At a Glance
- Tasks: Build and maintain cloud infrastructure while collaborating with data scientists.
- Company: Leading data analytics company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on impactful data-driven projects.
- Qualifications: 2-4 years of software engineering experience with AWS and Python skills.
- Other info: Exciting challenges await in a collaborative and rewarding environment.
The predicted salary is between 45000 - 54000 £ per year.
A data analytics company in the United Kingdom is seeking a Software Engineer with expertise in AWS and Python to strengthen their AI & Data Ops team. The role involves building and maintaining pivotal internal systems and cloud infrastructure while collaborating with data scientists and engineers.
Ideal candidates will have 2–4 years of experience in software engineering, strong technical skills, and a collaborative mindset. This position promises a challenging yet rewarding environment to contribute to data-driven projects.
Production AI & Data Ops Engineer (Python/AWS) in England employer: Oxford Data Plan
Contact Detail:
Oxford Data Plan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI & Data Ops Engineer (Python/AWS) in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and Data Ops. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects or any AWS work you've done. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding cloud infrastructure. Practice common algorithms and data structures, and don’t forget to review AWS services relevant to the role!
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your talents directly to us. Plus, it shows you're genuinely interested in joining our team and contributing to exciting data-driven projects.
We think you need these skills to ace Production AI & Data Ops Engineer (Python/AWS) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AWS. We want to see how your skills align 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 explain why you’re excited about joining our AI & Data Ops team and how your collaborative mindset can contribute to our data-driven projects.
Showcase Your Technical Skills: Don’t forget to mention any specific tools or technologies you’ve worked with that relate to the job. We love seeing candidates who are passionate about tech and can bring their expertise to our team!
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’re considered for this exciting opportunity in our team!
How to prepare for a job interview at Oxford Data Plan
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Show Your Collaborative Spirit
Since this role involves working closely with data scientists and engineers, be prepared to share examples of how you've successfully collaborated in the past. Highlight your teamwork skills and how you contribute to a positive team dynamic.
✨Understand the Company’s Data Vision
Do some research on the company’s data-driven projects and their overall mission. This will not only help you answer questions more effectively but also show your genuine interest in contributing to their goals.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or system design scenarios related to AI and data operations, as this will demonstrate your analytical thinking and technical prowess.