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For Companies At a Glance
- Tasks: Design and troubleshoot AI data pipelines for innovative solutions.
- Company: Exciting tech firm in London with a focus on AI.
- Benefits: Competitive salary up to £115k, equity, and flexible remote work.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Experience in data roles with strong skills in Python, SQL, and cloud platforms.
- Other info: Great career progression opportunities in a dynamic environment.
The predicted salary is between 69000 - 115000 £ per year.
A technology firm is seeking a Founding Solutions Data Architect in London to support their AI native data pipelining platform. This role involves solution design, technical onboarding, and troubleshooting.
Candidates should have experience in a data-focused role and strong technical knowledge, especially in Python, SQL, and cloud platforms.
The company offers a competitive salary up to £115k, equity, and an impactful role with career progression. Flexible work-from-home options are available.
Founding Data Architect — AI Pipelines, Equity, Hybrid in London employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Data Architect — AI Pipelines, Equity, Hybrid in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud platforms. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data architecture and AI pipelines. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make an impact in the tech world.
We think you need these skills to ace Founding Data Architect — AI Pipelines, Equity, Hybrid in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data-focused roles, especially with Python, SQL, and cloud platforms. We want to see how your skills align with the needs of our AI native data pipelining platform.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your background fits the Founding Data Architect role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description. No fluff, just the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people. Don’t miss out!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and cloud platforms before the interview. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience and technical knowledge.
✨Showcase Your Problem-Solving Skills
Prepare to talk about past challenges you've faced in data architecture and how you resolved them. This role involves troubleshooting, so demonstrating your analytical thinking and solution design skills will be key.
✨Understand the Company’s Vision
Research the technology firm and their AI native data pipelining platform. Knowing their mission and how your role fits into their goals will help you articulate why you're a great fit for the team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's culture, the team you'll be working with, and the future of their AI initiatives. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
