Senior Data Engineer, Azure Databricks & Data Platform

Senior Data Engineer, Azure Databricks & Data Platform

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Pantheon

At a Glance

  • Tasks: Design and implement data pipelines using Azure tech stack for impactful data solutions.
  • Company: Join Pantheon, a forward-thinking company in London focused on data innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on cutting-edge technology.
  • Why this job: Be at the forefront of data engineering and shape the future of a data-centric organisation.
  • Qualifications: 5+ years in data engineering with skills in Python, SQL, and Azure Data Factory.

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

Pantheon is looking for an experienced Senior Data Engineer to join their team in London. You will design and implement data pipelines using a modern Azure tech stack, crucial for advancing Pantheon as a data-centric organization.

Your expertise in Python, SQL, and Azure Data Factory will be essential as you collaborate with business analysts and engineers to deliver high-performance solutions.

A minimum of 5 years of experience in data engineering roles is required.

Senior Data Engineer, Azure Databricks & Data Platform employer: Pantheon

At Pantheon, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Data Engineer in London, you will benefit from competitive remuneration, comprehensive professional development opportunities, and the chance to work with cutting-edge technology in a collaborative environment. Join us to be part of a forward-thinking team dedicated to driving innovation and excellence in data solutions.

Pantheon

Contact Details:

Pantheon Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer, Azure Databricks & Data Platform

Tip Number 1

Network like a pro! Reach out to current or former employees at Pantheon on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your data pipelines and projects using Azure, Python, and SQL. This will help us demonstrate your expertise during interviews.

Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on common data engineering questions and coding challenges. We want you to feel confident when discussing your experience.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Senior Data Engineer, Azure Databricks & Data Platform

Data Pipeline Design
Azure Tech Stack
Python
SQL
Azure Data Factory
Collaboration Skills
High-Performance Solutions

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Azure, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

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 Pantheon’s mission. Keep it concise but impactful.

Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled complex data challenges in the past. We love seeing how you think critically and come up with innovative solutions!

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Pantheon

Know Your Tech Stack

Make sure you’re well-versed in Azure Databricks, Azure Data Factory, and the programming languages mentioned, like Python and SQL. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these technologies in past projects.

Showcase Your Experience

With a minimum of 5 years in data engineering roles, you’ll want to highlight specific projects where you’ve made an impact. Prepare examples that demonstrate your problem-solving skills and how you’ve collaborated with business analysts and engineers to deliver high-performance solutions.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about Pantheon’s data strategy and how they envision the role of a Senior Data Engineer. This shows your genuine interest in the company and helps you assess if it’s the right fit for you.

Practice Problem-Solving Scenarios

Expect technical questions or case studies during the interview. Practice explaining your thought process when tackling data engineering challenges. This will not only showcase your technical skills but also your ability to communicate complex ideas clearly.