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- Tasks: Design and deliver scalable data solutions using Microsoft Fabric and advanced data pipelines.
- Company: Leading London-based organisation with a focus on innovation and collaboration.
- Benefits: Competitive salary, onsite work in London, and opportunities for professional growth.
- Other info: Work onsite three days a week in a vibrant London office.
- Why this job: Join a dynamic team and make an impact with cutting-edge data technology.
- Qualifications: Expertise in PySpark, CI/CD, and strong data engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
Station, a leading London-based organization, is looking for a Senior Data Engineer to design and deliver scalable data solutions on a modern data platform built with Microsoft Fabric. The role involves hands-on experience with data pipelines, advanced Fabric capabilities, and collaboration with cross-functional teams.
Candidates should have strong expertise in PySpark, CI/CD, and contributing to data engineering standards. This position requires onsite work at the London office three days a week.
Senior Data Engineer – Fabric Data Platform (Onsite London) employer: Station
Contact Detail:
Station Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer – Fabric Data Platform (Onsite London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Microsoft Fabric. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data pipelines and projects using PySpark. When you get that interview, having tangible examples will set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to CI/CD and data engineering standards. Mock interviews with friends or mentors can help you nail your responses.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Data Engineer – Fabric Data Platform (Onsite London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and Microsoft Fabric. We want to see how your skills in PySpark and CI/CD align with what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Senior Data Engineer role. Share specific examples of your past projects and how they relate to our needs at StudySmarter.
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, don’t forget to mention any relevant teamwork experiences. We love seeing how you’ve contributed to team success in your previous 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 position right away!
How to prepare for a job interview at Station
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines and Microsoft Fabric. Be ready to discuss your hands-on experience with PySpark and how you've implemented scalable data solutions in the past. This will show that you're not just familiar with the tools, but that you can effectively use them.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others. Think about specific projects where teamwork was key and how you contributed to achieving common goals.
✨Demonstrate CI/CD Knowledge
Familiarise yourself with Continuous Integration and Continuous Deployment practices. Be ready to explain how you've applied these principles in your previous roles, as this will highlight your commitment to maintaining high engineering standards.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's data strategy or the challenges they face with their current data platform. This shows your genuine interest in the role and helps you assess if it's the right fit for you.