Data Engineer: Azure Databricks & AI Pipelines
Data Engineer: Azure Databricks & AI Pipelines

Data Engineer: Azure Databricks & AI Pipelines

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

  • Tasks: Design and build robust data platforms using Azure and Databricks.
  • Company: Leading global company in Greater Manchester with a focus on innovation.
  • Benefits: Flexible hybrid working policy and collaborative culture.
  • Why this job: Tackle high-scale problems and work with cutting-edge tools like SQL and Python.
  • Qualifications: Hands-on experience with Spark, modern data modeling, and cloud platforms.
  • Other info: Great opportunity for growth in a dynamic environment.

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

A leading global company in Greater Manchester is seeking a Data Engineer to design and build robust data platforms on Azure and Databricks. In this role, you will work with a variety of clients on high-scale problems, leveraging tools like SQL and Python.

The ideal candidate should possess hands-on experience with Spark, modern data modeling, and cloud platforms.

The position offers flexibility through a hybrid working policy and a collaborative culture focused on innovation.

Data Engineer: Azure Databricks & AI Pipelines employer: Jacobs

As a leading global company based in Greater Manchester, we pride ourselves on fostering a collaborative culture that prioritises innovation and flexibility. Our Data Engineers enjoy the benefits of a hybrid working policy, ample opportunities for professional growth, and the chance to tackle high-scale challenges with cutting-edge technologies like Azure and Databricks, making it an ideal environment for those seeking meaningful and rewarding employment.
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Contact Detail:

Jacobs Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, Databricks, SQL, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.

✨Tip Number 4

Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our innovative team.

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

Azure
Databricks
SQL
Python
Spark
Data Modelling
Cloud Platforms
Collaboration
Innovation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and any relevant tools like SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the role and our company.

Showcase Your Projects: If you've worked on any cool projects involving Spark or modern data modelling, make sure to mention them! We’re keen to see real-world applications of your skills, so don’t hold back on sharing your achievements.

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 the role. Plus, it shows you’re serious about joining our innovative team!

How to prepare for a job interview at Jacobs

✨Know Your Tech Stack

Make sure you’re well-versed in Azure, Databricks, SQL, and Python. Brush up on your knowledge of Spark and modern data modelling techniques. Being able to discuss specific projects where you've used these tools will show your hands-on experience.

✨Showcase Problem-Solving Skills

Prepare to discuss high-scale problems you've tackled in the past. Think about how you approached these challenges and the solutions you implemented. This will demonstrate your ability to think critically and innovate, which is key for this role.

✨Understand the Company Culture

Research the company’s collaborative culture and their focus on innovation. Be ready to share how you thrive in team settings and contribute to a positive work environment. This will help you connect with the interviewers and show that you’re a good fit.

✨Ask Insightful Questions

Prepare thoughtful questions about the role, the team, and the projects you might be working on. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals and values.

Data Engineer: Azure Databricks & AI Pipelines
Jacobs

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