At a Glance
- Tasks: Design and build scalable data pipelines using Python/PySpark and SQL.
- Company: Join Fairmont Recruitment Technology, a leader in innovative data solutions.
- Benefits: Enjoy remote work flexibility and a strong focus on professional growth.
- Other info: Be part of a greenfield project with significant ownership and career advancement.
- Why this job: Shape a cutting-edge Microsoft Fabric data platform and make a real impact.
- Qualifications: Experience in data engineering and proficiency in Python/PySpark and SQL.
The predicted salary is between 60000 - 80000 £ per year.
Fairmont Recruitment Technology is seeking a Senior Data Engineer to help shape and deliver a Microsoft Fabric data platform. This hands-on position involves designing and building scalable data pipelines, writing clean production-grade Python/PySpark and SQL, and improving overall performance and reliability.
The role offers significant ownership in a greenfield environment, minimal office requirements, and a strong investment in data capabilities.
Senior Data Engineer — Remote, Greenfield Fabric employer: Fairmont Recruitment Technology
At Fairmont Recruitment Technology, we pride ourselves on being an excellent employer that fosters innovation and growth in a supportive remote work environment. Our commitment to employee development is matched by our investment in cutting-edge data capabilities, allowing you to take ownership of impactful projects while enjoying a flexible work-life balance. Join us to be part of a dynamic team where your contributions truly matter and where you can thrive in your career.
Contact Details:
Fairmont Recruitment Technology Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Remote, Greenfield Fabric
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines, Python/PySpark projects, and SQL queries. This will give potential employers a taste of what you can bring to the table, especially in a greenfield environment.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss how you've tackled challenges in previous roles. Practice explaining your thought process when designing scalable data solutions, as this will impress hiring managers.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for the Senior Data Engineer position. Plus, it shows you're genuinely interested in joining our team and contributing to our data capabilities.
We think you need these skills to ace Senior Data Engineer — Remote, Greenfield Fabric
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with Python, PySpark, and SQL. We want to see how you've used these skills in real projects, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Senior Data Engineer role. Mention how your past experiences align with shaping and delivering data platforms, especially in a greenfield environment like ours.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points if it helps to break down your achievements and skills – we love a well-structured application.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Fairmont Recruitment Technology
✨Know Your Tech Stack
Make sure you’re well-versed in Microsoft Fabric, Python, PySpark, and SQL. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about examples where you improved performance or reliability in data systems. This will demonstrate your hands-on experience and ability to think critically in a greenfield environment.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
✨Be Ready for Technical Assessments
Expect some technical questions or even a coding challenge during the interview. Practice writing clean code in Python and SQL beforehand. Familiarise yourself with common data engineering problems and solutions to showcase your skills under pressure.
