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For Companies At a Glance
- Tasks: Design and optimise scalable data-driven applications using Java and GCP.
- Company: Join a high-profile client engagement with a focus on innovation.
- Benefits: Competitive contract rate, flexible work arrangements, and opportunities for skill enhancement.
- Other info: Collaborative team culture with a focus on performance optimisation and system reliability.
- Why this job: Make an impact by building cutting-edge cloud-native solutions in a dynamic environment.
- Qualifications: Mid to senior-level experience in Java, GCP, and data engineering concepts.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking experienced Mid to Senior Java / Data Platform Engineers to support a high-profile client engagement. The role will focus on building and optimising scalable, data-driven applications and distributed systems, with a strong emphasis on GCP, microservices, and data pipelines.
Key Responsibilities
- Design, develop, and maintain scalable, data-driven applications using Java
- Build and optimise microservices and distributed systems in cloud environments
- Develop and manage data pipelines (batch and streaming)
- Write high-quality unit, integration, and non-functional tests
- Work with GCP services (GKE, Pub/Sub, BigQuery, Dataflow) to build cloud-native solutions
- Collaborate with platform and DevOps teams to ensure reliable, production-ready systems
- Contribute to CI/CD pipelines and automation workflows
- Monitor, troubleshoot, and optimise system performance
Required Skills & Experience
- Proven experience as a Java Engineer / Software Engineer (mid–senior level)
- Strong experience with Java and object-oriented programming
- Hands-on experience with Google Cloud Platform (GCP), including:
- Pub/Sub
- BigQuery
- Dataflow
Data Platform Engineer in London employer: TechNET IT Recruitment Ltd
Contact Detail:
TechNET IT Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join online forums. The more people you know, the better your chances of landing that Data Platform Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GCP, microservices, and data pipelines. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Java and cloud knowledge. Practice common technical questions and be ready to discuss your experience with tools like Docker, Kubernetes, and Jenkins.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, it’s the best way to ensure your application gets noticed.
We think you need these skills to ace Data Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java, GCP, and data pipelines. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Data Platform Engineer role. Share your passion for building scalable applications and any cool projects you've worked on that relate to microservices or cloud environments.
Showcase Your Technical Skills: When filling out your application, be specific about your technical skills. Mention your experience with tools like Docker, Kubernetes, and Jenkins, as well as any scripting languages you know. We love seeing hands-on experience!
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at TechNET IT Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Java and the specific technologies mentioned in the job description, like GCP, microservices, and data pipelines. Brush up on your knowledge of Pub/Sub, BigQuery, and Dataflow, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss your previous projects that involved building scalable applications or working with distributed systems. Be ready to explain your role, the challenges you faced, and how you overcame them, especially in cloud environments.
✨Practice Problem-Solving
Expect some technical questions or coding challenges related to data engineering concepts and system optimisation. Practise solving problems on platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.
✨Emphasise Collaboration
Since the role involves working closely with platform and DevOps teams, be prepared to discuss your experience in collaborative environments. Highlight any instances where you contributed to CI/CD pipelines or worked on automation workflows to demonstrate your teamwork skills.