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- Tasks: Own the data layer, ensuring reliable ELT pipelines and effective data architecture.
- Company: Fast-growing tech startup in the hospitality sector with a dynamic culture.
- Benefits: Salary between £80,000 and £100,000 plus equity, with hybrid working conditions.
- Why this job: Shape data usage and support exciting analytics and AI projects.
- Qualifications: Strong SQL and Python skills, plus experience in data modelling and cloud environments.
- Other info: Join a vibrant team and make a real impact in a booming industry.
The predicted salary is between 80000 - 100000 £ per year.
A fast-growing tech startup in the hospitality sector is hiring a Senior Data Engineer to own the entire data layer, ensuring reliable ELT pipelines and effective data architecture. You will collaborate with product teams to shape data usage and support analytics and AI use cases.
This role offers a salary between £80,000 and £100,000 plus equity, with hybrid working conditions. The position requires strong SQL and Python expertise, along with experience in data modelling and cloud environments.
Architect of AI-Ready Data Platform (Hybrid, Equity) employer: Techmunity
Contact Detail:
Techmunity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Architect of AI-Ready Data Platform (Hybrid, Equity)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving SQL and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising your answers with a friend or even in front of the mirror to build confidence and clarity.
✨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 are proactive and engaged with our platform.
We think you need these skills to ace Architect of AI-Ready Data Platform (Hybrid, Equity)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your SQL and Python expertise, as well as any relevant experience in data modelling and cloud environments. We want to see how you can own the data layer!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background aligns with our needs. Don’t forget to mention your collaborative spirit, as we value teamwork in shaping data usage.
Showcase Your Projects: If you've worked on any projects related to ELT pipelines or AI use cases, make sure to include them. We love seeing real-world applications of your skills, so share what you've done and the impact it had!
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Techmunity
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Understand Data Architecture
Familiarise yourself with data modelling concepts and cloud environments relevant to the role. Prepare to explain how you've designed or improved data architectures in previous positions, and be ready to share examples of effective ELT pipelines you've built.
✨Collaborate Like a Pro
Since this role involves working closely with product teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve influenced data usage decisions to support analytics and AI use cases.
✨Show Your Passion for Hospitality Tech
Research the company and its position in the hospitality sector. Be prepared to discuss how your skills can contribute to their mission and how you see data playing a role in enhancing customer experiences in this industry.
