Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to tackle data challenges and develop innovative solutions.
- Company: A tech-focused company with 20 years of success, based in Edinburgh.
- Benefits: Enjoy hybrid working, career growth opportunities, and a supportive team environment.
- Why this job: Kickstart your career in a collaborative culture that values curiosity and problem-solving.
- Qualifications: Recent STEM graduates with a passion for data and technology are encouraged to apply.
- Other info: Be part of a growing team and make a real impact in the tech industry.
The predicted salary is between 28800 - 43200 £ 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.
Graduate Data Engineer employer: Cathcart Technology
Contact Detail:
Cathcart Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Engineer
✨Tip Number 1
Familiarise yourself with the latest data engineering tools and technologies. Being knowledgeable about platforms like Apache Spark, Hadoop, or cloud services such as AWS can set you apart from other candidates.
✨Tip Number 2
Engage with the data engineering community online. Join forums, attend webinars, or participate in relevant social media groups to network and learn from industry professionals. This can provide valuable insights and connections.
✨Tip Number 3
Showcase your problem-solving skills through personal projects or contributions to open-source initiatives. Having tangible examples of how you've tackled data challenges can impress potential employers.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and data structure problems. Websites like LeetCode or HackerRank can help you sharpen your skills and boost your confidence before the interview.
We think you need these skills to ace Graduate Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand what the company is looking for in a Graduate Data Engineer. Highlight the skills and experiences that align with their requirements.
Tailor Your CV: Customise your CV to reflect your relevant skills, projects, and experiences related to data engineering. Use keywords from the job description to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and problem-solving. Mention specific projects or experiences that demonstrate your capabilities and enthusiasm for the role.
Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in data engineering.
How to prepare for a job interview at Cathcart Technology
✨Show Your Passion for Data
Make sure to express your enthusiasm for data engineering during the interview. Share any personal projects or experiences that demonstrate your curiosity and problem-solving skills in this field.
✨Brush Up on Technical Skills
Since this role is technical, be prepared to discuss your knowledge of programming languages and data manipulation tools. Review key concepts in SQL, Python, or any relevant technologies that may come up during the interview.
✨Prepare Questions About the Team
Demonstrate your interest in the company by preparing thoughtful questions about the Data Engineering team. Ask about their current projects, challenges they face, and how you can contribute to their success.
✨Highlight Your STEM Background
As a recent STEM graduate, make sure to highlight relevant coursework or projects that relate to data engineering. This will help the interviewers see how your academic background aligns with the role.
