Graduate Data Engineer

Stockbridge, City of Edinburgh
1 week ago
Create job alert

An established and tech focused company with over 20 years of industry success is looking for a bright and ambitious Graduate Data Engineer to join their growing team in Edinburgh (hybrid). If you're a recent STEM graduate with a curious mind and a passion for solving problems, this could be the perfect start to your career.

The Role:

You'll be joining a Data Engineering team of 12, where you'll get stuck into real projects from day one, no shadowing or sitting on the sidelines. Your role will focus on database development and support, but you'll also get involved in everything from assessing data quality and designing data pipelines, to reporting and helping shape technical delivery for major clients.

They'll invest heavily in your development with a mix of on the job learning and Microsoft certified training, setting you up with in demand technical skills and exposure to industry leading tools.

What You'll Need:

** A 2:1 or above in a STEM subject (Computer Science, Engineering, Mathematics or similar)

** Solid problem solving skills and a technical mindset

** Great communication skills as you'll be working closely with your team and stakeholders

** An eagerness to learn and grow

** knowledge of databases or programming (not essential)

The team has recently shifted to focus entirely on technical delivery, with external partners handling the consulting which gives you room to really upskill as a Data Engineer. It's a flat structure where you'll learn directly from senior engineers.

The office has a really relaxed and sociable culture with regular BBQs and Friday pub lunches and there's even a pool table in the office (if that's your thing). This is a chance to join a really friendly and collaborative team where people genuinely enjoy working here (which their low staff turnover reflects).

The interview process is a pretty straight forward 2 stages. The first stage is made up of a 30 minute intro chat followed by a 1 hour numeracy based problem solving task. The final stage is a chat with the Managing Director and a chance to meet the team.

The office is right next to Haymarket station and tram stop (so it's super easy to get to), and the role is hybrid with 3 days a week in the office and offers a salary ranging from £25,000 to £30,000.

This is a brilliant opportunity for a graduate to kick off their career in a company that offers mentorship, variety, and a clear development path as a Data Engineer.

If this sounds like it could be a good opportunity for you then please apply or reach out to Matthew MacAlpine at Cathcart Technology

Related Jobs

View all jobs

Graduate Data Engineer

Graduate Systems/Data Engineer x 3 - Bristol - Graduate Scheme - Training & Development - New Rol...

Data Analyst - Graduate

Graduate Data Analyst

Data Engineer SQL - Remote (m/w/d)

Interim Head of Data & Analytics

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.