Analytics Platform Engineer (Principle & Senior)

Curo Resourcing Ltd.; Cheltenham; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Bonus and commission scheme

Private medical

Pension

Hybrid working

Funded training

Enhanced long‑term incentives

Additional leave

Retention bonuses

Job summary

Curo Resourcing Ltd. is recruiting Senior and Principal Analytics Platform Engineers to join a growing team delivering high‑impact data platforms within a secure environment.

You will design, build, and evolve scalable analytics platforms, supporting the full lifecycle from development to deployment and optimization. Work in collaboration with Data Scientists and MLOps to tackle complex challenges across a modern stack, including cloud migration, and data management, in a hybrid UK setting with

Qualifications

• 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.

Responsibilities

• 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.

Skills

Analytical thinking

Problem solving

Team collaboration

Communication

Tools

Python

Kubernetes

Docker

GitLab

Spark

Scala

AWS S3

Elasticsearch

OIDC/OAuth

Node.js

React

Job description

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.