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- Tasks: Build and maintain data pipelines while providing production support in a dynamic setting.
- Company: Join a leading recruitment agency with a focus on innovation and technology.
- Benefits: Permanent position with competitive salary and opportunities for professional growth.
- Why this job: Be part of exciting projects using Palantir Foundry and cutting-edge data technologies.
- Qualifications: 5+ years in Data Engineering, 2+ years with Palantir Foundry, and strong Python skills.
- Other info: Dynamic work environment with a focus on collaboration and career advancement.
The predicted salary is between 60000 - 80000 £ per year.
A prominent recruitment agency is looking for an experienced Data Engineer based in London. The ideal candidate will have over 5 years of experience in Data Engineering and at least 2 years of hands-on experience with Palantir Foundry. Proficiency in Python, PySpark, and AWS services is essential. This permanent position offers the opportunity to work on data pipelines and production support in a dynamic environment.
Palantir Foundry Production Engineer - Data & AI Ops employer: MANNING SERVICES LIMITED
Contact Detail:
MANNING SERVICES LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Palantir Foundry Production Engineer - Data & AI Ops
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Palantir Foundry. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PySpark, and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges related to data pipelines and production support. We all know that hands-on experience is key, so get ready to demonstrate your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals like you to join our dynamic team.
We think you need these skills to ace Palantir Foundry Production Engineer - Data & AI Ops
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Data Engineering and specifically mentions your hands-on work with Palantir Foundry. We want to see how your skills in Python, PySpark, and AWS shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your past projects and how they relate to the job description. We love a good story!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention any challenges you've faced in data pipelines or production support. We’re keen to see how you tackled those issues and what solutions you implemented.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at MANNING SERVICES LIMITED
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, PySpark, and AWS services. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Palantir Foundry Experience
Since the role requires hands-on experience with Palantir Foundry, prepare to talk about your previous work with it. Highlight any data pipelines you've built or production support you've provided, and be ready to explain your thought process.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in a dynamic environment. Think of examples from your past experiences where you had to troubleshoot issues or optimise processes, and be ready to walk the interviewer through your approach.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, or future projects. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.