Senior Full Stack Engineer

Compensation

  • £60,000 – £80,000 Base 

  • Performance Related Bonus

  • Benefits


Who We Are

Hypercube Consulting is a rapidly scaling data‑and‑AI specialist focused on the energy sector. We pair deep domain know‑how with modern technology to help utilities, renewables and low‑carbon innovators unlock value from data.

To get a better understanding of how we think and some of the ways we work, check out our founder’s blog here:

Adam Sroka’s Blog


Role Purpose

We’re an adaptable, growing consultancy looking for a front-end specialist who’s also comfortable working across the stack. This is an early hire, ideal for someone driven, collaborative, and ready to help shape the direction of the company.

You’ll work closely with our expert data and analytics consultants to deliver impactful software solutions for our customers. This is a hands-on technical role, covering everything from gathering requirements to building and deploying production-grade front-end applications using modern open-source and cloud technologies.

You’ll play a key part in guiding technical delivery, supporting our broader engineering strategy, and contributing to the growth of both our team and our community. That includes mentoring others, sharing knowledge through blogs or talks, and helping win new work through demos and presales.

We’re looking for someone who values getting things into production, thrives in a collaborative environment, and wants to be part of a purpose-driven, community-focused team.


What you’ll do

  • Work with developers, managers, and business stakeholders to understand and define components of the technology landscape and how it relates to the business strategy
  • Understand and translate end-user requirements into designs and delivery plans for effective back-end and front-end software
  • Leverage open source and cloud platform technologies to deliver robust solutions
  • Design, develop, execute, and maintain software solutions and front-end web applications for our customers
  • Discover, analyse, and present findings to customers and stakeholders
  • Build, maintain, and support our wider data platform, machine learning and AI solutions using the latest best practices in DevOps and CI/CD
  • Produce high-quality communications, documentation, and presentations of solutions for colleagues and customers
  • Subject matter expert and evangelist for software engineering practices
  • Contribution to Hypercube’s blog and other outreach efforts
  • Working with the business development team to shape and win new projects
  • Helping to grow both our internal knowledge and skillsets as we scale.

Technical skills & experience

We understand that this list is extensive – please apply if you fit some or only part of it we’re flexible and are mostly looking for bright people who can adapt as the role grows. We want to see the broadest range of possible candidates from a diverse mix of backgrounds. Technical skills are only part of the equation. Ideally, you will have hands-on experience with the following in a previous role:

  • Working with stakeholders in interviews to create designs and user stories for solutions
  • Javascript/Typescript
  • React
  • Python
  • SQL
  • Cloud platform experience (AWS, Azure, GCP)
  • CI/CD, DevOps
  • Testing

Additional experience with the following would be beneficial but not essential:

  • Java
  • Infrastructure, Docker, Kubernetes and container services
  • Containers and related services (AKS, Container Registry)

Other desirable skills and experience

  • Ability to act as a driving force in a growing data and analytics consultancy
  • Building projects or sharing knowledge in public – whether that be contributing to open source, blogging, YouTube, content creation, speaking at events, or similar.
  • Strong stakeholder management
  • Experience translating difficult business questions and designs of data solutions into action
  • Analysis/requirements gathering, solution design, and implementation of data science solutions
  • Experience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, data scientists etc.
  • Experience in working with AI and advanced analytics systems and data pipelines in a production cloud environment
  • Exceptional communication skills, both written and verbal – able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences.

What’s in it for you?

  • High Impact: Solve difficult problems for leading energy players tackling net‑zero challenges
  • Flexible Working: Remote/hybrid, part‑time or condensed options – we measure outcomes, not chair‑time
  • Personal Brand: We sponsor conferences, blog posts and OSS work – your thought‑leadership is encouraged
  • Start‑Up Energy, Consultancy Rigour: Best of both worlds – fast decisions, minimal bureaucracy, clear processes

Benefits

  • Enhanced pension
  • Performance related bonus
  • Enhanced maternity/paternity
  • Peer cash award scheme
  • Cycle to work scheme
  • Flexible remote/hybrid  working
  • Events and community participation
  • Private health insurance
  • Health cash plan
  • EV leasing scheme
  • Training and events budget
  • Mentorship programmes

Diversity & Inclusion

Hypercube aims to mirror the diversity of wider society. We welcome applications from all backgrounds and guarantee that hiring decisions are based on merit and potential alone. If you need adjustments – flexible hours, interview tweaks, or anything else – just tell us.


Ready to Apply?

Even if you tick only some of the boxes, we’d still love to hear from you. Apply via our careers page or reach out to the talent team on LinkedIn. Let’s accelerate the energy transition together – one intelligent model at a time.

N.B. We are currently not able to sponsor visas.

Apply to work at Hypercube

AI FOR ENERGY

Socialise

Our Offices

Glasgow

Framework, 124 St Vincent St, Glasgow G2 5HF

Aberdeen

ONE Tech Hub is Schoolhill, Aberdeen, AB10 1JQ

Certificate No:428952023
Certificate No:428952023

Privacy Preference Center