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- Tasks: Build and maintain data systems while collaborating with data scientists.
- Company: Leading educational publisher focused on innovation and impact.
- Benefits: Flexible working arrangements and a competitive salary of £60,000 to £80,000.
- Why this job: Make a significant impact in the education sector with your data engineering skills.
- Qualifications: Strong understanding of data engineering tools and practices required.
- Other info: Remote or hybrid work options available for a balanced lifestyle.
The predicted salary is between 60000 - 80000 £ per year.
A leading educational publisher is seeking a Senior Data Engineer to join their team. This role allows for flexible working arrangements, whether remote or hybrid, providing a competitive salary range of £60,000 to £80,000.
Responsibilities include:
- Building and maintaining data systems
- Ensuring reliability
- Collaborating with data scientists
The position emphasizes a strong understanding of data engineering tools and practices, making it ideal for those eager to make a significant impact in the education sector.
Senior Data Engineer — Remote, Real-time Pipelines in Sheffield employer: Twinkl Educational Publishing
Contact Detail:
Twinkl Educational Publishing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Remote, Real-time Pipelines in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the education sector or data engineering community. LinkedIn is your best mate here—connect, engage, and don’t be shy to ask for informational chats.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving real-time data pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process clearly—communication is key when collaborating with data scientists!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals ready to make an impact. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer — Remote, Real-time Pipelines in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering tools and practices. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the education sector and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for someone who can build and maintain reliable data systems, so let us know how you’ve done this before!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Twinkl Educational Publishing
✨Know Your Data Engineering Tools
Make sure you’re well-versed in the data engineering tools mentioned in the job description. Brush up on your knowledge of real-time data pipelines and be ready to discuss how you've used these tools in past projects. This shows that you’re not just familiar with the tech, but you can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. This could involve troubleshooting a data pipeline issue or optimising a system for better performance. Highlighting your problem-solving skills will demonstrate your ability to handle the responsibilities of the role.
✨Collaborate Like a Pro
Since the role involves working closely with data scientists, be ready to discuss your experience in collaborative environments. Share examples of how you’ve worked with cross-functional teams to achieve common goals. This will show that you understand the importance of teamwork in delivering successful data solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future projects. 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. Asking about their approach to data reliability and system maintenance can spark a great conversation.
