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- Tasks: Support and enhance data engineering processes using Palantir and AWS technologies.
- Company: Leading tech firm in London focused on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and work with cutting-edge data technologies to solve real-world problems.
- Qualifications: 5+ years in Data Engineering, hands-on Palantir experience, and strong Python skills.
- Other info: Exciting opportunity for career advancement in a fast-paced environment.
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 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Palantir. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving Palantir Foundry and AWS services. This gives potential employers a taste of what you can do.
✨Tip Number 3
Ace the interview! Brush up on your problem-solving skills and be ready to discuss your experience with production support environments. Practice common interview questions related to data pipelines and ETL processes.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're serious about joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Production Support Palantir Data Engineer
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.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so make sure you communicate your problem-solving skills and relevant experience without fluff.
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 as soon as possible!
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.
✨Communicate Clearly and Confidently
Good communication is key, especially when troubleshooting in production support environments. Practice explaining complex technical concepts in simple terms, and be ready to share how you've collaborated with teams to resolve issues effectively.