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For Companies At a Glance
- Tasks: Develop and optimise data pipelines using PySpark for impactful projects.
- Company: Join a dynamic team at Palantir in vibrant Soho.
- Benefits: Competitive salary of £75K plus share options and hybrid work.
- Why this job: Make a meaningful impact while collaborating with innovative teams.
- Qualifications: Strong analytical skills and passion for data engineering required.
- Other info: Supportive environment with opportunities for continuous learning and growth.
The predicted salary is between 45000 - 105000 £ per year.
Job Description
Data Engineer – PySpark – Palantir – London – £75K
Join a dynamic team dedicated to innovative data solutions in Soho! We are seeking a Data Engineer with expertise in PySpark to play a pivotal role as the team and business grow. This permanent, hybrid position offers a unique opportunity to contribute to impactful projects while enjoying a supportive and collaborative work environment.Key Responsibilities:- Develop and optimise data pipelines using PySpark to ensure efficient data processing- Collaborate with cross-functional teams to deliver high-quality, data-driven insights- Engage in continuous learning and implement best practices in data management- Participate in the deployment and maintenance of data solutions within the Microsoft ecosystemThe ideal candidate will have strong analytical skills and a passion for data engineering. You will thrive in a setting that values innovation and teamwork.
Salary is up to £75,000 plus share options.If you are ready to make a meaningful impact and grow your career, we encourage you to apply for this exciting opportunity!
Data Engineer - PySpark - Palantir - London - £75K employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - PySpark - Palantir - London - £75K
✨Tip Number 1
Network like a pro! Reach out to current employees at Palantir or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your PySpark expertise. This hands-on demonstration can really set you apart during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. Mock interviews with friends or using online platforms can help boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer - PySpark - Palantir - London - £75K
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PySpark and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our innovative team. Keep it engaging and personal – we love to see your personality!
Showcase Your Analytical Skills: In your application, give examples of how you've used your analytical skills in past roles. We’re looking for someone who can tackle complex data challenges, so share specific instances where you’ve made an impact.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Tenth Revolution Group
✨Know Your PySpark Inside Out
Make sure you brush up on your PySpark skills before the interview. Be ready to discuss how you've developed and optimised data pipelines in the past. Prepare to share specific examples of projects where you've used PySpark to solve real-world problems.
✨Showcase Your Collaborative Spirit
Since the role involves working with cross-functional teams, be prepared to talk about your experiences collaborating with others. Think of instances where you contributed to team success or helped bridge gaps between different departments. This will show that you value teamwork, which is crucial for this position.
✨Emphasise Continuous Learning
The job description highlights the importance of continuous learning and best practices. Share how you stay updated with the latest trends in data engineering and any relevant courses or certifications you've completed. This demonstrates your commitment to personal and professional growth.
✨Understand the Microsoft Ecosystem
Familiarise yourself with the Microsoft ecosystem, as you'll be participating in the deployment and maintenance of data solutions within it. If you have experience with Azure or other Microsoft tools, be sure to mention it. Showing that you understand the environment you'll be working in can set you apart from other candidates.
