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- Tasks: Join a dynamic team as a Graduate Data Engineer, tackling real projects from day one.
- Company: A tech-focused company with 20+ years of success, based in Edinburgh.
- Benefits: Enjoy hybrid work, mentorship, and Microsoft certified training to boost your skills.
- Why this job: Be part of a friendly culture with BBQs, pub lunches, and a relaxed office vibe.
- Qualifications: Must have a 2:1 or above in a STEM subject and a passion for problem-solving.
- Other info: Easy access via Haymarket station; salary ranges from £25,000 to £30,000.
The predicted salary is between 25000 - 30000 £ per year.
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.
Graduate Data Engineer in Edinburgh employer: Cathcart Technology
Contact Detail:
Cathcart Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Engineer in Edinburgh
✨Tip Number 1
Familiarise yourself with common data engineering tools and technologies. Even if you don't have extensive experience, showing that you've done your homework on databases and programming languages relevant to the role can set you apart.
✨Tip Number 2
Prepare for the numeracy-based problem-solving task by practising similar problems. Brush up on your analytical skills and be ready to demonstrate your thought process during the interview.
✨Tip Number 3
Showcase your communication skills by being clear and concise in your discussions. Since you'll be working closely with a team, demonstrating your ability to articulate ideas and collaborate effectively is crucial.
✨Tip Number 4
Express your eagerness to learn and grow during the interview. Highlight any relevant projects or experiences where you've taken the initiative to develop your skills, as this aligns perfectly with the company's focus on mentorship and development.
We think you need these skills to ace Graduate Data Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your STEM degree and any relevant projects or coursework related to data engineering. Emphasise problem-solving skills and any experience with databases or programming, even if it's minimal.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your eagerness to learn. Mention specific reasons why you want to join this company and how you align with their culture and values.
Showcase Your Communication Skills: In your application, demonstrate your communication skills by clearly articulating your thoughts and experiences. Use concise language and ensure your writing is free of jargon, making it easy for the reader to understand your points.
Prepare for the Interview: Since the interview process includes a numeracy-based problem-solving task, brush up on your analytical skills. Practice common data-related problems and be ready to discuss your thought process during the interview.
How to prepare for a job interview at Cathcart Technology
✨Brush Up on Your Problem-Solving Skills
Since the interview includes a numeracy-based problem-solving task, it's crucial to practice similar problems beforehand. Familiarise yourself with common data engineering challenges and think through your approach to solving them.
✨Showcase Your Communication Skills
You'll be working closely with your team and stakeholders, so demonstrating strong communication skills is key. Be prepared to explain your thought process clearly during the interview and engage in discussions about your ideas.
✨Express Your Eagerness to Learn
The company values candidates who are keen to grow and develop their skills. Make sure to convey your enthusiasm for learning new technologies and methodologies, and share examples of how you've pursued knowledge in the past.
✨Familiarise Yourself with Databases
While knowledge of databases or programming isn't essential, having a basic understanding can set you apart. Brush up on database concepts and be ready to discuss any relevant coursework or projects you've completed during your studies.
