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- Tasks: Lead a high-performing team in data engineering and product ownership.
- Company: A leading dental tech company in the UK with a remote-first culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of dental tech through innovative data solutions.
- Qualifications: Over three years of leadership experience and strong SQL skills.
- Other info: Join a dynamic team focused on driving company growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading dental tech company in the United Kingdom seeks a Manager of Data Engineering to lead a high-performing team focused on data product ownership and rigorous data modeling.
Responsibilities include:
- Architecting the semantic layer
- Ensuring performance and reliability of data models
- Collaborating with software engineering teams
Ideal candidates will have:
- Over three years of leadership experience
- A strong background in SQL and modern data stacks
- A strategic vision to support the company's growth trajectory
Head of Data Engineering & Data Products (Remote-First) employer: Dandy
Contact Detail:
Dandy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering & Data Products (Remote-First)
✨Tip Number 1
Network like a pro! Reach out to folks in the dental tech space or data engineering community. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of data products or projects, make sure to highlight them in conversations. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and modern data stacks, and be ready to discuss how you've led teams in the past. Confidence and clarity can really impress hiring managers.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace Head of Data Engineering & Data Products (Remote-First)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Data Engineering role. Highlight your leadership experience, SQL expertise, and any relevant projects that showcase your strategic vision.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share your passion for data engineering and how your background can contribute to our growth. Be genuine and let your personality shine through!
Showcase Your Achievements: When detailing your past roles, focus on specific achievements rather than just responsibilities. Use metrics where possible to demonstrate your impact, especially in areas like data product ownership and team leadership.
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 the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Dandy
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and understand modern data stacks thoroughly. Be prepared to discuss specific projects where you've led data modelling efforts or improved data performance, as this will show your expertise and leadership in the field.
✨Showcase Your Leadership Style
Think about your leadership experience and be ready to share examples of how you've successfully managed teams. Highlight your approach to fostering collaboration between data engineering and software engineering teams, as this is crucial for the role.
✨Align with Company Goals
Research the company’s growth trajectory and think about how your strategic vision can support it. Be prepared to discuss how you would architect the semantic layer and ensure data reliability in line with their objectives.
✨Prepare Thoughtful Questions
Have a few insightful questions ready to ask the interviewers. This could include inquiries about their current data challenges or how they envision the future of their data products. It shows your genuine interest in the role and helps you assess if the company is the right fit for you.
