Hybrid AI Data Engineer: Azure Data Pipelines
Hybrid AI Data Engineer: Azure Data Pipelines

Hybrid AI Data Engineer: Azure Data Pipelines

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain data pipelines while integrating AI solutions across Azure services.
  • Company: Global medical products company with a focus on innovation in healthcare.
  • Benefits: Hybrid working conditions and opportunities to contribute to impactful healthcare solutions.
  • Why this job: Join a cutting-edge team and make a difference in the healthcare industry.
  • Qualifications: 3-6 years of experience in data engineering or applied AI, with skills in Python, SQL, and Azure.

The predicted salary is between 36000 - 60000 £ per year.

A global medical products company is seeking an AI Data Engineer to join their AI Centre of Excellence. The role involves designing and maintaining data pipelines and integrating AI solutions across Azure services.

Applicants should have 3-6 years' experience in data engineering or applied AI, along with strong skills in Python, SQL, and Azure technologies.

This position offers hybrid working conditions and the chance to contribute to innovative healthcare solutions.

Hybrid AI Data Engineer: Azure Data Pipelines employer: Convatec

Join a leading global medical products company that prioritises innovation and employee development. With a strong focus on hybrid working conditions, you will have the opportunity to contribute to groundbreaking healthcare solutions while enjoying a supportive work culture that fosters growth and collaboration. Our commitment to employee well-being and professional advancement makes us an exceptional employer for those looking to make a meaningful impact in the field of AI and data engineering.
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Contact Detail:

Convatec Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Hybrid AI Data Engineer: Azure Data Pipelines

✨Tip Number 1

Network like a pro! Reach out to professionals in the AI and data engineering fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.

✨Tip Number 2

Showcase your skills! Create a portfolio of projects that highlight your experience with Python, SQL, and Azure technologies. This will give potential employers a clear view of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on common data engineering and AI questions. Practice explaining your past projects and how you've integrated AI solutions, as this will help you stand out during the interview process.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.

We think you need these skills to ace Hybrid AI Data Engineer: Azure Data Pipelines

Data Engineering
Applied AI
Python
SQL
Azure Technologies
Data Pipeline Design
AI Integration
Hybrid Working

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data engineering and AI, especially with Python, SQL, and Azure. We want to see how your skills align with the role, 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 the role and how you can contribute to our AI Centre of Excellence. Keep it engaging and personal – we love to see your personality!

Showcase Your Projects: If you've worked on any cool data pipelines or AI solutions, make sure to mention them! We’re interested in real-world applications of your skills, 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 for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Convatec

✨Know Your Tech Stack

Make sure you brush up on your Python, SQL, and Azure skills before the interview. Be ready to discuss specific projects where you've used these technologies, as this will show your practical experience and understanding of the tools they'll expect you to use.

✨Showcase Your Problem-Solving Skills

Prepare to talk about challenges you've faced in data engineering or AI projects. Think of examples where you designed or maintained data pipelines, and be ready to explain how you approached the problem and what the outcome was. This will demonstrate your critical thinking and adaptability.

✨Understand the Company’s Mission

Research the global medical products company and their focus on innovative healthcare solutions. Being able to articulate how your role as an AI Data Engineer can contribute to their mission will set you apart from other candidates and show your genuine interest in the position.

✨Ask Insightful Questions

Prepare a few thoughtful questions about the team, the projects you'll be working on, and the company's future direction in AI. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.

Hybrid AI Data Engineer: Azure Data Pipelines
Convatec
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  • Hybrid AI Data Engineer: Azure Data Pipelines

    Full-Time
    36000 - 60000 £ / year (est.)
  • C

    Convatec

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