At a Glance
- Tasks: Design and maintain data pipelines on Google Cloud Platform for analytics.
- Company: Central London insurance broker with a fast-paced environment.
- Benefits: £700 per day, outside IR35, with potential for contract extension.
- Other info: Opportunity to work in financial services with excellent career prospects.
- Why this job: Join a dynamic team and make an immediate impact in data engineering.
- Qualifications: Strong GCP experience, SQL skills, and ability to start immediately.
Contract: Outside IR35. Rate: £700 per day. Duration: 4 weeks (strong potential for extension). Location: Central London (client‑based role). Start Date: Immediate.
Role Overview
We are working with a central London‑based insurance broker who requires an experienced GCP Data Engineer to support a critical short‑term engagement, with a strong likelihood of follow‑on work. This role suits a hands‑on engineer who can quickly embed into an existing data team, take ownership of delivery, and add immediate value within a fast‑paced commercial environment.
Key Responsibilities
- Design, build, and maintain data pipelines on Google Cloud Platform (GCP).
- Work with services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions.
- Support ingestion, transformation, and optimisation of data for analytics and reporting use cases.
- Collaborate closely with analytics, data science, and engineering stakeholders.
- Ensure data quality, performance, and security best practices are applied.
- Troubleshoot and resolve data platform issues efficiently.
Skills & Experience Required
- Strong commercial experience as a GCP Data Engineer.
- Hands‑on expertise with BigQuery and modern data pipeline architectures.
- Solid SQL skills and experience with Python (or similar) for data engineering tasks.
- Understanding of data modelling, ETL/ELT patterns, and cloud‑native best practices.
- Experience working in financial services or insurance environments is highly desirable.
- Ability to start immediately and deliver with minimal onboarding.
Engagement Details
- Outside IR35
- £700 per day
- Initial 4‑week contract, with strong potential for extension
- Based with a Central London insurance broker
- Immediate start required
Contract GCP Data Engineer - £700/pd Outside IR35 employer: Jefferson Frank
Join a dynamic insurance broker in Central London, where you will thrive in a fast-paced environment that values innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to work alongside experienced professionals, enhancing your skills while contributing to impactful projects. Enjoy competitive rates and the potential for ongoing engagements, all within a supportive culture that prioritises data quality and security.
StudySmarter Expert Advice🤫
We think this is how you could land Contract GCP Data Engineer - £700/pd Outside IR35
✨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 aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GCP projects, especially those involving BigQuery and data pipelines. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with data modelling and ETL/ELT patterns. We want you to shine and show them you're the perfect fit!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing familiar faces from our community landing great roles!
We think you need these skills to ace Contract GCP Data Engineer - £700/pd Outside IR35
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the GCP Data Engineer role. Highlight your experience with Google Cloud Platform, BigQuery, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your hands-on experience and how you can quickly add value to our team. Keep it concise but impactful!
Showcase Relevant Projects:If you've worked on any projects that involved data pipelines or analytics, make sure to mention them. We love seeing real-world examples of your work, especially if they relate to financial services or insurance.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in directly!
How to prepare for a job interview at Jefferson Frank
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially BigQuery and data pipeline architectures. Be ready to discuss specific projects where you've designed or maintained data pipelines, as this will show your hands-on expertise.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your SQL prowess and any Python experience you have. You might be asked to solve a problem on the spot, so practice writing queries and scripts that showcase your ability to handle data engineering tasks effectively.
✨Understand the Business Context
Since this role is with an insurance broker, it’s beneficial to understand the financial services landscape. Familiarise yourself with common data challenges in this sector and think about how your skills can add immediate value to their operations.
✨Be Ready to Collaborate
This role requires close collaboration with analytics and data science teams. Prepare examples of how you've worked with cross-functional teams in the past, and be ready to discuss how you ensure data quality and security in your projects.
