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- Tasks: Develop high-performance big data applications and manage complex data sets.
- Company: Leading technology consultancy in Greater London with a dynamic work culture.
- Benefits: Career progression opportunities and experience with global clients.
- Why this job: Join a fast-paced environment and make an impact in the world of big data.
- Qualifications: Bachelor's degree in Computer Science and 1-2 years of SQL and Python experience.
- Other info: Exciting projects and a chance to grow your skills in a collaborative team.
The predicted salary is between 28800 - 48000 £ per year.
A technology consultancy in Greater London is seeking a Data Engineer to develop high-performance big data applications and manage complex data sets. The ideal candidate will have a Bachelor's degree in Computer Science or a related field, with 1-2 years of experience in SQL and Python projects. This role offers opportunities for career progression and working with global clients in a dynamic environment.
Data Engineer - Big Data, AWS & Databricks (London) employer: Reply, Inc.
Contact Detail:
Reply, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Big Data, AWS & Databricks (London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This is your chance to demonstrate what you can do, especially if you’ve worked on big data applications or used AWS and Databricks.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising coding challenges and discussing your past projects. Be ready to explain how you tackled complex data sets!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer - Big Data, AWS & Databricks (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as these are key skills for the Data Engineer role. We want to see how your background aligns with what we're looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working with us at StudySmarter and how your skills can contribute to developing high-performance big data applications. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any big data projects or have experience with AWS and Databricks, make sure to mention them in your application. We love seeing practical examples of your work that demonstrate your capabilities and problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Reply, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in SQL and Python, as these are crucial for the role. Brush up on your knowledge of big data applications, AWS, and Databricks, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data sets or performance issues in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Research the Company
Familiarise yourself with the consultancy's projects and clients. Understanding their business model and recent achievements will help you tailor your responses and show genuine interest in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project methodologies, and opportunities for career progression. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
