At a Glance
- Tasks: Lead the design of Python services and REST APIs in a hybrid work setting.
- Company: Join a top consulting firm with a focus on innovation and collaboration.
- Benefits: Flexible working hours, competitive pay, and opportunities for contract extension.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Shape the future of AI and data while mentoring a talented team.
- Qualifications: Advanced Python skills and experience with CI/CD pipelines required.
The predicted salary is between 70000 - 90000 € per year.
RAW Search is collaborating with a leading consulting firm to find a Lead Python Engineer in Greater London. The role entails leading the design of Python services and REST APIs, managing code repositories, and enforcing best practices in a hybrid working environment.
Ideal candidates should have:
- Advanced Python experience
- Strong knowledge of CI/CD pipelines
- Relational experience in mentoring within a team
This contract role can extend from 3 to 12 months.
Lead Python Engineer for AI & Data (Hybrid UK) employer: RAW Search
RAW Search offers an exceptional work environment for the Lead Python Engineer role, fostering a culture of innovation and collaboration in the heart of Greater London. Employees benefit from flexible hybrid working arrangements, competitive remuneration, and ample opportunities for professional development and mentorship, making it an ideal place for those seeking to advance their careers in AI and data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Python Engineer for AI & Data (Hybrid UK)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python or AI. 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 profile showcasing your Python projects and contributions. This is a great way to demonstrate your expertise and passion for coding, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to Python, CI/CD, and team mentoring. We want you to feel confident and ready to impress!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, we’re here to support you every step of the way in landing that dream job.
We think you need these skills to ace Lead Python Engineer for AI & Data (Hybrid UK)
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your advanced Python experience in your application. We want to see how you've used Python in real-world projects, especially when it comes to designing services and APIs.
CI/CD Knowledge is Key:Don’t forget to mention your strong knowledge of CI/CD pipelines. We’re looking for someone who can streamline our processes, so share any relevant experiences that showcase your expertise in this area.
Mentorship Matters:If you’ve got experience mentoring others, let us know! We value team collaboration and leadership, so share examples of how you’ve guided your teammates in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at RAW Search
✨Know Your Python Inside Out
Make sure you brush up on your advanced Python skills. Be ready to discuss your experience with Python services and REST APIs in detail. Prepare to showcase specific projects where you've implemented these technologies.
✨Showcase Your CI/CD Knowledge
Since the role requires strong knowledge of CI/CD pipelines, be prepared to explain how you've used these in past projects. Discuss any tools you've worked with and how they improved your workflow or team efficiency.
✨Mentorship Matters
As a Lead Engineer, mentoring is key. Think of examples where you've guided team members or led a project. Be ready to share your approach to mentoring and how it has positively impacted your team.
✨Embrace the Hybrid Environment
With this role being hybrid, demonstrate your adaptability to different working environments. Share experiences where you've successfully collaborated with remote teams or managed projects across various locations.
