Principal Data Engineer - Aws
Principal Data Engineer - Aws

Principal Data Engineer - Aws

Full-Time 120000 - 120000 £ / year (est.) Home office (partial)
Formula.

At a Glance

  • Tasks: Lead the transformation of data architecture using Databricks and Azure.
  • Company: Global branded entertainment business with a focus on innovation.
  • Benefits: £120,000 salary plus 20% bonus, hybrid working, and career development.
  • Other info: Opportunity to lead a talented team and set technical standards.
  • Why this job: Shape the future of data in a dynamic, cloud-native environment.
  • Qualifications: 5-8 years in data engineering, leadership experience, and expertise in Databricks and Azure.

The predicted salary is between 120000 - 120000 £ per year.

We're working with a global branded entertainment business, operating across multiple international markets, to find a Principal Data Engineer who will shape the future of their data estate.

The business is mid-transformation, moving from a legacy environment to a modern, cloud-native platform built on Databricks and Azure. You'll be the technical face of data to the business: sitting with senior stakeholders, translating complex trade-offs into plain language, and holding the line on what gets built right versus what gets fixed fast.

Responsibilities:

  • Define the directional architecture for the new data estate, including Lakehouse, Medallion and Eventing patterns on Databricks and Azure.
  • Line manage, hire and develop the Data Engineering squad, setting technical standards and team culture.
  • Implement modern engineering hygiene: CI/CD, automated testing, observability and FinOps.
  • Partner with the Data Delivery Lead to balance tactical fixes against strategic build.
  • Represent the data function in setting organisation-wide standards for coding, security and DevOps.

Requirements:

  • 5 to 8 years in data engineering or data architecture, with at least 3 years in a leadership position.
  • Expert-level Databricks, Azure and SQL/Python.
  • A software engineering mindset, not a scripting one.

Hybrid working from London. If you're a Principal Data Engineer who wants to lead something meaningful rather than maintain something inherited, this is worth a conversation.

Principal Data Engineer - Aws employer: Formula.

Join a dynamic global branded entertainment business that values innovation and growth, offering a collaborative work culture where your expertise as a Principal Data Engineer will directly influence the transformation of their data estate. With competitive compensation, a generous bonus structure, and opportunities for professional development, you'll thrive in a hybrid working environment in London, surrounded by passionate colleagues committed to pushing the boundaries of data engineering.
Formula.

Contact Detail:

Formula. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal Data Engineer - Aws

✨Tip Number 1

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

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving CI/CD and automated testing. This will give potential employers a taste of what you can bring to their team.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain complex concepts in simple terms, just like you would when talking to senior stakeholders. Practice makes perfect!

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace Principal Data Engineer - Aws

Data Engineering
Data Architecture
Databricks
Azure
SQL
Python
CI/CD
Automated Testing
Observability
FinOps
Leadership
Technical Standards
DevOps
Stakeholder Management
Software Engineering Mindset

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with Databricks, Azure, and any leadership roles you've held. We want to see how you can shape our data estate!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills align with our needs. Remember, we love a good story about your journey in data engineering.

Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include specific examples of projects where you’ve implemented CI/CD, automated testing, or worked with data architecture. We’re keen to see your software engineering mindset in action.

Apply Through Our Website: We encourage you to apply 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 Formula.

✨Know Your Tech Inside Out

Make sure you’re well-versed in Databricks, Azure, and SQL/Python. Brush up on the latest features and best practices, as you’ll need to demonstrate your expertise during the interview. Be ready to discuss how you've applied these technologies in past projects.

✨Translate Tech Speak

Since you'll be the technical face of data, practice explaining complex concepts in simple terms. Think about how you would communicate trade-offs to non-technical stakeholders. This will show your ability to bridge the gap between tech and business.

✨Show Leadership Skills

Highlight your experience in line management and team development. Prepare examples of how you've set technical standards and fostered a positive team culture. This is crucial for a Principal role, so make it clear how you can lead and inspire a Data Engineering squad.

✨Emphasise Modern Engineering Practices

Be ready to discuss your experience with CI/CD, automated testing, and observability. Share specific instances where you implemented these practices and how they improved project outcomes. This will demonstrate your commitment to modern engineering hygiene.

Principal Data Engineer - Aws
Formula.

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