At a Glance
- Tasks: Design and deliver scalable data solutions using Microsoft Fabric.
- Company: Leading London-based organisation with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Onsite role three days a week in vibrant London office.
- Why this job: Join a dynamic team and work with cutting-edge data technologies.
- Qualifications: Expertise in PySpark, CI/CD, and data engineering standards 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 current employees at Station or similar companies on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and any projects using PySpark or Microsoft Fabric. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on CI/CD processes and data engineering standards. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight our relevant experience directly related to the role.
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 your teamwork experiences. We love seeing how you’ve contributed to team success in previous roles!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role!
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. Highlight any specific projects where teamwork was key to delivering results, as this will demonstrate your ability to fit into their culture.
✨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, especially in relation to data engineering standards. This will show that you understand the importance of maintaining high-quality data solutions.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy and the challenges they face with their current data platform. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you.