At a Glance
- Tasks: Design and build scalable analytics platforms for mission-critical projects.
- Company: Join a leading organisation in the secure government sector.
- Benefits: Enjoy competitive salary, bonuses, flexible working, and funded training.
- Why this job: Make a real impact on national significance projects with cutting-edge technology.
- Qualifications: Strong background in data engineering, Python, and cloud technologies required.
- Other info: Dynamic environment with excellent career growth and complex challenges.
The predicted salary is between 36000 - 60000 £ per year.
Location: Cheltenham
Salary: Competitive
Benefits: Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses.
Work on analytics platforms that support highly sensitive, mission‑critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector.
The Client: We’re partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission‑critical solutions. Operating at the forefront of data, cloud, and AI‑driven innovation, they offer an environment where engineers can work on complex, high‑impact challenges with real‑world significance.
The Candidate: This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You’ll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data‑driven outcomes. You should also be comfortable working in secure, highly regulated environments.
The Role: We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high‑impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full lifecycle from development through to deployment and ongoing optimisation. This is a hands‑on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements.
Key Duties:
- Design, build and evolve scalable analytics and data platforms.
- Contribute across the full software development lifecycle.
- Support cloud migration and data management initiatives.
- Develop, test and deploy new platform capabilities.
- Troubleshoot and enhance existing analytics services.
- Provide hands‑on support to Data Scientists and MLOps teams.
- Tackle complex engineering challenges across a varied tech stack.
Requirements:
- Strong experience with Python.
- Experience with Kubernetes and Docker.
- Understanding of CI/CD pipelines (e.g. GitLab).
- Exposure to data platforms, MLOps or machine learning environments.
- Spark or Scala.
- AWS services (e.g. S3).
- Elasticsearch or graph databases.
- OIDC/OAuth.
- Node.js or React.
Analytics Platform Engineer (Principle & Senior) in Cheltenham employer: Curo Resourcing Ltd.
Contact Detail:
Curo Resourcing Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Platform Engineer (Principle & Senior) in Cheltenham
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in the secure government sector. We recommend practising common interview questions and even some technical challenges related to analytics platforms to show off your skills.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We love seeing real-world applications of your skills, especially if they relate to data platforms or MLOps.
✨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’re always looking for passionate individuals to join our team and tackle those complex engineering challenges together.
We think you need these skills to ace Analytics Platform Engineer (Principle & Senior) in Cheltenham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your background in data or analytics platform engineering, and don’t forget to mention any experience with Python, Kubernetes, or AWS services!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about building scalable, secure systems. Share specific examples of how you've tackled complex engineering challenges in the past, especially in dynamic environments.
Showcase Your Technical Skills: Be sure to include any relevant technical skills in your application. Mention your familiarity with CI/CD pipelines, MLOps, or any other technologies listed in the job description. We love seeing candidates who are well-rounded!
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 we can’t wait to see what you bring to the table!
How to prepare for a job interview at Curo Resourcing Ltd.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Kubernetes, and AWS services. Brush up on your knowledge of CI/CD pipelines and be ready to discuss how you've used these tools in past projects.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex engineering challenges. Think about situations where you had to collaborate with Data Scientists or MLOps teams, and be ready to explain your thought process and the outcomes.
✨Understand the Secure Environment
Since this role involves working in a highly secure environment, it’s crucial to demonstrate your understanding of security protocols and compliance. Familiarise yourself with OIDC/OAuth and any relevant regulations that might apply.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and the company’s approach to innovation in data and analytics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.