Senior Azure Data Engineer (Databricks)-RealTime Pipelines in Glasgow

Senior Azure Data Engineer (Databricks)-RealTime Pipelines in Glasgow

Glasgow Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Capco

At a Glance

  • Tasks: Design and deploy secure data engineering pipelines using Azure and Databricks.
  • Company: Capco, a leader in business transformation and data solutions.
  • Benefits: Hybrid working model, comprehensive benefits package, and career development opportunities.
  • Other info: Work in vibrant Glasgow or Edinburgh with a focus on collaboration.
  • Why this job: Join a dynamic team to enhance business transformation through innovative data solutions.
  • Qualifications: Experience with Databricks, Python, SQL, and DevOps tools required.

The predicted salary is between 60000 - 80000 € per year.

Capco is seeking a Senior Azure Data Engineer to design and deploy secure data engineering pipelines in Glasgow or Edinburgh. You will collaborate with clients to address their data needs and enhance business transformation.

The ideal candidate will have experience with Databricks, strong skills in Python and SQL, and familiarity with DevOps tools. This role offers a hybrid working model and a comprehensive benefits package.

Senior Azure Data Engineer (Databricks)-RealTime Pipelines in Glasgow employer: Capco

Capco is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Glasgow or Edinburgh. With a strong focus on employee growth, you will have access to comprehensive training and development opportunities, alongside a competitive benefits package and a flexible hybrid working model that promotes work-life balance.

Capco

Contact Detail:

Capco Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Azure Data Engineer (Databricks)-RealTime Pipelines in Glasgow

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and real-time pipelines. 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 common data engineering scenarios. Be ready to discuss how you've tackled challenges in previous roles, particularly with DevOps tools. We want to see your problem-solving skills in action!

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 take the initiative to connect directly with us.

We think you need these skills to ace Senior Azure Data Engineer (Databricks)-RealTime Pipelines in Glasgow

Azure Data Engineering
Databricks
Python
SQL
DevOps Tools
Data Pipeline Design
Data Security

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Azure, Databricks, Python, and SQL. We want to see how your skills match the job description, 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 team. Let’s see your personality come through while keeping it professional.

Showcase Your Problem-Solving Skills:In your application, mention specific examples where you've tackled data challenges or improved processes. We love seeing how you think and approach problems, especially in a collaborative environment.

Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we can’t wait to hear from you!

How to prepare for a job interview at Capco

Know Your Tech Inside Out

Make sure you brush up on your Databricks, Python, and SQL skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.

Understand the Business Context

Since you'll be collaborating with clients to address their data needs, it’s crucial to understand how data engineering impacts business transformation. Research Capco's recent projects or case studies to show that you’re not just a tech whiz but also understand the bigger picture.

DevOps Familiarity is Key

Familiarise yourself with DevOps tools and practices, as they are essential for this role. Be prepared to discuss how you’ve integrated DevOps into your previous projects and how it improved your workflow.

Ask Insightful Questions

Prepare some thoughtful questions about the team dynamics, project expectations, and the hybrid working model. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.