At a Glance
- Tasks: Design and maintain data systems and pipelines for AI operations.
- Company: PMG, a leading organisation in Greater London focused on innovation.
- Benefits: Generous annual leave, competitive pension plan, and professional development opportunities.
- Other info: Exciting career growth in a collaborative environment.
- Why this job: Join a dynamic team and shape the future of data and AI.
- Qualifications: 5+ years in software or data engineering, strong Python and SQL skills.
The predicted salary is between 60000 - 80000 € per year.
PMG in Greater London is seeking an AI & Software Engineer III to design and maintain data systems and pipelines that support data and AI operations across the organization.
Candidates should have at least 5 years of software or data engineering experience, strong skills in Python and SQL, and familiarity with cloud platforms like AWS.
The position offers professional development opportunities, generous annual leave, and a competitive pension plan.
Senior Data & AI Engineer - Pipelines & Cloud in London employer: PMG
PMG in Greater London is an exceptional employer that prioritises professional growth and development for its employees, offering a dynamic work culture where innovation thrives. With generous annual leave and a competitive pension plan, PMG ensures a supportive environment that values work-life balance while empowering its team to excel in cutting-edge data and AI projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & AI Engineer - Pipelines & Cloud in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud solutions. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, SQL, and cloud platforms like AWS. Practise coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data & AI Engineer - Pipelines & Cloud in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering and AI. We want to see how your skills in Python, SQL, and cloud platforms like AWS align with what we're looking for.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about data and AI, and how your background makes you the perfect fit for our team. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any cool projects related to data systems or pipelines, don’t hold back! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at PMG
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, and think about how you can demonstrate your problem-solving abilities with real-world examples.
✨Familiarise Yourself with Cloud Platforms
Since the role involves cloud technologies, take some time to review AWS services relevant to data pipelines. Be prepared to talk about your experience with cloud platforms and how you've leveraged them in past projects.
✨Showcase Your Data Pipeline Experience
Prepare to discuss your experience designing and maintaining data systems and pipelines. Think of a few key projects that highlight your skills in this area, and be ready to explain the challenges you faced and how you overcame them.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy and how the role fits into their overall goals. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
