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- Tasks: Design and maintain scalable data systems for analytics and operations.
- Company: Innovative educational tech company with a focus on continuous learning.
- Benefits: Flexible working options, comprehensive benefits, and a friendly culture.
- Why this job: Make an impact in education while working with cutting-edge data technologies.
- Qualifications: Strong SQL and Python skills, plus experience with modern data engineering tools.
- Other info: Enjoy a dynamic work environment with opportunities for growth.
The predicted salary is between 48000 - 72000 £ per year.
An innovative educational technology company is seeking a Senior Data Engineer to build and maintain scalable data systems that support analytics and operations. The role offers flexible working options including fully remote, hybrid, or office-based work.
Responsibilities include:
- Designing data models
- Collaborating with data scientists
Ideal candidates should have strong SQL and Python skills along with experience in modern data engineering tools. The company values continuous learning and impactful work, providing a friendly culture and comprehensive benefits.
Senior Data Engineer — Remote, Build Scalable Analytics employer: Twinkl Limited
Contact Detail:
Twinkl Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Remote, Build Scalable Analytics
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them in conversations. It’s a great way to demonstrate your SQL and Python prowess.
✨Tip Number 3
Prepare for the interview by brushing up on data engineering concepts and tools. We recommend practising common interview questions and maybe even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Senior Data Engineer — Remote, Build Scalable Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you’ve used these tools in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for the Senior Data Engineer role. Mention specific projects or experiences that align with building scalable data systems and collaborating with data scientists.
Be Yourself: We value a friendly culture, so let your personality shine through in your application. Share your passion for continuous learning and impactful work – it’s what makes us who we are!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Twinkl Limited
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any modern data engineering tools you're familiar with. This will show that you’re not just a theoretical expert but someone who can apply their knowledge in real-world scenarios.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data scientists, be prepared to talk about your experience collaborating with cross-functional teams. Share examples of how you’ve successfully communicated complex data concepts to non-technical stakeholders. This will highlight your ability to work in a friendly and collaborative culture.
✨Demonstrate Continuous Learning
The company values continuous learning, so come equipped with examples of how you’ve pursued professional development. Whether it’s online courses, certifications, or personal projects, showing your commitment to growth will resonate well with the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the challenges they face. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street, after all!
