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- Tasks: Lead a global team to develop an enterprise data platform and enhance data quality.
- Company: Global leader in education services with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of higher education with impactful data solutions.
- Qualifications: Strong leadership skills and expertise in SQL, Python, and cloud platforms.
- Other info: Join a dynamic team dedicated to transforming education through data.
The predicted salary is between 54000 - 84000 £ per year.
A global leader in education services is seeking a Head of Data Engineering to drive the development of an enterprise data platform. This hybrid role involves leading a global team of data engineers, implementing data governance, and enhancing data quality. The successful candidate will possess strong leadership and technical skills in SQL, Python, and cloud platforms like Snowflake. This position offers an opportunity to shape the future of higher education through innovative data solutions.
Global Data Engineering Lead - Hybrid & Impactful in London employer: QS Quacquarelli Symonds
Contact Detail:
QS Quacquarelli Symonds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Data Engineering Lead - Hybrid & Impactful in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the education and data engineering sectors. Attend industry events or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your SQL, Python, and cloud platform skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your leadership skills! Be ready to discuss how you've led teams or projects in the past. Use specific examples that highlight your ability to drive results and enhance data quality.
✨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 Global Data Engineering Lead - Hybrid & Impactful in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in SQL, Python, and any cloud platforms you’ve worked with, like Snowflake. We want to see how your expertise can drive our data engineering efforts!
Leadership Matters: Since this role is all about leading a global team, don’t forget to showcase your leadership experience. Share examples of how you've successfully managed teams and projects in the past.
Tailor Your Application: Take a moment to tailor your application to our job description. We love seeing candidates who understand our mission and can articulate how they fit into our vision for higher education.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this impactful role!
How to prepare for a job interview at QS Quacquarelli Symonds
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and cloud platforms like Snowflake. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams. Think about how you've motivated your team, resolved conflicts, or implemented data governance strategies. This will demonstrate your capability to lead a global team effectively.
✨Understand the Bigger Picture
Research the company’s mission and how they’re shaping the future of higher education. Be prepared to discuss how your role as Head of Data Engineering can contribute to their goals and enhance data quality across the organisation.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current data challenges, the team dynamics, or how they envision the future of their data platform. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
