Data Engineer - Real-Time AI Data Pipelines

Data Engineer - Real-Time AI Data Pipelines

Full-Time 50000 - 70000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build real-time data pipelines for cutting-edge AI products.
  • Company: Fast-growing AI startup in London with a dynamic culture.
  • Benefits: Hybrid working, significant ownership, and the chance to influence practices.
  • Other info: Join a vibrant team and enjoy excellent career growth opportunities.
  • Why this job: Make a real impact in AI while collaborating with talented data scientists.
  • Qualifications: Advanced Python skills and experience with cloud platforms required.

The predicted salary is between 50000 - 70000 € per year.

Ibex.ai, a fast-growing AI startup based in London, is seeking a Data Engineer to design and build data pipelines that support our products. The role involves working closely with data scientists, optimizing ETL processes, and ensuring data quality.

The ideal candidate must have advanced Python skills and experience with cloud platforms. This position offers significant ownership and the chance to influence data engineering practices at Ibex. The company supports a hybrid working environment, with office days three times a week.

Data Engineer - Real-Time AI Data Pipelines employer: ibex.ai

Ibex.ai is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the AI industry. With a strong emphasis on employee growth, we offer opportunities for professional development and the chance to shape data engineering practices while enjoying the flexibility of a hybrid working environment in vibrant London. Join us to be part of a collaborative team that values creativity and ownership in every project.

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Contact Detail:

ibex.ai Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Engineer - Real-Time AI Data Pipelines

✨Tip Number 1

Network like a pro! Reach out to current employees at Ibex.ai on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Show off your skills! Prepare a mini-project or a portfolio showcasing your data pipeline work. This will not only demonstrate your advanced Python skills but also your ability to optimise ETL processes.

✨Tip Number 3

Be ready for technical interviews! Brush up on your cloud platform knowledge and be prepared to discuss how you've ensured data quality in past projects. We want to see your problem-solving skills in action!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Ibex.ai team and contributing to our exciting projects.

We think you need these skills to ace Data Engineer - Real-Time AI Data Pipelines

Data Pipeline Design
ETL Optimization
Data Quality Assurance
Advanced Python Skills
Cloud Platforms Experience
Collaboration with Data Scientists
Data Engineering Practices

Some tips for your application 🫑

Show Off Your Python Skills:Make sure to highlight your advanced Python skills in your application. We want to see how you've used Python in real-world projects, especially in building data pipelines or optimising ETL processes.

Talk About Your Cloud Experience:If you've worked with cloud platforms, let us know! Share specific examples of how you've leveraged these tools to enhance data quality or streamline processes. This will show us you're ready for the challenges at Ibex.ai.

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary. Make it easy for us to see why you're a great fit!

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep everything organised and ensures your application gets to the right people quickly!

How to prepare for a job interview at ibex.ai

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and cloud platforms. Brush up on your ETL processes and be ready to discuss how you've optimised them in past projects.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in data engineering. Think about how you approached these problems and what solutions you implemented. This will demonstrate your ability to think critically and adapt in a fast-paced environment.

✨Understand the Company Culture

Research Ibex.ai and their products. Familiarise yourself with their mission and values, as well as their approach to AI. This will help you align your answers with what they’re looking for and show that you’re genuinely interested in being part of their team.

✨Ask Insightful Questions

Prepare thoughtful questions to ask at the end of the interview. Inquire about their data engineering practices, team dynamics, or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.