Analytics Platform Engineer

LM RECRUITMENT SOLUTIONS LTD
London, UK
7 days ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Amazon S3 Continuous Integration Elasticsearch Graph Database Python (Programming Language) Node.Js OAuth OpenID Software Engineering Trusted Systems ReactJS Apache Spark
+6 more
Gitlab Kubernetes Data Analytics Data Management Machine Learning Operations Docker

Job description

We are seeking an Analytics Platform Engineer to join our team, where you will play a key role in

designing, building, and evolving robust analytics hosting platform that supports mission-critical solutions. In this role, you will develop, test, deploy, and enhance platform capabilities, resolve issues

within existing analytics services, and provide hands-on engineering support to Data Scientists and

MLOps teams working across a range of technologies. You will operate in a dynamic environment with varied and sometimes unfamiliar technical challenges, requiring strong problem-solving skills, adaptability, and a practical engineering mindset to deliver reliable, scalable, and secure solutions that enable data-driven outcomes for our client. The following is a headline list of the type of tasking that the person in this role may be expected to

lead / facilitate / support. This list is not exhaustive; rather an outline of responsibilities that may need ownership.

In this role, you will:

Work on high impact projects focused on cloud migration and data management.

Build scalable, secure systems and contributing to the full software development lifecycle.

Design, develop, test, and deployment of a new analytic hosting platform.

Bugfixes and feature requests for existing mission facing analytics.

Engineering support to MLOps engineers and Data Scientists. These are unpredictable and

highly variable requirements, potentially using unfamiliar technology, so a flexible style is

Requirements

In this role, we are looking for a mixture of the following skills:

Python

Kubernetes

Docker

CI/CD basics (Gitlab pipelines)

Data science and MLOps knowledge (highly desirable)

Spark (highly desirable)

Scala (highly desirable)

S3 (highly desirable)

Graph databases (highly desirable)

Elasticsearch (highly desirable)

Vector stores (highly desirable)

OIDC/OAuth (highly desirable)

NodeJS (highly desirable)

React (highly desirable)

Will be required to hold a higher level of clearance.

Benefits & conditions

Competitive salary with personal & company bonus scheme, plus business development

commission

Life Assurance and Private Medical Insurance

28 days holiday (plus option to buy up to 2 extra weeks)

Generous pension contributions with access to a personal financial advisor

Available Car scheme with Octopus Energy

Hybrid and flexible working arrangements

Beautiful central Cheltenham offices with parking, flexible workspaces, and comfy lounge

areas

Always-stocked fridge with drinks and snacks

Fun, collaborative team culture with regular social events and parties

Opportunities to grow with a generous annual training budget

Amazing long-service benefits, including extra holiday, higher pension contributions,

retention bonuses, and charitable contributions. TPBN1_UKTJ

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:20 min

Identifying multi-disciplinary talent for developer experience engineering roles

Hazal Mestci +1 · Coffee With Developers

2:49 min

Adopting OAuth best practices and removing outdated grants

Alexander Schwartz Alexander Schwartz · World Congress 2026 Europe

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

6:14 min

Structuring CI/CD pipelines with integrated security and quality checks

Christoph Ruggenthaler · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:34 min

Analyzing vulnerabilities in standard OAuth 2.0 authorization flows

Alexander Schwartz Alexander Schwartz · World Congress 2026 Europe

Videos

See all

Related articles

See all