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For Companies At a Glance
- Tasks: Lead the design and delivery of top-notch data systems for impactful decision-making.
- Company: Join Taptap Send, a forward-thinking company focused on data excellence.
- Benefits: Competitive salary, flexible work locations, and opportunities for professional growth.
- Other info: Inclusive workplace that values diverse perspectives and encourages all to apply.
- Why this job: Shape the future of analytics engineering and make a real difference in a dynamic environment.
- Qualifications: 7+ years in data roles, strong SQL skills, and experience with cloud technologies.
The predicted salary is between 80000 - 100000 ÂŁ per year.
We’re looking for a hands‑on Head of Analytics Engineering to own the delivery of first‑class data systems at Taptap Send. This senior technical IC role requires designing, building, and maintaining the dbt modelling layer that all teams — from Finance to Product to Markets — rely on to make decisions. It will set the technical bar for Analytics Engineering, own the thorniest modelling problems, and ensure trusted, self‑serve data is default across the company. The role reports to the Head of Data, partners with the COO, Engineering, Finance, Treasury, and Markets teams, and helps shape how the broader data discipline scales. It is a full‑time position open to London, Dubai, or NYC.
Key Responsibilities
- Own dbt transformation: design and build mission‑critical models, and define standards, tests, and documentation to keep them reliable and performant at scale.
- Pre‑empt problems: produce dashboards, alerts, and tools that surface issues before they become incidents.
- Ensure self‑serve data: build the knowledge layer, documentation, and quality checks so others can drive their own analysis.
- Use AI effectively: leverage AI tools and agents across the modelling lifecycle, from accelerating dbt development to improving data quality, and help the rest of the team do the same.
- Tackle domain problems via high‑priority special data projects.
- Champion data: peer‑review code, share best practice at weekly meetups, mentor the team, and raise the bar for data best practice at the company.
Required
- 7+ years in a data role (Analytics Engineering and/or Data Science).
- Strong SQL skills and experience working with large, complex datasets in dbt.
- Strong communication and stakeholder management skills.
- Hands‑on experience with cloud technologies (AWS, GCP, or Azure) and a modern cloud warehouse (Redshift, Snowflake, BigQuery).
- Fluency with modern BI tools (Looker, Mode, etc.) and ability to enable real self‑serve.
- Experience with Python and/or R.
- Detail‑oriented and pragmatic, with an attitude of no task too small.
- Right to work in one of the advertised hubs (UK, US, UAE).
Nice to Have
- Experience in a high‑pace context (startup or scale‑up).
- Experience leading cross‑functional projects with Finance, Engineering, or Product.
Equal Opportunity Statement
Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience, and business need. We strongly encourage applications from members of underrepresented communities to apply.
Reasonable Adjustments
If you require reasonable adjustments during the recruitment process, please let us know. Any information you provide will only be used to accommodate your requirements.
Note
We recognize imposter syndrome is real — any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.
Head of Analytics Engineering employer: Taptap Send
Contact Detail:
Taptap Send Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics Engineering
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your past projects, especially those involving dbt or cloud technologies. Let them see how you tackle complex datasets and solve problems.
✨Ask Smart Questions
During interviews, come prepared with insightful questions about their data practices and challenges. This shows you’re genuinely interested and helps you gauge if the company is the right fit for you.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Taptap Send.
We think you need these skills to ace Head of Analytics Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Head of Analytics Engineering role. Highlight your SQL expertise, cloud tech experience, and any relevant projects you've led. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about analytics engineering and how your background aligns with our mission at Taptap Send. Be genuine and let your personality come through!
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled complex data challenges in the past. We love seeing candidates who can pre-empt problems and deliver reliable data solutions. Don't hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through. Let’s make data magic together!
How to prepare for a job interview at Taptap Send
✨Know Your dbt Inside Out
As a Head of Analytics Engineering, you'll need to demonstrate your expertise in dbt. Brush up on your dbt modelling skills and be ready to discuss how you've designed and built models in the past. Prepare examples of how you've tackled complex datasets and ensured their reliability.
✨Showcase Your Problem-Solving Skills
Expect questions about how you pre-empt problems and handle data incidents. Think of specific instances where you've produced dashboards or alerts that helped surface issues before they escalated. This will show your proactive approach and technical prowess.
✨Communicate Like a Pro
Strong communication is key in this role, especially when collaborating with teams like Finance and Engineering. Practice articulating your thoughts clearly and concisely. Be prepared to discuss how you've managed stakeholders and shared best practices in previous roles.
✨Embrace AI Tools
Since leveraging AI is part of the job, be ready to talk about your experience with AI tools in the modelling lifecycle. Share examples of how you've used AI to improve data quality or accelerate development, and be open to discussing how you can help others in the team do the same.