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 options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a supportive team.
- Why this job: Be at the forefront of data technology and make a real impact in a collaborative environment.
- Qualifications: Experience with Kubernetes, API management, and cloud-native platforms is essential.
The predicted salary is between 55000 - 70000 £ 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
Join a forward-thinking company that prioritises innovation and collaboration in the heart of the UK. As a Data Technology Engineer, you will thrive in a dynamic work culture that values continuous learning and professional growth, offering access to cutting-edge technologies and a supportive environment. With a focus on secure, cloud-native solutions, you'll be part of a team that empowers you to make a meaningful impact while enjoying a healthy work-life balance and competitive benefits.
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 what you can do, so make it easy for potential employers to check out your work.
✨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
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—so don’t hesitate to hit that apply button!
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 mentioned in the job description. Highlight your experience with Kubernetes, API management, and any relevant data technologies to show us you’re a great fit for the Data Technology Engineer role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data technology and how your background aligns with our needs. Share specific examples of your work with multi-tenant platforms or observability tools to grab our attention!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially in areas like Airflow or data orchestration.
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!
How to prepare for a job interview at NextWave Consulting
✨Know Your Tech Stack
Make sure you’re well-versed in Kubernetes, APIs, and data orchestration tools. Brush up on your knowledge of Airflow and observability tools like Prometheus and Grafana. Being able to discuss these technologies confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to multi-tenant architectures or API management. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled those issues effectively.
✨Understand Security and Compliance
Since this role involves working closely with security and risk stakeholders, be prepared to talk about your experience with secure access patterns and policy-as-code. Familiarise yourself with common security practices in cloud-native environments to demonstrate your awareness of the importance of security.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the tools they use for CI/CD, or how they measure success in their data platform. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
