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, 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 employer: PMG
PMG in London is an exceptional employer that fosters a dynamic and collaborative work culture, where creativity and innovation thrive. Employees benefit from comprehensive professional development opportunities, mentorship from industry leaders, and the chance to work on impactful campaigns that drive real business results. With a focus on teamwork and cross-functional collaboration, PMG offers a unique environment that empowers its team members to excel in their careers while making a meaningful contribution to client success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & AI Engineer - Pipelines & Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data systems and pipelines projects. This is your chance to demonstrate your Python and SQL prowess, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to cloud platforms like AWS. We recommend doing mock interviews with friends or using online resources to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering and software development. We want to see your skills in Python, SQL, and any cloud platforms you've worked with, especially AWS!
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 this role. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any cool data systems or pipelines, don’t hold back! Share specific examples of your work that demonstrate your expertise and problem-solving skills. We love seeing real-world applications!
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, as well as any challenges you faced and how you overcame them.
✨Familiarise Yourself with Cloud Platforms
Since the role involves cloud platforms like AWS, it’s crucial to understand their services and how they relate to data pipelines. Prepare to talk about your experience with cloud technologies and how you've implemented them in past projects.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical questions or case studies during the interview. Think of examples from your previous work where you had to solve complex problems, and explain your thought process clearly.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team dynamics, ongoing projects, or how they measure success in this position. It shows you're genuinely interested!
