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- Tasks: Deliver immersive training in Data Engineering and Analytics, mentoring learners along the way.
- Company: Leading tech education provider in the UK with a mission to transform lives.
- Benefits: Opportunities for personal and professional growth in a dynamic environment.
- Why this job: Make a real impact by shaping the next generation of data professionals.
- Qualifications: Solid data background with teaching experience in Python and SQL.
- Other info: Join a collaborative team focused on curriculum innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading tech education provider in the UK seeks a Data Coach to deliver immersive training in Data Engineering and Analytics. The ideal candidate will have a solid data background and experience in teaching Python and SQL, alongside responsibilities for curriculum innovation. This role requires mentoring and supporting learners throughout their training journey, ensuring that they are prepared for modern data teams. Join a mission to transform lives through education with ample opportunities for personal and professional growth.
Data Coach: Engineering & Analytics Trainer employer: Makers
Contact Detail:
Makers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Coach: Engineering & Analytics Trainer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering and analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨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 passionate candidates who are eager to join our mission of transforming lives through education.
We think you need these skills to ace Data Coach: Engineering & Analytics Trainer
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on sharing specific examples!
Tailor Your Curriculum Ideas: Since curriculum innovation is key for us, think about how you can bring fresh ideas to the table. Share any unique approaches or projects you've worked on that could enhance our training programmes.
Mentorship Matters: We’re all about supporting learners, so let us know about your mentoring experiences. Whether it’s formal teaching or informal guidance, we want to hear how you’ve helped others grow in their data journey.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Makers
✨Know Your Data Inside Out
Make sure you have a solid grasp of data engineering and analytics concepts. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your knowledge. Prepare to discuss real-world applications of these technologies in your previous roles.
✨Showcase Your Teaching Style
Since the role involves delivering training, think about how you can convey complex data topics in an engaging way. Be ready to share examples of how you've successfully taught or mentored others in the past, highlighting your ability to adapt your teaching methods to different learning styles.
✨Emphasise Curriculum Innovation
The job requires curriculum innovation, so come prepared with ideas on how to enhance existing training materials or introduce new topics. Think about trends in data engineering and analytics that could benefit learners and be ready to discuss how you would implement these changes.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to support learners. Practice articulating how you would handle various situations, such as a student struggling with a concept or needing extra motivation. This will show your commitment to mentoring and supporting learners effectively.
