Data Engineer

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

• 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, 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.
• 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

The successful GCP Data Engineer will have:

• Strong hands-on Google Cloud Platform experience
• Proven experience building and supporting production data platforms
• 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

• 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