At a Glance
- Tasks: Build and maintain data pipelines using SQL and Python for high-quality data.
- Company: Join a leading tech firm with a focus on innovation and data solutions.
- Benefits: Competitive contract pay and the chance to work with cutting-edge technology.
- Other info: Flexible working locations in London or Leeds with immediate start.
- Why this job: Make an impact in data engineering while gaining exposure to Palantir Foundry.
- Qualifications: Proven experience in SQL, Python, and data quality management.
The predicted salary is between 50000 - 70000 € per year.
We are currently seeking a Senior Data Engineer for a 6-month rolling contract based in London or Leeds.
Start: Immediate
Key Focus Areas:
- SQL and Python for data pipelines
- Incremental loading, resilience, and data quality
- Exposure to Palantir Foundry
Job Details:
- Employment type: Contract
- Seniority level: Senior
Data Engineer (Palantir Foundry) in London employer: MPHASIS UK LIMITED
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a Senior Data Engineer will directly impact our data-driven projects. With a focus on employee growth, we provide opportunities for professional development and exposure to cutting-edge technologies like Palantir Foundry, all within the vibrant cities of London or Leeds. Enjoy a competitive contract package and the chance to work alongside industry experts in a supportive environment that champions creativity and resilience.
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 SQL, Python, or Palantir Foundry. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects involving data pipelines and resilience. This is your chance to demonstrate your expertise in SQL and Python, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions, especially those related to incremental loading and data quality. Practising your answers will help you feel more confident and ready to impress.
✨Tip Number 4
Don't forget to apply through our website! We regularly update our job listings, and applying directly can give you an edge. Plus, it shows you're proactive and genuinely interested in 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 SQL and Python, as these are key for the role. We want to see how you've built data pipelines and ensured data quality in your previous projects.
Showcase Relevant Experience:If you've worked with Palantir Foundry or similar tools, shout about it! We love seeing candidates who can demonstrate their hands-on experience with the technologies we use.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences that relate to the job.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at MPHASIS UK LIMITED
✨Master Your SQL and Python Skills
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in building data pipelines. Practising coding challenges related to data manipulation can really help you stand out.
✨Showcase Your Experience with Data Quality
Prepare examples that highlight your experience with data quality and resilience. Think about specific situations where you ensured data integrity or improved data processes. This will demonstrate your understanding of the importance of data quality in engineering roles.
✨Familiarise Yourself with Palantir Foundry
If you have exposure to Palantir Foundry, make sure to mention it! If not, do some research on its features and capabilities. Understanding how it integrates with data pipelines will show your enthusiasm for the role and your willingness to learn.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. Inquire about the team’s current projects, challenges they face with data pipelines, or how they ensure data quality. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
