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- Tasks: Build and maintain data pipelines while providing production support.
- Company: Leading recruitment agency seeking top talent in Data Engineering.
- Benefits: Permanent position with competitive salary and dynamic work environment.
- Why this job: Join a cutting-edge team and enhance your skills in Data Engineering.
- Qualifications: 5+ years in Data Engineering, 2+ years with Palantir Foundry, Python and AWS expertise.
- Other info: Exciting opportunity for career growth in a fast-paced industry.
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 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 Foundry Production Engineer - Data & AI Ops in London
✨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 make sure you're 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 often have exclusive opportunities that you won’t find elsewhere. So, get your application in and let’s land that job together!
We think you need these skills to ace Palantir Foundry Production Engineer - Data & AI Ops in London
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. Let’s get started on this journey together!
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 Palantir Foundry, Python, PySpark, and AWS services. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience and technical prowess.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data engineering. Think about times when you had to troubleshoot production issues or optimise data pipelines, as this will demonstrate your ability to thrive in a dynamic environment.
✨Understand the Company Culture
Research the recruitment agency and their client’s values and work culture. Being able to articulate why you’re a good fit for their team can set you apart from other candidates. Show that you’re not just about the tech but also about fitting into their ethos.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. This could include inquiries about their current data projects or how they measure success in the Data & AI Ops team. It shows your genuine interest and helps you assess if it’s the right fit for you.