Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

DevOps Engineer - Senior

Xpertise Recruitment
Derby
1 year ago
Applications closed

Related Jobs

View all jobs

DevOps Engineer / Data Engineer - Azure Data Platform

AWS Data Engineer - AirFlow

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

AWS Data Engineer - Airflow

Xpertise is recruiting a Mid-level and two Senior DevOps Engineers for one of the UK's most popular brands. The company is undergoing several highly innovative digital projects and improving its customer experiences worldwide. We've seen the roadmap, and it's awesome!

Key details:

Salary: £60,000-90,000 + 10-15% bonus + free flights + great pension

Location: Can be mainly remote + West London office

Future Outlook: There are plenty of vertical and horizontal opportunities across the entire organisation. Xpertise has placed developers who have progressed into data scientists, solution & cloud architects, managers, and even directors! This roadmap can be planned immediately and always adjusted to suit your style and long-term goals.

Key tech stack desired / what you will learn:

  • AWS and serverless technologies: Lambda, CDK, and CloudWatch
  • Terraform
  • CI/CD tools such as GitHub Actions, ArgoCD,
  • Microservices: Docker and Kubernetes
  • Python, or Java, or JavaScript
  • Cyber security tools and best practices

 

Role overview:

The team is looking for engineers who can apply and uphold cutting-edge industry practices to make apps as secure as feasible while simultaneously increasing developer productivity. This is a critical hire for the team. By closely collaborating with the cyber and product teams, you will play a crucial role in ensuring that the company's products are developed with security concerns from the bottom up.

 

Interested? Please apply with your CV and/or message Billy Hall for further details.

 

 

 

 

 

Xpertise acts as an employment agency.

Back to Jobs

SHARE:

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.