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- Tasks: Lead a team to design scalable data systems for educational analytics.
- Company: A top-tier higher education analytics firm making a difference.
- Benefits: Hybrid working model, competitive salary, and impactful work.
- Why this job: Shape the future of education through innovative data solutions.
- Qualifications: Master's degree, strong SQL and Python skills, leadership experience.
- Other info: Join a diverse team and drive change in the education sector.
The predicted salary is between 48000 - 72000 £ per year.
A leading higher education analytics firm is seeking a Head of Data Engineering to design and deliver scalable data systems that support educational analytics. You will lead a diverse team, establish governance frameworks, and drive innovations in data architecture using AWS and Snowflake.
The role requires a Master's degree, strong proficiency in SQL and Python, as well as excellent leadership and communication skills. This position offers a hybrid working model based in London, ensuring a positive impact on the education sector.
Head of Data Engineering: Lead Enterprise Data Platform in England employer: QS Quacquarelli Symonds
Contact Detail:
QS Quacquarelli Symonds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering: Lead Enterprise Data Platform in England
✨Tip Number 1
Network like a pro! Reach out to folks in the education analytics space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, especially those involving AWS and Snowflake, make sure to highlight them in conversations. Real-world examples speak volumes.
✨Tip Number 3
Prepare for the interview by brushing up on your leadership stories. Think about times you've led teams or driven innovations in data architecture. We want to hear how you can inspire others!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Head of Data Engineering: Lead Enterprise Data Platform in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python expertise in your application. We want to see how your technical skills align with the role, so don’t hold back on showcasing your experience!
Leadership Matters: As a Head of Data Engineering, your leadership skills are crucial. Share examples of how you've successfully led teams or projects in the past. We love to see how you can inspire and guide others!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the job description. We appreciate when candidates take the time to connect their experiences to what we’re looking for.
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’re considered for this exciting opportunity in the education sector!
How to prepare for a job interview at QS Quacquarelli Symonds
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data engineering, especially AWS and Snowflake. Brush up on your SQL and Python skills, as you might be asked to solve technical problems or discuss your past projects involving these tools.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience. Think about times when you led a team through challenges or implemented governance frameworks. Be ready to discuss how you foster collaboration and innovation within your team.
✨Understand the Educational Sector
Since this role impacts the education sector, do some research on current challenges and opportunities in educational analytics. Being able to discuss how your work can positively influence education will show your passion and commitment to the field.
✨Practice Your Communication Skills
As communication is key for this role, practice explaining complex data concepts in simple terms. You might need to convey your ideas to non-technical stakeholders, so being clear and concise will set you apart from other candidates.
