Senior Data Engineer - Hybrid, Azure Data & ML Pipelines
Senior Data Engineer - Hybrid, Azure Data & ML Pipelines

Senior Data Engineer - Hybrid, Azure Data & ML Pipelines

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and maintain scalable data infrastructure for analytics and AI.
  • Company: Leading global materials company with a focus on innovation.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Why this job: Join a dynamic team and enhance your skills in data engineering and cloud technologies.
  • Qualifications: Experience in optimizing data pipelines and proficiency with Azure.
  • Other info: Enjoy a hybrid work model with occasional on-site engagements.

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

A leading global materials company is seeking a Senior Data Engineer to enhance its data capabilities. In this role, you will design and maintain scalable data infrastructure, ensuring systems are reliable and secure for analytics and AI initiatives.

Proven experience in optimizing data pipelines, proficiency with cloud platforms like Azure, and strong programming skills are essential. This position also offers flexibility for remote work with occasional on-site engagements.

Senior Data Engineer - Hybrid, Azure Data & ML Pipelines employer: Victrex Manufacturing Limited

As a leading global materials company, we pride ourselves on fostering a dynamic work culture that prioritises innovation and collaboration. Our employees benefit from flexible working arrangements, robust professional development opportunities, and a commitment to sustainability, making this an ideal environment for those looking to make a meaningful impact in the field of data engineering.
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Contact Detail:

Victrex Manufacturing Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer - Hybrid, Azure Data & ML Pipelines

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to data pipelines and Azure. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising coding challenges and discussing your past experiences with data optimisation and security.

✨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 and engaged with our company.

We think you need these skills to ace Senior Data Engineer - Hybrid, Azure Data & ML Pipelines

Data Infrastructure Design
Data Pipeline Optimization
Cloud Platforms (Azure)
Programming Skills
Data Security
Analytics
AI Initiatives
Scalability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with data infrastructure and cloud platforms like 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 passionate about data engineering and how you can contribute to our analytics and AI initiatives. Keep it engaging and personal.

Showcase Your Technical Skills: We’re looking for strong programming skills and experience in optimising data pipelines. Be sure to mention specific technologies and tools you’ve worked with, as this will help us understand your expertise.

Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!

How to prepare for a job interview at Victrex Manufacturing Limited

✨Know Your Data Pipelines

Make sure you can discuss your experience with optimising data pipelines in detail. Be ready to share specific examples of how you've designed and maintained scalable data infrastructure, especially in Azure. This will show that you understand the core responsibilities of the role.

✨Brush Up on Azure

Since this role requires proficiency with Azure, take some time to review its key features and services related to data engineering. Familiarise yourself with Azure Data Factory, Azure Databricks, and any relevant ML tools. Being able to speak confidently about these will impress your interviewers.

✨Showcase Your Programming Skills

Prepare to discuss your programming skills, particularly in languages commonly used in data engineering like Python or SQL. Have examples ready that demonstrate how you've used these skills to solve real-world problems or improve processes in previous roles.

✨Emphasise Flexibility and Teamwork

Since the position offers hybrid work, be prepared to talk about your experience working both remotely and on-site. Highlight your ability to collaborate effectively with teams in different settings, as well as your adaptability to changing work environments.

Senior Data Engineer - Hybrid, Azure Data & ML Pipelines
Victrex Manufacturing Limited

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