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- Tasks: Join our AI team to develop an innovative AI-enabled data platform.
- Company: Leading UK law firm with a focus on technology and innovation.
- Benefits: Competitive salary, hybrid work options, and great benefits.
- Why this job: Make a real impact in the exciting field of AI and data engineering.
- Qualifications: Strong skills in SQL and Python, plus a passion for AI.
- Other info: Opportunity for growth in a dynamic and supportive environment.
The predicted salary is between 55000 - 65000 £ per year.
A leading UK law firm is seeking an experienced Data Engineer to join their AI team in Liverpool. This role involves core data engineering tasks and low-code AI product development, contributing to a new AI-enabled data platform.
The firm offers a competitive salary of £55,000 to £65,000 plus benefits, including hybrid work arrangements.
Strong qualifications in SQL and Python are essential, along with a passion for AI.
AI Data Engineer — Hybrid Role with Growth & Impact in Liverpool employer: Coaction Recruitment Ltd
Contact Detail:
Coaction Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Engineer — Hybrid Role with Growth & Impact in Liverpool
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data engineering space, especially those connected to the law firm you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially any low-code AI products you've developed. This will not only demonstrate your expertise but also your passion for AI, which is key for this role.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering scenarios and AI applications. We recommend practising with mock interviews to boost your confidence and help you articulate your thoughts clearly.
✨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 — Hybrid Role with Growth & Impact in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as these are key skills for the AI Data Engineer role. We want to see how your background aligns with the core data engineering tasks and low-code AI product development.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and explain why you’re excited about contributing to a new AI-enabled data platform. Let us know what makes you a great fit for our team.
Showcase Relevant Projects: If you've worked on any projects related to data engineering or AI, be sure to mention them in your application. We love seeing real-world examples of your skills in action, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Coaction Recruitment Ltd
✨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, as well as any challenges you faced and how you overcame them.
✨Show Your Passion for AI
This role is all about AI, so be prepared to talk about your enthusiasm for the field. Share any personal projects or research you've done related to AI, and how you see it evolving in the legal sector.
✨Understand the Company’s Vision
Do some homework on the law firm and their AI initiatives. Knowing their goals and how your role as a Data Engineer fits into their plans will show that you're genuinely interested and invested in their success.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you had to develop low-code solutions or work with data platforms, and be ready to explain your thought process and the outcomes.
