Senior Software Engineer (Data)

Bright Purple
Edinburgh
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer – Machine Learning

Senior Software Engineer, Cloud Native & MLOps

Senior Software Engineer - On Device Machine Learning

Artificial Intelligence Engineer

Computer Vision Engineer - Sports Tracking

Computer Vision Engineer - Sports Tracking

Senior Data EngineerEdinburgh (Hybrid - c.2 days per week on-site)£65,000 - £75,000 per year
One of theworld's leading ClimateTech scale-ups- founded in Scotland by world-class figures across the industry - have exclusively engaged Bright Purple to hire a newSenior Data Engineeras a hands-on lead overseeing the design and development of internal platforms and data solutions.
They are a culture-first business with great care taken to ensure they maintain and grow a diverse, supported, and safe workspace, with real flexibility given to the team to ensure work and life can be balanced properly.
Ideally you are asoftware or data engineerpassionate about the environment and motivated by the idea of working for one of the fast-growing techs in the sector. You'll be richly rewarded by collaboration with exceptional colleagues (multiple PhDs) on cutting edge, mission-driven tech-for-good. This opportunity could truly be the dream job for you.
Their ground-breaking, machine-learning mapping software has been used to support data-driven, climate-focused projects across the global, covering incredible areas of land and processing satellite data from some of the most important and critically endangered ecosystems on earth.
This environments favours problem-solving and a flexible approach to tooling and tech.
You would be joining a passion & intelligent team working with technologies like:

  • Azure
  • Python
  • Terraform
  • Machine Learning
  • Artificial Intelligence


The ideal candidate will have the following experience:

  • Commercial experience in data, machine learning or software development
  • Previous experience with Python and its related libraries
  • Experience building cloud-hosted data pipelines
  • Knowledge of modern cloud and dev-ops tools
  • Linux/Unix
  • Experience in geospatial data


In return, you will get the chance to make a genuine difference to the fight against climate change, and enjoy a flexible, hybrid approach to work with benefits that cover: 33 days holiday a year; your birthday off every year; company pension contribution; and much more!
Do you or someone you know have the skills, qualities and passion were looking for? If so, dont delay, and get in touch today with your latest CV for immediate consideration.
Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

JBRP1_UKTJ

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.