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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) employer: NextWave Consulting
Contact Detail:
NextWave Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Technology Engineer (UK)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to Kubernetes, APIs, or data orchestration. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and scenarios relevant to data technology engineering. Practice explaining your thought process clearly, especially around platform architecture and security.
✨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)
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 cloud-native platforms. We want to see how you fit into our Data Technology Engineer role!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data technology and how your background aligns with our needs. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: When filling out your application, be sure to include any technical skills that relate to the role, like your experience with Airflow, observability tools, or data access technologies. We love seeing candidates who can demonstrate their hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own platform!
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.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking 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.