Application Guide

How to Apply for Data Engineer (Tech Lead/Staff)

at Octopus Energy

🏢 About Octopus Energy

Octopus Energy is a fast-growing, tech-driven energy supplier that is redefining the industry with a focus on transparency, AI, and renewable energy. They are committed to a low-carbon future and have a strong culture of innovation and sustainability, making them an exciting place for engineers who want to make a real impact.

About This Role

As a Data Engineer (Tech Lead/Staff), you will own and optimize the data platform architecture, ensuring it is reliable, scalable, and maintainable. You will also shape the direction of the growing data team, coach members on best practices, and build new data sources and pipelines, including ML infrastructure to support AI use cases. This role is pivotal in enabling data-driven decisions and AI innovations at Octopus Energy.

💡 A Day in the Life

Your day might start with a stand-up with the data team to discuss progress on pipelines and architecture improvements. You'll spend time reviewing PRs, mentoring a junior engineer on Spark optimization, and then dive into designing a new data source integration using AWS and Terraform. Later, you might collaborate with data scientists to deploy a model into production on Kubernetes.

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Interview Prep

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🎯 Who Octopus Energy Is Looking For

  • You have experience operating at Staff/Tech Lead level in data engineering, with a track record of leading technical projects and mentoring team members.
  • You are passionate about decarbonisation and comfortable working with ambiguity, able to drive projects forward even when requirements are not fully defined.
  • You have deep expertise in distributed data processing, monitoring, testing, and data quality, with hands-on experience in Python, AWS, Kubernetes, Spark, dbt, and Terraform.
  • You are proficient in data warehousing solutions like Databricks and have a strong understanding of data platform architecture and best practices.

📝 Tips for Applying to Octopus Energy

1

Highlight specific examples where you have optimized data platform architecture for reliability, scalability, and maintainability, including metrics or outcomes.

2

Demonstrate your experience with coaching and mentoring by describing how you have helped team members grow and adopt best practices.

3

Show your passion for decarbonisation by mentioning any relevant projects, volunteer work, or personal initiatives related to renewable energy or sustainability.

4

Tailor your CV to emphasize your proficiency in the required tech stack (Python, AWS, Kubernetes, Spark, dbt, Terraform, Databricks) with concrete examples of projects.

5

In your cover letter, explicitly connect your experience with the job responsibilities: owning architecture, shaping team direction, and building data/ML pipelines.

✉️ What to Emphasize in Your Cover Letter

['Emphasize your experience as a Staff/Tech Lead in data engineering, particularly leading architecture decisions and mentoring.', "Express genuine passion for decarbonisation and how your skills can contribute to Octopus Energy's mission.", 'Highlight your ability to work with ambiguity and drive projects from concept to production.', "Describe your hands-on experience with the specific technologies listed (Python, AWS, Kubernetes, Spark, dbt, Terraform, Databricks) and how you've used them to solve real problems."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Octopus Energy's blog and tech talks to understand their current data platform and engineering culture.
  • → Look into their Kraken platform and how they use technology to disrupt the energy market.
  • → Research their sustainability initiatives and recent news about their expansion into renewables.
  • → Check out their GitHub or open-source contributions to see their tech stack and coding standards.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you design a data platform architecture on AWS using Kubernetes and Spark to handle real-time and batch data?
2 Describe a time you improved data quality and monitoring in a distributed data system. What metrics did you use?
3 How do you approach coaching a junior engineer on best practices for building data pipelines?
4 Explain how you would use dbt and Terraform to manage data transformations and infrastructure as code.
5 Given Octopus Energy's focus on AI, how would you build ML infrastructure to support data scientists in deploying models?
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⚠️ Common Mistakes to Avoid

  • Avoid being too generic about your leadership experience; provide specific examples of technical decisions you owned.
  • Don't downplay the importance of data quality and monitoring; this role emphasizes reliability and scalability.
  • Avoid lacking enthusiasm for the company's mission; Octopus Energy values candidates who are genuinely passionate about decarbonisation.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Octopus Energy !

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