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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 vibrant cities like London, Dubai, or NYC with excellent career advancement potential.
- Why this job: Make a significant impact by championing data best practices in a dynamic environment.
- Qualifications: 7+ years of experience, strong SQL skills, and cloud technology expertise required.
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 in London 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 in London
✨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 data systems you've designed. 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 want you to feel confident discussing your experience and how it aligns with Taptap Send's needs.
✨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 take that extra step.
We think you need these skills to ace Senior Analytics Engineering Leader — Self-Serve Data at Scale in London
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your strong SQL skills in your application. We want to see how you've used SQL in past projects, especially in relation to dbt transformation and data modelling.
Demonstrate Your Hands-On Experience: We’re looking for someone with hands-on cloud technology expertise. Share specific examples of how you've designed and maintained data systems in your previous roles to show us you’ve got the chops for this senior position.
Champion Data Best Practices: In your application, don’t forget to mention how you’ve championed data best practices in your past work. We love candidates who can not only deliver but also inspire others to follow suit!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. 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 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 you've written and how they've impacted decision-making in previous roles.
✨Showcase Your Cloud Expertise
This position requires hands-on cloud technology experience. Familiarise yourself with the specific cloud platforms Taptap Send uses and be ready to share examples of how you've leveraged cloud technologies to enhance data systems.
✨Understand dbt Modelling
As you'll be owning the dbt transformation, it's crucial to demonstrate your understanding of dbt modelling. Prepare to discuss your past experiences with dbt, including any challenges you faced and how you overcame them.
✨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 specific examples that highlight your leadership in this area.