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

Nominate & Attend

GCP Data Engineer

Anson McCade
City of London
6 days ago
Create job alert

GCP Data Engineer


London (Hybrid)

Salary: Up to £115,000 + benefits


A global consultancy is looking for aGoogle Cloud Platform (GCP) Data Engineerto join a cross-functional data team delivering high-impact projects across multiple industries.


This role focuses on building and managing end-to-end data solutions within the GCP ecosystem, working with or building Agentic AI systems - supporting clients with scalable, cloud-native platforms and tools.


Key Responsibilities:


  • Design and implement data platforms using GCP
  • Manage data workflows from ingestion to reporting
  • Collaborate across teams to ensure seamless data integration
  • Evaluate and implement the right technologies for each use case
  • Support knowledge sharing and technical best practice


Essential Experience:


  • Proven expertise in building data warehouses and ensuring data quality on GCP
  • Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub
  • Skilled in PySpark, Python and SQL
  • Solid understanding of ETL/ELT processes
  • Clear communication skills and ability to document processes effectively


Desirable Skills:


  • GCP Professional Data Engineer certification
  • Exposure toAgentic AIsystems or intelligent/autonomous data workflows
  • Experience with BI tools such as Looker
  • Exposure to Databricks, Snowflake, AWS, Azure or DBT
  • Academic background in Computer Science, Mathematics or a related field


This is an opportunity to work in a forward-thinking environment with access to cutting-edge projects, ongoing learning, and a collaborative culture.


Contact Anna-Jane Murphy at Anson McCade to learn more.


AMC/AJM/GCPDE

Related Jobs

View all jobs

GCP Data Engineer

GCP Data Engineer

GCP Data Engineer

GCP Data Engineer

GCP Data Engineer

GCP Data Engineer (Java, Spark, ETL)

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.