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

Nominate & Attend

GCP Data Engineer - London - £75k +bonus

City of London
3 weeks ago
Create job alert

GCP Data Engineer - London - £75k +bonus

Please note - this role will require you to attend the London based office 2-3 days per week. To be considered for this role you must have the unrestricted right to work in the UK - this organisation can not offer sponsorship.

Are you a skilled Data Engineer with a passion for cloud technologies and a strong foundation in GCP, Azure, SQL, and Python? A leading Lloyd's of London reinsurance broker is seeking a talented individual to join their growing data team and help shape the future of their cloud data platform.

Key Responsibilities:

Design, build, and maintain scalable data pipelines and ETL processes in Google Cloud Platform (GCP).
Lead and contribute to a major cloud migration project from Azure to GCP, ensuring seamless data integration and minimal disruption.
Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
Integrate data from various sources, ensuring data quality, consistency, and security.
Write clean, efficient, and well-documented SQL and Python code for data transformation and automation.
Assist in the utilisation and adoption of emerging AI technology usage.
Assist in training and mentoring more junior members of staff.

Required Skills & Experience:

Proven experience as a Data Engineer in a commercial environment.
Strong hands-on experience with Google Cloud Platform (GCP) services (e.g., BigQuery, Dataflow, Pub/Sub).
Solid understanding of Azure data services and hybrid cloud environments.
Advanced SQL skills and proficiency in Python for data engineering tasks.
Experience working in or with insurance, reinsurance, or financial services is a strong advantage.

🎯 Desirable:

Familiarity with data governance, security, and compliance in regulated industries.
Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform).
Knowledge of data modelling and warehousing best practices.Interviews for this role are beginning this week so please apply today if you'd like to be considered! To apply, please submit your CV or contact David Airey on (phone number removed) or at (url removed).

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment

Related Jobs

View all jobs

GCP Data Engineer

GCP Data Solutions Architect

Lead GCP Data Architect

Senior Solutions Architect

Senior Data Engineer

Integrator Eng

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 Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.

Data Engineering Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data engineering teams. Driven by the UK’s Digital Economy Strategy, the AI & GenAI boom, cheaper cloud storage and a squeeze on legacy batch pipelines, data engineering hiring is in overdrive for 2025. Employers from hyperscale tech firms to NHS trusts want lake‑house architects, streaming‑platform specialists, ETL developers, MLOps pipeline gurus, analytics engineers & FinOps‑savvy cost guardians—right now. Below you’ll find 50 organisations that posted UK‑based data engineering vacancies or announced head‑count growth in the last eight weeks. They’re grouped into five easy‑scan categories. For each company you’ll see its main UK hub, an example live or recent vacancy, and a quick reason it’s worth your time. Search any employer on DataEngineeringJobs.co.uk to view current ads, or set a free alert so fresh openings land straight in your inbox.

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

Re-entering the workforce after a career break can feel like stepping into a rapidly shifting data pipeline—especially in a specialist field like data engineering. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data engineering sector now offers a variety of return-to-work pathways. From structured returnships to flexible, hybrid and full-time roles, these programmes recognise the value of your transferable skills and life experience. With tailored mentorship, targeted upskilling and supportive networks, you can confidently relaunch your data engineering career. In this guide, you’ll learn how to: Understand the current demand for data engineers in the UK Leverage your organisational, communication and problem-solving skills in data contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data engineering Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your relaunch with caring responsibilities Master applications, interviews and networking specific to data engineering Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data pipeline developer, ETL specialist, big-data architect or analytics engineer, this article maps out the steps and resources you need to reignite your data engineering career.