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- Tasks: Solve complex data challenges and work with cutting-edge technology remotely.
- Company: Fast-growing consultancy in Europe with a dynamic team.
- Benefits: Flexible remote work options and opportunities for professional growth.
- Why this job: Join a team that values innovation and makes a real impact with data.
- Qualifications: Experience with Palantir Foundry, Python, SQL, and strong client-facing skills.
- Other info: Exciting projects and a collaborative environment await you!
The predicted salary is between 48000 - 72000 £ per year.
One of the fastest growing and exciting consultancies in Europe has tasked us with finding several key new additions to their team. The ideal candidate would be a Senior Data Engineer with a passion for data and solving complex client challenges. This would be a fully remote role open to different types of employment.
Requirements:
- Palantir Foundry Platform Knowledge (A minimum of 1 year of experience working with the Foundry platform)
- Demonstrated experience with AIP, Workshop, Code repository, and Pipeline Builder
- Knowledge of end-to-end work - Ontology and Data connection
- Experience around Architectural principles
- Programming Skills - proficiency in Python, SQL and PySpark
- Data modeling and basic concepts of data science (classification, clustering, regression)
- Strong client-facing skills: You are comfortable interacting with both business and technical clients, giving presentations, and possess a strong problem-solving mindset
Data Engineer - Palantir Foundry in London employer: Trust In SODA
Contact Detail:
Trust In SODA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Palantir Foundry 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, SQL, and PySpark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your client-facing skills. Practice explaining complex data concepts in simple terms, as you'll need to communicate effectively with both technical and business clients.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Engineer - Palantir Foundry in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the Palantir Foundry platform and relevant programming skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your 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 tackle complex client challenges. Let us know what excites you about working with us at StudySmarter.
Showcase Your Client-Facing Skills: Since this role involves interacting with both business and technical clients, make sure to highlight any relevant experiences. We love seeing examples of how you've successfully communicated complex ideas in the past!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Trust In SODA
✨Know Your Palantir Foundry Inside Out
Make sure you brush up on your knowledge of the Palantir Foundry platform. Be ready to discuss your experience with AIP, Workshop, Code repository, and Pipeline Builder. Having specific examples of how you've used these tools in past projects will really impress the interviewers.
✨Show Off Your Programming Skills
Since proficiency in Python, SQL, and PySpark is key for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data engineering tasks beforehand. This will help you feel more confident during the technical part of the interview.
✨Master Data Modelling Concepts
Brush up on your data modelling and basic data science concepts like classification, clustering, and regression. Be ready to explain these concepts clearly, as you may need to apply them to real-world scenarios during the interview. Showing that you can connect theory to practice will set you apart.
✨Engage with Client-Facing Scenarios
Since strong client-facing skills are essential, think of examples where you've successfully interacted with both business and technical clients. Prepare to discuss how you approach problem-solving and presentations. Demonstrating your ability to communicate effectively will show that you're not just a tech whiz but also a great team player.
