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- Tasks: Support and enhance data engineering processes using Palantir and AWS technologies.
- Company: Join a leading tech firm in London with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering and make a significant impact.
- Qualifications: 5+ years in data engineering and hands-on experience with Palantir.
- Other info: Dynamic team environment with a strong emphasis on collaboration and problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, United Kingdom
Employment Type: Permanent to start as soon as possible
Experience:
- 5+ years in Data Engineering with relevant experience in production support
- 2+ years hands-on experience in Palantir
- Strong experience with Palantir Foundry (Code Repositories, Workshop, AIP Logic and Automate)
- Proficiency in Python and PySpark or TypeScript
- Experience with AWS services (S3, Lambda, Glue, etc.)
- Solid understanding of data pipeline architecture and ETL processes
- Experience in troubleshooting and production support environments
- Familiarity with Gen AI based workflows, API integrations and orchestration
- Good problem-solving and communication skills
Production Support Palantir Data Engineer in London employer: MANNING SERVICES LIMITED
Contact Detail:
MANNING SERVICES LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production Support Palantir Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Palantir or data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! If you’ve got experience with AWS services or Palantir Foundry, make sure to highlight that in conversations. Share specific examples of how you've tackled production support challenges.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PySpark skills. We all know that hands-on experience speaks volumes, so be ready to demonstrate your problem-solving abilities with real-world scenarios.
✨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 Production Support Palantir Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering and production support. We want to see how your skills with Palantir and AWS services shine through, so don’t hold back!
Showcase Your Projects: Include specific examples of projects where you've used Palantir Foundry or worked with data pipelines. We love seeing real-world applications of your skills, especially if they relate to troubleshooting and production support.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for data engineering and how your problem-solving skills have made a difference in your previous roles.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at MANNING SERVICES LIMITED
✨Know Your Palantir Inside Out
Make sure you brush up on your Palantir Foundry skills, especially Code Repositories and AIP Logic. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Show Off Your Python and PySpark Skills
Prepare to demonstrate your proficiency in Python and PySpark. You might be asked to solve a coding problem or explain how you've used these languages in past projects, so have some examples ready that highlight your expertise.
✨Understand Data Pipeline Architecture
Familiarise yourself with data pipeline architecture and ETL processes. Be prepared to discuss how you've designed or optimised data pipelines in previous roles, and think about any specific AWS services you've integrated into your workflows.
✨Problem-Solving Scenarios
Expect to tackle some troubleshooting scenarios during the interview. Think of examples from your experience where you had to resolve production support issues, and be ready to explain your thought process and the steps you took to find a solution.