At a Glance
- Tasks: Build API-driven backend services and develop event-driven microservices in Python.
- Company: Join a forward-thinking tech company focused on real-time data solutions.
- Benefits: Competitive daily rate, hybrid work model, and contract flexibility.
- Other info: Exciting opportunity to work with Azure technologies and large datasets.
- Why this job: Make an impact on cutting-edge projects in a dynamic tech environment.
- Qualifications: Strong Python backend experience and knowledge of event-driven architectures.
We’re hiring a Senior Python Engineer with proven time-series experience to work on a real-time data platform.
This is a backend engineering role focused on event-driven systems and time-series data. It is not a data science or analytics position.
What You’ll Be Doing
- Building API-driven backend services in Python
- Developing event-driven microservices using Azure Service Bus
- Working on high-throughput ingestion and processing systems
- Deploying services via Azure Functions or Docker on AKS
Core Requirements (Non-Negotiable)
- Strong Python backend engineering experience
Demonstrable experience:
- Designing data models for time-based querying
- Optimising queries and handling large datasets
- Working within event-driven architectures
Tech Environment
- Python
- Azure (Functions, AKS, Storage)
- Azure Service Bus
- ADX / Kusto or InfluxDB
- Docker / Kubernetes
Scientific Python Engineer in Watford employer: djr
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a Senior Python Engineer will directly impact the development of cutting-edge real-time data platforms. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work with advanced technologies in a hybrid environment located in Watford, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Scientific Python Engineer in Watford
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with Python and Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those involving event-driven architectures or time-series data. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for technical interviews by brushing up on your backend engineering knowledge. Practice coding challenges related to Python and microservices, and be ready to discuss your experience with Azure and Docker in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Scientific Python Engineer in Watford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your strong Python backend engineering experience and any relevant time-series projects. We want to see how your skills match the job description, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your experience with event-driven architectures and how you’ve tackled high-throughput systems in the past.
Showcase Relevant Projects:If you've worked on any projects involving Azure or Docker, make sure to include them in your application. We love seeing real-world examples of your work, especially if they relate to building API-driven backend services!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates from us. Don’t miss out!
How to prepare for a job interview at djr
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in backend engineering. Be ready to discuss your experience with API-driven services and how you've tackled challenges in event-driven architectures.
✨Familiarise Yourself with Azure
Since the role involves Azure Functions and AKS, it’s crucial to understand these technologies. Prepare to talk about any projects where you've used Azure Service Bus or deployed services using Docker.
✨Showcase Your Time-Series Expertise
Be prepared to discuss your experience with time-series data. Think of specific examples where you've designed data models for time-based querying and optimised queries for large datasets.
✨Practice Problem-Solving Scenarios
Expect technical questions that test your problem-solving skills. Practice coding challenges related to high-throughput ingestion and processing systems to demonstrate your ability to think on your feet.
