Contract GCP Data Engineer in London

Contract GCP Data Engineer in London

London Freelance No home office possible
Nigel Frank

At a Glance

  • Tasks: Design and maintain scalable data pipelines using GCP technologies.
  • Company: Reputable insurance broker in Central London with a dynamic work environment.
  • Benefits: Competitive daily rate, potential for contract extension, and immediate start.
  • Other info: Opportunity for growth in a fast-paced commercial setting.
  • Why this job: Join a high-impact project and make a difference in the financial services sector.
  • Qualifications: Experience as a GCP Data Engineer with strong SQL and Python skills.

We're supporting a well-established insurance broker in Central London seeking a GCP Data Engineer for an initial short-term engagement, with strong potential for continued work. This role requires a hands-on contractor who can quickly integrate into an existing data function, take ownership of deliverables, and provide immediate impact within a fast-paced commercial setting.

Responsibilities

  • Design, build, and maintain scalable data pipelines within GCP
  • Utilise core services including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions
  • Enable efficient data ingestion, transformation, and optimisation for downstream analytics
  • Collaborate with data, analytics, and engineering stakeholders to deliver business-critical outputs
  • Ensure best practices across data quality, performance, and security
  • Troubleshoot and resolve issues across the data platform

Requirements

  • Proven experience as a GCP Data Engineer in commercial environments
  • Strong hands-on expertise with BigQuery and modern data architectures
  • Advanced SQL skills and experience with Python (or similar)
  • Solid understanding of data modelling, ETL/ELT pipelines, and cloud-native design principles
  • Experience within financial services or insurance is highly desirable
  • Ability to start immediately and deliver with minimal onboarding

What's on Offer

  • £600-£700 per day, Outside IR35
  • Initial 4-week contract with strong extension potential
  • High-impact engagement within a reputable insurance organisation
  • Immediate start on a client-facing project

Contract GCP Data Engineer in London employer: Nigel Frank

Join a reputable insurance broker in Central London as a Contract GCP Data Engineer, where you'll thrive in a dynamic work culture that values innovation and collaboration. With competitive daily rates and the potential for contract extension, this role offers immediate impact on critical projects while providing opportunities for professional growth in a fast-paced environment. Experience the advantage of working on-site in one of the world's leading financial hubs, surrounded by industry experts and cutting-edge technology.

Nigel Frank

Contact Detail:

Nigel Frank Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Contract GCP Data Engineer in London

Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work in financial services or insurance. A friendly chat can lead to insider info about job openings that might not even be advertised yet.

Tip Number 2

Show off your skills! Prepare a portfolio or a GitHub repository showcasing your GCP projects, especially those involving BigQuery and data pipelines. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Ace the interview! Research the company and come prepared with questions that show your interest in their data function. Highlight your hands-on experience and how quickly you can integrate into their team.

Tip Number 4

Apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications and updates.

We think you need these skills to ace Contract GCP Data Engineer in London

GCP Data Engineering
BigQuery
Cloud Storage
Dataflow
Pub/Sub
Cloud Functions
Data Ingestion

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience as a GCP Data Engineer. Focus on your hands-on expertise with BigQuery and any relevant projects you've worked on in commercial environments, especially in financial services or insurance.

Craft a Compelling Cover Letter:Use your cover letter to showcase your passion for data engineering and how you can make an immediate impact. Mention specific skills like SQL and Python, and relate them to the responsibilities outlined in the job description.

Showcase Your Problem-Solving Skills:In your application, include examples of how you've troubleshot and resolved issues in data platforms. This will demonstrate your ability to handle challenges in a fast-paced environment, which is key for this role.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity right away!

How to prepare for a job interview at Nigel Frank

Know Your GCP Inside Out

Make sure you brush up on your GCP knowledge, especially around BigQuery, Cloud Storage, and Dataflow. Be ready to discuss how you've used these tools in past projects and be prepared to share specific examples of data pipelines you've designed or maintained.

Showcase Your SQL and Python Skills

Since advanced SQL skills and Python experience are key for this role, practice some coding challenges beforehand. You might be asked to solve a problem on the spot, so being comfortable with writing queries and scripts will give you an edge.

Understand the Business Context

Familiarise yourself with the insurance sector and how data engineering plays a role in it. Being able to speak about how your work can impact business outcomes will show that you’re not just technically skilled but also understand the bigger picture.

Prepare for Collaboration Questions

This role involves working closely with various stakeholders, so expect questions about teamwork and collaboration. Think of examples where you've successfully worked with others to deliver critical outputs, and be ready to discuss how you handle conflicts or differing opinions.