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- Tasks: Design and develop a cloud-based data platform with machine learning pipelines.
- Company: Leading workforce solutions provider in Liverpool with a focus on innovation.
- Benefits: Opportunity to work with cutting-edge AI technologies and grow your career.
- Other info: Great growth opportunities and a chance to make an impact in AI.
- Why this job: Join a dynamic team and shape the future of AI in a collaborative environment.
- Qualifications: Strong SQL and Python skills, experience with Azure and SQL Server.
The predicted salary is between 45000 - 55000 £ per year.
A leading workforce solutions provider in Liverpool is seeking a Data/AI Engineer to design and develop a cloud-based data platform. This role focuses on developing machine learning pipelines and intelligent agents, supporting the organization's AI strategy.
Ideal candidates will have:
- Strong SQL and Python skills
- Experience with Azure and SQL Server
- A collaborative mindset to ensure data governance and integration with business systems
The position offers a growth opportunity to work with cutting-edge AI technologies.
AI Data Engineer: Azure, Gen-AI & Medallion Architecture employer: Trades Workforce Solutions
Contact Detail:
Trades Workforce Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Engineer: Azure, Gen-AI & Medallion Architecture
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Azure and AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising your answers to technical scenarios, especially around machine learning pipelines and data governance.
✨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 about their job search!
We think you need these skills to ace AI Data Engineer: Azure, Gen-AI & Medallion Architecture
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any experience with Azure and SQL Server. We want to see how your background aligns with the role of AI Data Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with cutting-edge AI technologies and how your collaborative mindset can contribute to our data governance efforts. Let us know what makes you tick!
Showcase Your Projects: If you've worked on machine learning pipelines or intelligent agents, make sure to mention them in your application. We love seeing real-world examples of your work, so include links or descriptions of your projects that demonstrate your expertise.
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’s super easy – just follow the prompts!
How to prepare for a job interview at Trades Workforce Solutions
✨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 used these technologies, especially in relation to Azure and SQL Server. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Collaborative Spirit
Since this role emphasises a collaborative mindset, think of examples where you've worked with others to achieve a common goal. Be prepared to discuss how you’ve integrated data governance into your projects and how you’ve collaborated with business systems to ensure smooth operations.
✨Understand the AI Landscape
Familiarise yourself with the latest trends in AI, particularly around machine learning pipelines and intelligent agents. Being able to discuss how these technologies can support an organisation's AI strategy will demonstrate your passion and knowledge in the field.
✨Prepare Questions That Matter
Have a few thoughtful questions ready for your interviewers. Ask about their current AI initiatives or how they envision the growth of their cloud-based data platform. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.