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- Tasks: Transform and maintain data infrastructure while building data models with dbt.
- Company: Leading AI infrastructure company in the UK with a focus on innovation.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Join cutting-edge AI research and make a real impact with your skills.
- Qualifications: Expertise in dbt, SQL, and experience with cloud platforms required.
- Other info: Collaborative environment with a focus on actionable insights.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI infrastructure company in the United Kingdom is seeking an Analytics Engineer to transform and maintain its data infrastructure. The role involves building data models with dbt, ensuring data accuracy, and collaborating across teams to provide actionable insights.
Ideal candidates will have expertise in dbt, SQL, and experience with cloud platforms. Join to be a part of innovative AI research, with competitive salary and remote working options.
Analytics Engineer: Remote Data Infrastructure & Insights employer: Prolific
Contact Detail:
Prolific Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Remote Data Infrastructure & Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and insights. This is your chance to demonstrate your expertise in dbt and SQL, making you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Research the company’s projects and think about how your experience aligns with their needs. We want to see you shine when discussing your cloud platform experience!
✨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 Analytics Engineer: Remote Data Infrastructure & Insights
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in dbt and SQL right from the get-go. We want to see how your skills can transform our data infrastructure, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that relate to building data models and ensuring data accuracy. It’ll help us see how you fit into our team.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Let’s make sure your insights shine through without any fluff!
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 in AI research!
How to prepare for a job interview at Prolific
✨Know Your Data Tools
Make sure you brush up on your dbt and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since the role involves working across teams, think of examples where you've successfully collaborated with others. Highlight how you communicated insights and ensured data accuracy while working with different stakeholders.
✨Prepare for Technical Questions
Expect some technical questions related to data modelling and cloud platforms. Practise explaining your thought process clearly and concisely, as this will demonstrate your analytical thinking and problem-solving abilities.
✨Research the Company’s AI Projects
Familiarise yourself with the company’s recent AI research and projects. This will not only show your genuine interest in the role but also help you ask insightful questions during the interview, making you stand out as a candidate.
