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- Tasks: Design and manage scalable data pipelines using modern cloud platforms.
- Company: Leading analytics firm focused on innovative data solutions.
- Benefits: Generous benefits, healthy work/life balance, and professional growth opportunities.
- Why this job: Join a dynamic team and make an impact with your data engineering skills.
- Qualifications: Advanced Python and SQL skills, plus experience with complex datasets.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 36000 - 60000 £ per year.
A leading analytics firm is looking for a Senior Data Engineer to enhance Fabric assets and ensure reliable data products. You will design and manage data ingestion pipelines using modern cloud platforms and collaborate with teams to meet data requirements.
The ideal candidate must have advanced Python and SQL skills, along with proven experience in integrating complex datasets. This role also offers generous benefits and supports a healthy work/life balance.
Senior Data Engineer — Build scalable Fabric data pipelines employer: RELX
Contact Detail:
RELX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Build scalable Fabric data pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics 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 job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects you've worked on. This is a great way to demonstrate your advanced Python and SQL skills, and it gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss how you've integrated complex datasets in the past. We want you to feel confident and ready to impress!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer — Build scalable Fabric data pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced Python and SQL skills in your application. We want to see how you've used these skills in real-world scenarios, especially when it comes to integrating complex datasets.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Data Engineer role. We love seeing candidates who understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication, so make sure your experience and achievements are easy to read and understand.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at RELX
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data ingestion pipelines and the specific cloud platforms mentioned in the job description. Be ready to discuss your past experiences with Python and SQL, and how you've integrated complex datasets in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of challenges you've faced in data engineering and how you overcame them. This could involve discussing a specific project where you had to design a scalable solution or troubleshoot a data pipeline issue.
✨Collaborate Like a Pro
Since this role involves working with various teams, think about times when you successfully collaborated with others. Be ready to explain how you communicated data requirements and ensured everyone was on the same page during projects.
✨Emphasise Work/Life Balance
This company values a healthy work/life balance, so don’t hesitate to mention how you manage your time effectively. Discuss any strategies you use to maintain productivity while ensuring you have time for personal interests outside of work.
