Platform Engineer

Oscar; Cheltenham; Hybrid; GBP 90,000 - 110,000; Full time

Benefits offered by this job

Hybrid working

Life Assurance

Private Medical Insurance

28 days annual leave

Training budget

Cheltenham office with parking

Bonus scheme

Flexible working

Job summary

Oscar is seeking an Analytics Platform Engineer (Senior or Principal) to design, build and evolve scalable analytics hosting platforms in a hybrid setup across the UK. You will collaborate with Data Scientists and MLOps teams, driving cloud migrations and robust data platforms using Kubernetes, Docker and modern tooling.

The role requires strong Python, Kubernetes and Docker skills, plus experience with data analytics environments and mission-critical solutions.

Qualifications

• Experience with Kubernetes and Docker in containerised environments.

Responsibilities

• Design, develop, test and deploy scalable analytics hosting platforms.
• Build secure and robust systems supporting mission-critical analytics solutions.
• Work across the full software development lifecycle, from design through to deployment and ongoing enhancement.
• Work on high-impact projects focused on cloud migration and data management.
• Develop and enhance platform capabilities to support evolving analytics requirements.
• Troubleshoot and resolve issues across existing analytics services.
• Deliver bug fixes and feature enhancements for mission-facing analytics platforms.
• Provide hands-on engineering support to Data Scientists and MLOps teams.
• Work across a varied technology landscape, adapting to unfamiliar technologies where required.
• Contribute to the design and implementation of reliable, scalable and secure technical solutions.
• Work collaboratively with technical teams to understand requirements and deliver effective engineering solutions.
• Help ensure analytics platforms remain robust, maintainable and fit for purpose.

Skills

Kubernetes

Docker

CI/CD

Python

Data management

MLOps

Data Scientist collaboration

Cloud migration

Apache Spark

Scala

S3

Graph databases

Elasticsearch

Vector databases

OIDC / OAuth

NodeJS

React

GitLab

Tools

GitLab

NodeJS

React

Spark

Elasticsearch

Scala

S3

Graph databases

Vector databases

OIDC / OAuth

Job description

Title: Analytics Platform Engineer - Senior or Principal

Package: up to £110,000

Due to the nature of the role, an active UK*C DV Clearance is required for eligibility.

The Opportunity

I'm currently working with a specialist consultancy focused on digital transformation and technical delivery within the public sector, who are looking to hire both Senior or Principal Analytics Platform Engineer's to join their growing team.

This is an exciting opportunity to work on high-impact projects involving cloud migration, data management and the development of robust analytics platforms supporting mission-critical solutions.

You’ll play a key role in designing, building, testing and evolving scalable analytics hosting platforms, while also providing hands‑on engineering support to Data Scientists and MLOps teams.

The role offers plenty of variety, with the opportunity to work across a broad range of technologies and tackle complex technical challenges. You’ll need to be comfortable operating in environments where requirements can change and where you may need to work with unfamiliar technologies to find practical, reliable solutions.

If you’re an experienced engineer with strong Python, Kubernetes and Docker skills who enjoys solving complex problems and working at the intersection of data, analytics and platform engineering, this could be an excellent next step.

Key Responsibilities

• Design, develop, test and deploy scalable analytics hosting platforms.
• Build secure and robust systems supporting mission‑critical analytics solutions.
• Work across the full software development lifecycle, from design through to deployment and ongoing enhancement.
• Work on high‑impact projects focused on cloud migration and data management.
• Develop and enhance platform capabilities to support evolving analytics requirements.
• Troubleshoot and resolve issues across existing analytics services.
• Deliver bug fixes and feature enhancements for mission‑facing analytics platforms.
• Provide hands‑on engineering support to Data Scientists and MLOps teams.
• Work across a varied technology landscape, adapting to unfamiliar technologies where required.
• Contribute to the design and implementation of reliable, scalable and secure technical solutions.
• Work collaboratively with technical teams to understand requirements and deliver effective engineering solutions.
• Help ensure analytics platforms remain robust, maintainable and fit for purpose.

Essential Skills and Experience

• Experience working with Kubernetes.
• Strong experience with Docker and containerised environments.
• Understanding of CI/CD principles and experience with GitLab pipelines.
• Strong problem‑solving skills and a practical engineering mindset.
• Experience designing and building scalable, secure technical solutions.
• Ability to work effectively across a varied and sometimes unfamiliar technology environment.
• Strong communication and collaboration skills.
• Ability to work effectively with technical teams including Data Scientists and MLOps Engineers.
• Experience working with Data Science and/or MLOps environments.
• Experience with Apache Spark.
• Experience with Scala.
• Experience working with S3 and cloud storage technologies.
• Experience with graph databases.
• Experience with Elasticsearch.
• Experience with vector databases / vector stores.
• Knowledge of OIDC / OAuth.
• Experience with NodeJS.
• Experience with React.
• Previous experience working on cloud migration or data management projects.

Package and Benefits

• Up to £110,000 package.
• Personal and company bonus scheme.
• Hybrid and flexible working arrangements.
• Life Assurance.
• Private Medical Insurance.
• 28 days annual leave, plus the option to buy up to an additional.
• Access to a personal financial advisor.
• Central Cheltenham offices with parking and flexible working spaces.
• Generous annual training budget and ongoing development opportunities.
• Collaborative team environment with regular social events.
• Enhanced long-service benefits, including additional holiday, increased pension contributions, retention bonuses and charitable contributions.
• Opportunity to work on high-impact digital transformation projects.