At a Glance
- Tasks: Design ETL architectures and manage data pipelines for innovative AI applications.
- Company: UnlikelyAI, a forward-thinking tech company based in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those with 4+ years of data engineering experience.
- Why this job: Join a dynamic team and shape the future of AI with your data expertise.
- Qualifications: Degree in a related field and proficiency in Python or Java required.
The predicted salary is between 55000 - 70000 £ per year.
UnlikelyAI, headquartered in London, seeks a Data Engineer to design ETL architectures and oversee data pipelines. A degree in a related field and proficiency in Python or Java are essential. The position supports a hybrid work model, combining both remote and in-office collaboration.
The ideal candidate has at least 4 years of data engineering experience and can effectively work alongside cross-functional teams to meet data needs for cutting-edge AI applications.
Data Engineer — AI Pipelines & Scalable ETL (Hybrid) employer: UnlikelyAI
UnlikelyAI is an exceptional employer that fosters a dynamic and innovative work culture, where collaboration and creativity thrive. With a hybrid work model, employees enjoy the flexibility of remote work while also benefiting from in-person teamwork in our vibrant London office. We prioritise employee growth through continuous learning opportunities and encourage our team to push the boundaries of AI technology, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer — AI Pipelines & Scalable ETL (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at UnlikelyAI on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best ETL projects and data pipelines. We want to see how you tackle real-world problems, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python or Java. We recommend coding challenges or mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Engineer — AI Pipelines & Scalable ETL (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering, especially with ETL architectures and data pipelines. We want to see how your skills in Python or Java shine through!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your past work and how it relates to the cutting-edge AI applications we’re developing.
Showcase Your Teamwork Skills:Since this role involves working with cross-functional teams, let us know about your collaborative experiences. We love seeing how you’ve successfully partnered with others to meet data needs.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at UnlikelyAI
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python or Java. Brush up on your ETL processes and be ready to discuss how you've designed data pipelines in the past.
✨Showcase Your Experience
With at least 4 years of data engineering experience, you’ll want to highlight specific projects where you’ve successfully implemented scalable solutions. Prepare examples that demonstrate your ability to work with cross-functional teams and meet data needs.
✨Understand AI Applications
Since this role involves supporting AI applications, take some time to understand how data engineering plays a crucial role in AI. Be prepared to discuss how your work can impact AI outcomes and improve efficiency.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about UnlikelyAI’s data strategy, team dynamics, and the hybrid work model. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
