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- Tasks: Design modern data architectures and build high-quality data pipelines for AI-driven projects.
- Company: Leading UK technology partner with a focus on innovation.
- Benefits: Competitive salary, performance bonuses, and remote work flexibility.
- Why this job: Join a dynamic team and shape the future of AI-driven data solutions.
- Qualifications: Strong problem-solving skills and experience in agile environments.
- Other info: Remote role with potential office locations in London, Edinburgh, and Newcastle.
The predicted salary is between 55000 - 115000 £ per year.
A leading technology partner in the UK is seeking Data Architects and Data Consultants to support AI-driven projects. This role involves designing modern data architectures, building high-quality data pipelines, and advising teams on data solutions.
Ideal candidates will possess strong problem-solving skills and experience in agile environments. Competitive salaries range from £55,000 to £115,000, depending on seniority, with additional performance bonuses. The role offers remote flexibility with potential office locations in London, Edinburgh, and Newcastle.
AI-Driven Data Architect & Engineer (Remote) in London employer: Aventis Solutions
Contact Detail:
Aventis Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Driven Data Architect & Engineer (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. 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 data architecture projects and pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to AI-driven projects and data solutions. Practising with a friend can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI-Driven Data Architect & Engineer (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with data architectures and pipelines, as well as any agile projects you've worked on. We want to see how you can contribute to our AI-driven initiatives!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your problem-solving skills can benefit our team. Keep it engaging and personal – we love getting to know the real you!
Showcase Relevant Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's a personal project or something from a previous job, we want to see how you've tackled challenges and delivered results in the data space.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Plus, it’s super easy – just a few clicks and you’re on your way to joining our team!
How to prepare for a job interview at Aventis Solutions
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data architecture trends and AI technologies. Brush up on your knowledge of data pipelines and be ready to discuss specific projects where you've implemented these solutions.
✨Showcase Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in agile environments. Think of challenges you've faced in previous roles and how you overcame them, as this will demonstrate your critical thinking to potential employers.
✨Familiarise Yourself with the Company
Research the company’s recent AI-driven projects and their approach to data solutions. This will not only help you tailor your answers but also show your genuine interest in their work and how you can contribute.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project methodologies, and future data initiatives. This shows that you’re engaged and eager to understand how you can fit into their vision.
