At a Glance
- Tasks: Design scalable data platforms and integrate data from various sources.
- Company: Leading UK recruitment agency specialising in Data & AI.
- Benefits: Flexible hybrid work model with only two onsite days a month.
- Why this job: Join a dynamic team and shape the future of AI-driven data solutions.
- Qualifications: Extensive data architecture experience and high proficiency in SQL.
- Other info: Opportunity to work with cutting-edge cloud-native tools.
The predicted salary is between 48000 - 72000 £ per year.
A leading recruitment agency in the UK is seeking an Associate Director for Data & AI Recruitment. The role focuses on designing scalable data platforms and leading the integration of data across various sources.
Ideal candidates will have:
- Extensive data architecture experience
- High proficiency in SQL
- Familiarity with cloud-native tools
There is a flexible hybrid work model, requiring onsite presence only two days a month in Surrey.
Hybrid Data Architect for AI‑Driven Data Platform employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Architect for AI‑Driven Data Platform
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects. Use platforms like GitHub to share your work. 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 your SQL and cloud-native tools knowledge. Practice common interview questions related to data architecture. We recommend doing mock interviews with friends or using online resources to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Keep an eye on our listings and make sure your application stands out by tailoring it to each role.
We think you need these skills to ace Hybrid Data Architect for AI‑Driven Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data platforms and AI. We love seeing candidates who can connect their personal experiences to our mission.
Showcase Your Cloud Knowledge: Since familiarity with cloud-native tools is key, mention any specific platforms you’ve worked with. We’re keen to know how you’ve integrated data across various sources using these technologies.
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’s super easy!
How to prepare for a job interview at Xcede
✨Know Your Data Architecture Inside Out
Make sure you brush up on your data architecture knowledge. Be ready to discuss your previous projects, focusing on how you designed scalable data platforms and integrated data from various sources. This will show your expertise and help you stand out.
✨SQL Skills Are Key
Since high proficiency in SQL is a must, practice common SQL queries and be prepared to solve problems on the spot. You might be asked to demonstrate your skills, so having a few examples ready can really impress the interviewers.
✨Familiarise Yourself with Cloud-Native Tools
Get comfortable with cloud-native tools relevant to data architecture. Research the specific tools used by the company and be ready to discuss how you've used similar technologies in your past roles. This shows you're proactive and well-prepared.
✨Embrace the Hybrid Work Model
Since the role offers a flexible hybrid work model, be ready to discuss how you manage your time and productivity in both remote and onsite settings. Share examples of how you've successfully collaborated with teams in different environments.