Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer GCP - Finance

Client Server
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

(INV) Senior Consultant, Data Engineer, AI&Data, UKI

(INV) Senior Consultant, Data Engineer, AI&Data, UKI

This range is provided by Client Server. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Base pay range

Direct message the job poster from Client Server


Senior Data Engineer (GCP BigQuery Python SQL) London / WFH to £85k


Are you a tech savvy Data Engineer with Google Cloud expertise combined with client facing skills?


You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands‑on Data Engineer role.


As a Senior Data Engineer you will design and build end-to-end real‑time data pipelines using GCP services such as BigQuery, Dataflow and Dataproc, collaborating closely with clients to define business requirements, architect fit‑for‑purpose data solutions and support the migration of legacy on‑premise systems to cloud‑native architectures.


You’ll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well‑tested and fault‑tolerant data engineering solutions.


Location / WFH:


There’s a hybrid work from home model with two days a week in the London, City office (or at client site in London).


About you:



  • You are an experienced Data Engineer within financial services environments
  • You have expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM
  • You have strong Python, SQL and PySpark skills
  • You have experience with real‑time data streaming using Kafka or Spark
  • You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling
  • You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins or GitHub Actions
  • You're collaborative and pragmatic with excellent communication and stakeholder management skills
  • You're comfortable taking ownership of projects and working end‑to‑end

What's in it for you:


As a Senior Data Engineer you will earn a highly competitive package:



  • Salary to £85k
  • Bonus c15%
  • Pension (up to 7% employer contribution), Life Assurance, Income Protection
  • Private medical care for you and your family, including mental health
  • Travel Insurance
  • Charitable giving
  • Gym membership for you and your family

Apply now to find out more about this Senior Data Engineer (GCP BigQuery Python SQL) opportunity.


At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.


Seniority level

  • Seniority levelMid‑Senior level

Employment type

  • Employment typeFull‑time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesData Infrastructure and Analytics, Software Development, and IT Services and IT Consulting

Referrals increase your chances of interviewing at Client Server by 2x


Get notified about new Data Engineer jobs in London, England, United Kingdom.


#J-18808-Ljbffr

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.