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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: Attractive salary, flexible working options, and continuous learning opportunities.
- Why this job: Be at the forefront of data engineering and drive impactful solutions.
- Qualifications: 5+ years in Data Engineering with strong Palantir and Python skills.
- Other info: Dynamic team environment with great potential for career advancement.
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 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 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 lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! If you’ve got experience with Palantir Foundry, Python, or AWS, make sure to highlight that in conversations. Share specific examples of how you've tackled challenges in production support.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your approach to troubleshooting data pipelines and ETL processes.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Palantir Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Palantir and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects and achievements!
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 aligns with what we’re looking for. Keep it engaging and personal!
Showcase Your Technical Skills: Since this role requires strong technical expertise, make sure to mention your proficiency in Python, PySpark, and AWS services. We love seeing specific examples of how you've used these skills in past 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’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 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 during the interview. 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 to go.
✨Understand Data Pipeline Architecture
Brush up on your knowledge of data pipeline architecture and ETL processes. Be prepared to discuss how you've designed or optimised data pipelines in previous roles, and think about how you can apply that experience to the role at hand.
✨Communicate Clearly and Confidently
Good communication is key, especially when discussing complex technical topics. Practice explaining your past experiences and technical concepts in a clear and concise manner, as this will help you stand out as a candidate who can effectively collaborate with others.