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- Tasks: Support and optimise data pipelines using Palantir and AWS technologies.
- Company: Join a leading analytics firm in the heart of London.
- Benefits: Permanent position with competitive salary and growth opportunities.
- Why this job: Be at the forefront of data engineering and innovation in a dynamic environment.
- Qualifications: 5+ years in Data Engineering, 2+ years with Palantir, and strong Python skills.
- Other info: Collaborative team culture with a focus on problem-solving and communication.
The predicted salary is between 60000 - 80000 £ per year.
Role Title: Production Support Palantir Data Engineer
BU/Segment: Analytics / Data Management / Insurance
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
Palantir Data Engineer in City of London employer: MANNING SERVICES LIMITED
Contact Detail:
MANNING SERVICES LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Palantir Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Palantir or in data engineering. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Python, PySpark, or AWS, make sure to highlight specific projects or challenges you've tackled. Real-world examples can make you stand out in interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and production support. Mock interviews with friends or using online platforms can help you nail your responses.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining us. Plus, it shows you're proactive and really interested in the role.
We think you need these skills to ace Palantir Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering and specifically mentions your hands-on work with Palantir. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background in production support and data pipelines makes you a perfect fit for us at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, PySpark, or TypeScript, as well as your experience with AWS services. We love seeing candidates who can demonstrate their technical prowess clearly and confidently.
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 to do!
How to prepare for a job interview at MANNING SERVICES LIMITED
✨Know Your Palantir Inside Out
Make sure you’re well-versed in Palantir Foundry, especially the Code Repositories, Workshop, AIP Logic, and Automate features. Brush up on your hands-on experience and be ready to discuss specific projects where you’ve used these tools.
✨Showcase Your Data Pipeline Expertise
Prepare to talk about your understanding of data pipeline architecture and ETL processes. Have examples ready that demonstrate how you've designed or optimised data pipelines in previous roles, particularly in production support environments.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical troubleshooting scenarios during the interview. Think through your approach to resolving issues in production support and articulate your thought process clearly.
✨Familiarity with AWS is Key
Since the role requires experience with AWS services like S3, Lambda, and Glue, make sure you can discuss how you’ve integrated these services into your data engineering workflows. Highlight any relevant projects that showcase your proficiency.