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- Tasks: Lead the design and maintenance of top-notch data systems for impactful decision-making.
- Company: Join Taptap Send, a forward-thinking company revolutionising data analytics.
- Benefits: Competitive salary, flexible work locations, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
- Why this job: Shape the future of data analytics and drive meaningful change across teams.
- Qualifications: 7+ years in analytics engineering, strong SQL skills, and cloud tech expertise.
The predicted salary is between 80000 - 100000 £ per year.
Taptap Send is seeking a hands-on Head of Analytics Engineering to deliver first-class data systems. This senior role involves designing and maintaining the dbt modelling layer crucial for decision-making across teams.
Responsibilities include:
- Owning dbt transformation
- Problem prevention
- Championing data best practices
Candidates must have:
- 7+ years of experience
- Strong SQL skills
- Hands-on cloud technology expertise
This full-time position is open to candidates in London, Dubai, or NYC.
Senior Analytics Engineering Leader — Self-Serve Data at Scale employer: Taptap Send
Contact Detail:
Taptap Send Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineering Leader — Self-Serve Data at Scale
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics engineering space on LinkedIn or at industry meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your dbt transformations and any cool projects you've worked on. This is your chance to shine and demonstrate your hands-on expertise.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and cloud tech knowledge. We recommend running through common interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Analytics Engineering Leader — Self-Serve Data at Scale
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Analytics Engineering Leader. Highlight your experience with dbt, SQL, and cloud technologies, as these are key for us at Taptap Send.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've delivered first-class data systems in your previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about analytics engineering and how your skills align with our mission at Taptap Send. Keep it engaging and personal.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Taptap Send
✨Know Your SQL Inside Out
Since strong SQL skills are a must for this role, make sure you brush up on your SQL knowledge. Be prepared to discuss complex queries and how you've used SQL to solve real-world problems in your previous roles.
✨Showcase Your Cloud Expertise
This position requires hands-on cloud technology experience, so be ready to talk about the specific cloud platforms you've worked with. Share examples of how you've leveraged cloud technologies to enhance data systems or analytics processes.
✨Demonstrate Your Problem-Solving Skills
As a Head of Analytics Engineering, you'll need to prevent issues before they arise. Prepare to discuss past challenges you've faced in analytics engineering and how you proactively addressed them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Champion Data Best Practices
Taptap Send is looking for someone who can advocate for data best practices. Think about how you've implemented best practices in your previous roles and be ready to share your insights on maintaining high-quality data systems.