At a Glance
- Tasks: Build API-driven services and optimise time-series data queries.
- Company: Join a forward-thinking tech company in Watford.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Other info: Work on high-throughput systems with Azure Functions or Docker.
- Why this job: Make an impact on real-time data platforms with cutting-edge technology.
- Qualifications: Experience in Python, backend engineering, and data modelling.
The predicted salary is between 60000 - 80000 € per year.
djr is looking for a Senior Python Engineer in Watford to contribute to a real-time data platform. The role emphasizes backend engineering rather than data science, focusing on building API-driven services and handling time-series data.
Ideal candidates will demonstrate experience in:
- Designing data models for time-based querying
- Optimising queries for large datasets
This hybrid position provides the opportunity to work on high-throughput ingestion systems and deploy services using Azure Functions or Docker on AKS.
Senior Python Backend Engineer - Real-Time Time-Series in Watford employer: djr
At djr, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Watford location provides a vibrant environment with ample opportunities for professional growth, including access to cutting-edge technologies and projects that challenge your skills. We value our employees' contributions and support their development through continuous learning and mentorship, making it a rewarding place to advance your career in backend engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Backend Engineer - Real-Time Time-Series in Watford
✨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! If you’ve got a GitHub or personal project showcasing your Python prowess, make sure to highlight it during interviews. It’s a great way to demonstrate your hands-on experience with backend engineering.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data models and query optimisation techniques. Practise coding challenges that focus on real-time data handling to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you a better chance of standing out in the crowd.
We think you need these skills to ace Senior Python Backend Engineer - Real-Time Time-Series in Watford
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python in your application. We want to see how you've used it to build API-driven services and handle time-series data, so don’t hold back!
Talk About Your Backend Experience:Since this role is all about backend engineering, let us know about your previous projects. Share specific examples of how you've designed data models for time-based querying and optimised queries for large datasets.
Mention Your Cloud Knowledge:If you’ve worked with Azure Functions or Docker on AKS, we’d love to hear about it! Include any relevant experiences that showcase your ability to deploy services effectively.
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 get to know you better. Don’t miss out on this opportunity!
How to prepare for a job interview at djr
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around backend development. Be ready to discuss your experience with API-driven services and how you've handled time-series data in past projects.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience designing data models for time-based querying. Have examples ready that demonstrate how you've optimised queries for large datasets, as this will be crucial for the role.
✨Familiarise Yourself with Azure and Docker
Since the position involves deploying services using Azure Functions or Docker on AKS, make sure you understand these technologies. You might be asked about your experience with them, so having practical examples will help you stand out.
✨Practice Problem-Solving Scenarios
Expect technical questions that test your problem-solving abilities. Practise coding challenges related to backend engineering and time-series data handling, as this will show your analytical skills and readiness for the role.
