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- Tasks: Design and develop high-performance data applications in the financial services sector.
- Company: Join the innovative Affinity Reply team in London.
- Benefits: Extensive training, structured career progression, and a competitive salary.
- Why this job: Kickstart your career in tech with real-world impact and growth opportunities.
- Qualifications: Minimum 2.1 Bachelor's degree in Computer Science or related field, strong SQL and Python skills.
The predicted salary is between 28000 - 38000 £ per year.
Reply is seeking a Graduate Data Engineer to join the Affinity Reply team in London. You will design and develop high-performance data applications, manage complex data sets, and work across the full development lifecycle in the financial services sector.
Candidates should have a minimum 2.1 Bachelor's degree in Computer Science or related field, strong skills in SQL and Python, and an interest in technology and consulting.
The role offers extensive training and structured career progression, with a start date of September 2026.
Graduate Data Engineer: Pipelines & Cloud (London) employer: Reply
Contact Detail:
Reply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Engineer: Pipelines & Cloud (London)
✨Tip Number 1
Network like a pro! Reach out to current employees at Reply or similar companies on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects in SQL and Python. This is a great way for us to demonstrate our technical abilities and passion for data engineering.
✨Tip Number 3
Prepare for the interview! Research common data engineering interview questions and practice coding challenges. We want to be ready to impress with our problem-solving skills and knowledge of data pipelines.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to highlight how our skills align with the Graduate Data Engineer role.
We think you need these skills to ace Graduate Data Engineer: Pipelines & Cloud (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you can use these tools to tackle real-world problems, so don’t hold back on sharing relevant projects or experiences!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We’re looking for candidates who are genuinely interested in the financial services sector, so connect your background and interests to what we do at Affinity Reply.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the Graduate Data Engineer position.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Reply
✨Know Your Tech
Brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Financial Sector
Familiarise yourself with the financial services sector and how data engineering plays a role in it. This will show your genuine interest in the field and help you connect your skills to the company's needs.
✨Showcase Your Problem-Solving Skills
Prepare to discuss examples of how you've tackled complex data problems in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and training opportunities at Reply. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.