Graduate Data Engineer

Cathcart Technology
Edinburgh
9 months ago
Applications closed

Related Jobs

View all jobs

Graduate Data Engineer

Graduate Data Engineer

Graduate Data Engineer - Hybrid, Insights & Automation

Data Engineering Graduate

Junior Data Engineer: Scale Big Data Pipelines

Snowflake Data Engineer

An established and tech focused company with over 20 years of industry success is looking for a bright and ambitiousGraduate Data Engineerto join their growing team inEdinburgh (hybrid). If you're a recentSTEM graduatewith 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 ondatabase development and support, but you'll also get involved in everything fromassessing data qualityand designingdata pipelines, toreportingand helping shape technical delivery formajor clients.

They'll invest heavily in your development with a mix ofon the job learningandMicrosoft certified training, setting you up with in demand technical skills andexposure 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 ontechnical 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'lllearn directly from senior engineers.

The office has a reallyrelaxed and sociable culturewith 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 toHaymarketstation and tram stop (so it's super easy to get to), and the role ishybridwith3 days a week in the officeand 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

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

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

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

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 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.