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- Tasks: Create data pipelines and analytics for mortgage-based securities using Python and PySpark.
- Company: Global technical services company with a focus on innovation and growth.
- Benefits: Salary up to £100k, health insurance, 25 days holiday, and continuous learning opportunities.
- Why this job: Join a dynamic team and tackle exciting technical challenges in a hybrid work environment.
- Qualifications: Strong Python skills and experience with large data sets and CI/CD.
- Other info: Great career growth potential in a supportive and collaborative atmosphere.
The predicted salary is between 60000 - 84000 £ per year.
A global technical services company is seeking a Data Software Engineer with strong Python skills for a hybrid role based in Nottingham. In this hands-on position, you will tackle technical challenges in creating data pipelines and analytics for mortgage-based securities.
The ideal candidate has experience with large data sets and technologies like PySpark and CI/CD.
The role offers a salary of up to £100k plus benefits including health insurance and 25 days holiday, and encourages continuous learning and career growth.
Data Software Engineer (Python/Spark) — Hybrid, Growth & Impact in Nottingham employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Software Engineer (Python/Spark) — Hybrid, Growth & Impact in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and PySpark projects. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on data pipelines and analytics concepts. Practise coding challenges related to large data sets to ensure you're ready to impress during the interview.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Software Engineer (Python/Spark) — Hybrid, Growth & Impact in Nottingham
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in real projects, especially with large data sets. Don't hold back on showcasing any cool data pipelines you've built!
Get Technical with PySpark: If you've got experience with PySpark, let us know! We’re keen on seeing how you’ve tackled challenges using this technology. Share specific examples of how you've implemented it in your work.
CI/CD is Key: Mention any experience you have with CI/CD processes. We love candidates who understand the importance of continuous integration and delivery in software development. It shows you're ready for a hands-on role like this one!
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 don’t miss out on any important updates. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Client Server
✨Know Your Tech Stack
Make sure you brush up on your Python and PySpark skills before the interview. Be ready to discuss your experience with large data sets and how you've tackled technical challenges in the past. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've created data pipelines or solved complex analytics problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your thought process and impact.
✨Understand CI/CD Practices
Since the role involves CI/CD, be ready to discuss your experience with continuous integration and deployment. Talk about any tools you've used and how they improved your workflow. This will demonstrate your commitment to best practices in software development.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's approach to data engineering and their future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career growth goals.
