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- Tasks: Join a dynamic team as a Graduate Data Engineer, working on exciting Financial Services projects.
- Company: Be part of a leading firm known for innovation in Data Engineering.
- Benefits: Enjoy a competitive salary of £33k plus bonuses and a supportive work environment.
- Why this job: Take ownership of projects and work with cutting-edge technologies like Python, SQL, and Spark.
- Qualifications: Must have a 1st Class BSc STEM Degree and experience with an OOP language.
- Other info: This role is based in Newcastle and requires UK residency.
The predicted salary is between 19800 - 46200 £ per year.
One of OB's top clients are currently hiring for a Data Engineering Graduate scheme, and are looking for a number of top graduates to join the program.
You will primarily be working on Financial Services projects, using the latest, cutting edge technologies within Data Engineering, and will be encouraged to take ownership on projects from the off.
Required skills and experience:- 1st Class BSc STEM Degree from a Russell Group University
- Minimum of 3 A's at A-Level
- Experience with an OOP Language (Java, Python or C#)
You must be UK based, and sadly PSW Visa's aren't accepted, as visa sponsorship isn't available long term.
Graduate Data Engineer employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Engineer
✨Tip Number 1
Familiarise yourself with the latest technologies in data engineering, particularly Python, SQL, and Spark. Being able to discuss these tools confidently during your interview will show your enthusiasm and readiness for the role.
✨Tip Number 2
Engage with online communities or forums related to data engineering. Networking with professionals in the field can provide insights into the industry and may even lead to referrals or recommendations.
✨Tip Number 3
Prepare to discuss any relevant projects or coursework from your degree that involved data engineering concepts. Highlighting your practical experience will demonstrate your capability and eagerness to take ownership of projects.
✨Tip Number 4
Research the company and its recent projects in financial services. Showing that you understand their work and how you can contribute will set you apart from other candidates.
We think you need these skills to ace Graduate Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 1st Class BSc STEM Degree and any relevant experience with Python, SQL, or Spark. Emphasise your academic achievements, particularly your A-Level results, to align with the job requirements.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of financial services projects. Mention specific technologies you’ve worked with and how they relate to the role.
Showcase Relevant Projects: If you have completed any projects or coursework involving data engineering or programming in an OOP language, be sure to include these in your application. Detail your contributions and the technologies used.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SQL, and any OOP languages you've worked with. Be prepared to discuss specific projects where you applied these skills, as this will demonstrate your technical competence.
✨Understand Financial Services
Since you'll be working on Financial Services projects, it’s beneficial to have a basic understanding of the industry. Research common data challenges in finance and think about how your skills can address them.
✨Demonstrate Ownership
The role encourages taking ownership of projects, so be ready to share examples from your academic or personal projects where you led initiatives. This shows your ability to take responsibility and drive results.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios during the interview. Practice coding challenges or data engineering problems that require analytical thinking, as this will help you stand out as a candidate who can tackle real-world issues.
