required Experience

  • Proven track record of delivering large-scale data platforms using Google Cloud Platform
  • Hands-on experience with GCP tools:BigQuery, Dataform, Dataproc, Composer, Pub/Sub
  • Strong programming skills inPython, PySpark, andSQL
  • Deep understanding of data engineering concepts, including ETL, data warehousing, and cloud storage
  • Strong communication skills with the ability to collaborate across technical and non-technical teams


Desirable Experience

  • Bachelor's, Master’s, or PhD in Computer Science, Mathematics, or a related field
  • Familiarity with BI tools such asLookerfor reporting and dashboarding
  • Exposure to other environments such asDatabricks, Snowflake, AWS, Azure, or DBT
  • Understanding of observability, monitoring, and logging in GCP
  • GCP Professional Data Engineer certification(or similar)


What’s on Offer

  • Competitive salary of£80,000 + bonus and full benefits package
  • Flexible hybrid working from a central London base
  • Continuous professional development with access to leading certification programs (Google, AWS, Microsoft)
  • Dynamic, inclusive culture supported by internal networks and equity-focused initiatives
  • Involvement in innovative, high-impact projects for Fortune 100 clients


This is an excellent opportunity for aGCP Data Engineerlooking to take the next step in a cutting-edge environment that champions growth, collaboration, and technology-driven impact.

Let me know if you'd like a shorter version for LinkedIn or InMail outreach.


Reference: AMC/JWH/GDEL1

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer SAP {Defence, MoD

Data Engineer - Cognos and PowerBI - Submarines

Data Engineer (AI-Driven platform. Python/Snowflake)Remote £70k

Data Engineer - Snowflake, Oracle - Redress and Remediation

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.