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For Companies At a Glance
- Tasks: Design and build secure, multi-tenant data platforms using modern cloud technologies.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on security and risk management.
- Why this job: Be at the forefront of data technology and make a real impact.
- Qualifications: Experience with Kubernetes, APIs, and data orchestration is essential.
The predicted salary is between 60000 - 80000 £ per year.
Location: UK
Department: Data Technology / Platform Engineering
Role Summary
We are looking for a Data Technology Engineer to design, build, and run secure, multi‑tenant data platform capabilities. This role focuses on platform services, integration, orchestration, security, and observability, enabling teams to reliably access, integrate, and operate data pipelines at scale. This is a modern cloud‑native platform role—ideal for engineers who enjoy working across Kubernetes, APIs, data orchestration, and developer experience, while partnering closely with security and risk stakeholders.
What You’ll Do
- Design and evolve multi‑tenant platform architecture
- Build secure access patterns for data services and APIs
- Deliver integration and API management capabilities (Kong or similar)
- Enable data virtualisation via Trino or query federation tools
- Operate Airflow as a platform service with production standards
- Implement end‑to‑end observability aligned to SLOs
- Improve CI/CD, artefact promotion, and developer experience
- Collaborate with security, risk, and engineering teams
Key Skills & Experience
- Strong experience in Kubernetes or cloud‑native platform engineering
- Exposure to multi‑tenant platform architectures
- API management or integration tooling (Kong, Apigee, gateways)
- Airflow in production environments
- Observability tooling (Prometheus, Grafana, tracing)
- Data access technologies (Trino, federation, or query engines)
- Solid engineering fundamentals: version control, CI/CD, IaC concepts
Nice to Have
- Security, audit, or policy‑as‑code exposure
- Container image management (Harbor or similar)
- Data storage experience (S3, Hive, RDBMS)
- Experience building internal developer platforms
Data Technology Engineer (UK) in London employer: NextWave Consulting Ltd
Contact Detail:
NextWave Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Technology Engineer (UK) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Technology Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to Kubernetes, APIs, and data orchestration. We want to see how you’ve tackled real-world problems and made an impact.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of multi-tenant architectures and observability tools. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Technology Engineer (UK) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Technology Engineer role. Highlight your experience with Kubernetes, API management, and any relevant cloud-native projects to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data technology and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: We love seeing hands-on experience! Include any relevant tools and technologies you've worked with, like Airflow, Trino, or observability tools. This will help us understand your technical prowess and how you can contribute to our team.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for the Data Technology Engineer position!
How to prepare for a job interview at NextWave Consulting Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Kubernetes, API management tools like Kong, and data orchestration with Airflow. Brush up on your knowledge of observability tools such as Prometheus and Grafana, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially around multi-tenant architectures or CI/CD improvements. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Understand Security and Compliance
Since this role involves working closely with security and risk stakeholders, be ready to talk about your experience with security best practices and policy-as-code. Highlight any relevant projects where you ensured secure access patterns.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data platform strategy, team dynamics, and how they measure success in their engineering practices. This shows your genuine interest and helps you assess if it’s the right fit for you.