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- Tasks: Enhance data orchestration pipelines and develop observability for ML applications using Python.
- Company: Leading technology firm with a focus on innovation and collaboration.
- Benefits: Generous compensation, remote flexibility, and a supportive work environment.
- Why this job: Join a dynamic team to work on AI features and mentor peers while growing your skills.
- Qualifications: Strong backend engineering skills and a passion for continuous learning.
- Other info: Exciting opportunities for career advancement in a tech-driven environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm is seeking a skilled software developer to enhance their data orchestration pipeline using Python. Join the Data Intelligence Team to work on AI features, develop observability for ML applications, and mentor peers.
The role offers remote flexibility, a supportive work environment, and generous compensation along with various benefits.
Ideal candidates have strong backend engineering skills and a passion for continuous learning.
Lead Python Backend Engineer - Processing & Observability in City of London employer: Mimica
Contact Detail:
Mimica Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Python Backend Engineer - Processing & Observability in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the tech industry, especially those working with Python and data orchestration. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to backend engineering and AI features. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common coding challenges and be ready to discuss your past experiences, especially mentoring peers and developing observability for ML applications.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly helps us see your enthusiasm. Plus, it’s a great way to get noticed by our hiring team!
We think you need these skills to ace Lead Python Backend Engineer - Processing & Observability in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your backend engineering skills and experience with Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for continuous learning and how you can contribute to our Data Intelligence Team. Let us know why you’re excited about the role and what makes you a great fit.
Showcase Your Projects: If you've worked on any cool projects related to data orchestration or ML applications, make sure to mention them! We love seeing practical examples of your work, especially if they demonstrate your problem-solving skills and creativity.
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 Mimica
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with data orchestration and any relevant frameworks you've used. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Showcase Your AI Knowledge
Since the role involves working on AI features, be prepared to talk about your understanding of machine learning concepts. Share examples of projects where you've implemented ML applications or observability tools, highlighting your contributions and the impact they had.
✨Prepare for Technical Questions
Expect technical questions that assess your backend engineering skills. Review common algorithms, data structures, and system design principles. We recommend practising mock interviews with a friend or using online platforms to get comfortable with the format.
✨Emphasise Continuous Learning
The ideal candidate is passionate about continuous learning, so be ready to discuss how you stay updated with industry trends. Mention any courses, certifications, or personal projects that showcase your commitment to growth in the tech field.
