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Data Engineer

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GCP Data Engineer
Fully remote
£85,000 - £90,000 + Excellent Benefits
SC Cleared / SC Eligible
Are you a GCP Data Engineer looking to work on cutting-edge AI and data platforms that solve genuinely complex problems?
We're partnering with a fast-growing AI and technology scale-up that is transforming how organisations manage, process and derive value from large-scale data. Due to continued growth, they are looking to hire a talented GCP Data Engineer to help build and scale cloud-native data platforms that power advanced analytics, streaming pipelines and AI-driven solutions.
As a GCP Data Engineer, you'll join a highly autonomous engineering team responsible for designing and delivering modern data architectures within Google Cloud Platform. You'll work with real-time data, distributed systems and large-scale cloud infrastructure, helping shape a platform from the ground up.
This opportunity is ideal for a GCP Data Engineer who enjoys solving challenging technical problems, influencing architecture decisions and working with modern technologies such as Kafka, Spark, BigQuery and Kubernetes.
What You'll Be Doing
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Designing and building scalable cloud-native data pipelines within GCP
- Developing real-time and event-driven architectures using Kafka and streaming technologies
- Creating robust data platforms capable of processing complex, high-volume datasets
- Building data models, lineage frameworks and scalable data services
- Supporting AI and machine learning teams with trusted data foundations
- Working with modern engineering practices including Infrastructure as Code, CI/CD and automated testing
- Collaborating with software engineers, architects and data scientists to deliver production-grade solutions
What We're Looking For
The successful GCP Data Engineer will have:
- Strong hands-on Google Cloud Platform experience
- Proven experience building and supporting production data platforms
- Excellent Python development skills
- Strong understanding of data architecture and data modelling
- Experience with distributed data processing technologies
- Knowledge of Infrastructure as Code and cloud engineering best practices
- Active SC Clearance or eligibility to obtain SC Clearance
Highly Desirable Experience


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- Kafka and real-time streaming architectures
- Graph databases or knowledge graph technologies
- Entity resolution or data fusion projects
- Spark, Flink, Iceberg and Trino
- Kubernetes and containerised deployments
- AI and machine learning data platforms
Why Apply?
This is an opportunity for a GCP Data Engineer to join one of the most exciting technology businesses in the market, working on greenfield projects that sit at the intersection of cloud, data engineering and AI. You'll have significant ownership, access to modern technologies and the chance to work on highly impactful programmes.
Benefits
- Four-day working weeks throughout July, August and December
- Additional company days off throughout the year
- Early finish every Friday
- Competitive pension and benefits package
- Equity opportunities
- Rapid career progression
- Exposure to cutting-edge AI technologies and large-scale cloud platforms
Keywords: GCP Data Engineer, Google Cloud Data Engineer, Kafka Engineer, Data Platform Engineer, Streaming Data Engineer, BigQuery, Spark, Flink, Terraform, Kubernetes, SC Cleared Data Engineer.
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