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

Apply Now

Devops Engineer

Alderley Edge
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Engineer

Data Engineer (security cleared)

Data Engineer - London - Databricks - Azure - 70k + bonus

Data Engineer

Data Engineer

Role: DevOps Engineer

Location: Office near Alderley Edge, Cheshire

Working Arrangements: Hybrid working policy of 2 days per week in the office, which is flexible, but the team go in typically on Tuesdays and Thursdays

Salary: Up to £65k plus benefits

I am working with a lovely company that is about to go through a period of transition, going from being a small company to becoming part of a global organisation due to an acquisition. It’s an exciting time for them- everyone there is jazzed for it!

They are hiring in a number of departments and DevOps is no different. You’ll go into a small DevOps team that’ll be headed up by a Lead Engineer who will mentor and guide you, developing your skills from the solid foundation you’ve already got. You’ll contribute, learn, and be rewarded with great career progression routes for your hard work.

You will be fully hands-on, using a range of tech, but centring around AWS and Terraform, initially.

Here’s an abbreviated list of tech/skills you’ll use in the role:

  • AWS & GCP and various services, including AWS ECS, EC2, Fargate, Lambda, and GCP Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM.

  • Terraform for IaC

  • Docker

  • Kubernetes

  • Linux (sysadmin including firewalls and hardening)

  • Web Server Config (Apache, Nginx)

  • Database management (MongoDB & MySQL) for high availability and backups

  • Git for version control

  • Programming/Scripting languages like Node/TypeScript, Python

  • Serverless Infrastructure

  • Network design & admin

    There is a planned, company-wide, migration from AWS over to GCP in the next year or so, so any familiarity with GCP would be hugely beneficial for the role and you’ll need to be comfortable in switching cloud providers yourself, to be happy in the role. Due to the acquisition, integration experience would be really handy, too.

    Whilst a tech alignment is necessary, it will always be secondary to culture and values fit: being a self-starter, curious, proactive, upbeat, and engaged team member is very important to them.

    This is a great role to go into if you want to learn lots, get stuck in, and get experience of solving some complex, enterprise scale problems!

    If this sounds right up your street, apply now or get in touch to find out more!

    We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background

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 Engineering Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead.

Jobs

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

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Jobs

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

🍪 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.