Senior Analytics Engineer - UK (Remote)

immersivelabs; West of England; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Immersive Labs is seeking a Senior Analytics Engineer to join our UK engineering team, focusing on building and refining the Immersive One data platform. You will collaborate with Data Engineers, Analysts and Software Engineers to deliver actionable insights and scalable data models.

All team members contribute to data quality, observability, and optimization efforts, working in a collaborative, agile environment with remote-friendly options.

Qualifications

• Proficient in transforming, testing, and documenting data with robust lineage.
• Strong data modelling, data access, and data storage knowledge.
• Experience with version control and CI/CD practices.
• Expert SQL skills in cloud data warehouses (Snowflake) and performance tuning.
• Ability to work autonomously across multiple teams in ambiguity.

Responsibilities

• Lead data quality initiatives and oversee observability and model optimisation.
• Design, build, and maintain high-quality datasets for reports.
• Collaborate with engineers to manage upstream product changes.
• Mentor junior engineers and promote best practices in SDLC.
• Deliver valuable insights to customers across teams.

Skills

SQL

Data modelling

Data warehousing

Observability

Data quality

Tools

Snowflake

Job description

A platform you can believe in: Immersive One is the leading cyber resilience solution across the globe. Build and scale a best in class platform alongside a team of the brightest minds in cybersecurity! At Immersive, we're uniquely positioned to future-proof organizations against any cyber challenge. If that excites you, read on!

Immersive is the cyber proving ground for the AI enterprise. Through Immersive One, organizations can test whether people, AI-enabled workflows, cyber security teams, agents, and leaders can perform securely under realistic pressure, then turn that performance into evidence they can use to improve, benchmark, and report readiness.

Trusted by 30%+ of the Fortune 100 and ranked #1 in the Forrester Wave™ 2026, Immersive helps organizations prove AI can be adopted safely, teams can develop and defend at AI speed, leaders can lead through crisis, and AI agents can be validated before they are trusted in live workflows

https://www.immersivelabs.com/why-immersive-labs

We help the world's biggest brands like Citi, Pfizer, Humana, and HSBC, protect their revenues and brand reputations.

Immersive was founded in 2017, from a cargo container in Bristol, UK we've grown to over 300 employees globally, announced funding of more than $180 million and been voted a Best place to work on multiple occasions!

https://www.immersivelabs.com/company/our-story

"The speed at which Immersive produces technical content is hugely impressive, and this turnaround has helped get our teams ahead of the curve, giving them hands-on experience with serious vulnerabilities, in a secure environment, as soon as they emerge."

Head of Global Cybersecurity Operations, HSBC

Senior Analytics Engineer - UK (Remote)

Come and join our established UK Engineering team as a Senior Analytics Engineer - We are looking for someone curious, eager to solve problems, and excited to build alongside a collaborative team.

Reporting to one of our Engineering Managers, you will be a key part of building our Immersive One platform. You'll join a team where we value determination, ingenuity, and pragmatic, reusable technical solutions. You can see part of it in our free community offering at immersivelabs.com/cybermillion .

This is an exciting opportunity to be responsible for developing a truly ground breaking product. You will be instrumental in shaping the future of our product, working across our entire system landscape

As a Senior Analytics Engineer you'll be responsible for collaborating with Data Engineers, Data Analysts and Software Engineers to develop, maintain and refactor analytical data models within our data warehouse.

In this role, you will be working as part of a product team and utilise strong technical and communication skills to work cross-functionally to deliver valuable insights to our customers.

We are not just seeking a skillset though - we are looking for someone who will also become an important and vital part of our team, so we seek a driven, curious and collaborative person to become our next colleague

At Immersive, we value determination, ingenuity, collaboration and an understanding that unique products require unique technical solutions.

You'll get to work in a friendly multi-disciplinary agile team and also work on innovative ideas regularly during our Hack Weeks, where collaboration between different teams is encouraged to find unique solutions.

Your main responsibilities:

As a Senior Analytics Engineer within our team, you will lead initiatives on topics such as data quality, observability and model optimisation. Typical responsibilities could involve;

• Design, build and maintain high quality datasets for engineers to build robust customer facing reporting
• Collaborate closely with engineers to assess and mitigate the impact of upstream product changes
• Apply domain knowledge to develop semantic layers for business intelligence
• Mentor junior engineers and, teaching them the SDLC process and engineering best practices

Success in this role will depend most on your approach, underlying skills and potential for growth, even if some of the above would be new to you.

Requirements:

• You are proficient in transforming, testing, and documenting data while maintaining a robust data lineage.
• You are knowledgeable in data modelling, data access, and data storage techniques
• You have experience following software engineering best practices like version control and continuous integration
• You have strong proficiency using SQL in cloud data warehouses (we use Snowflake) and are comfortable with performance optimization, data partitioning, and window functions
• You are able to operate effectively and autonomously across multiple teams in situations of ambiguity, with only high-level d