Application Guide

How to Apply for Analytics Engineer

at Kaluza

🏢 About Kaluza

Kaluza is a unique company at the intersection of energy and technology, specifically focused on empowering energy suppliers to drive decarbonisation through intelligent software. Unlike generic tech companies, Kaluza operates in the critical climate tech space, offering the opportunity to work on software that directly contributes to environmental sustainability while serving global energy clients.

About This Role

As an Analytics Engineer at Kaluza, you'll be architecting the foundation of global reporting capabilities by designing and implementing a high-performance, scalable dimensional model to serve multiple international clients. This role is impactful because you'll be building the core data infrastructure that enables energy suppliers worldwide to make data-driven decisions for decarbonisation, directly supporting Kaluza's mission.

💡 A Day in the Life

A typical day might involve collaborating with business stakeholders to understand new reporting requirements, designing scalable data models for upcoming global client onboardings, writing and optimizing complex SQL transformations to build clean data tables, and reviewing data architecture decisions with the engineering team to ensure performance and scalability. You'd be balancing immediate client needs with long-term infrastructure planning.

🚀 Application Tools

Generate Cover Letter

AI-powered, tailored for Kaluza

Interview Prep

Practice questions for this role

🎯 Who Kaluza Is Looking For

  • An SQL expert who can not only write complex queries but also optimize them for performance across large datasets, with deep knowledge of window functions, CTEs, and query execution plans
  • Someone with proven experience translating business requirements from multiple stakeholders into elegant, scalable data models, particularly for multi-tenant architectures
  • An engineer who prioritizes clean, modular, and reusable code in their data transformation pipelines
  • A professional who understands the challenges of scaling data infrastructure for global clients and can design systems that evolve ahead of business growth

📝 Tips for Applying to Kaluza

1

Highlight specific examples where you've designed or optimized dimensional models for scalability, especially in multi-tenant environments

2

Demonstrate your SQL expertise by including concrete metrics (e.g., 'optimized query performance by 70%' or 'reduced data processing time from 4 hours to 15 minutes')

3

Show how you've translated complex business requirements into technical specifications, particularly in energy, utilities, or climate-related domains

4

Emphasize experience with global data infrastructure scaling, mentioning specific challenges you've addressed with international clients or datasets

5

Include examples of clean, modular code practices in your data engineering work, possibly through GitHub links or detailed project descriptions

✉️ What to Emphasize in Your Cover Letter

["Your experience with dimensional modeling for multi-client/multi-tenant architectures and how it prepared you for Kaluza's global scaling needs", 'Specific examples of translating stakeholder requirements into technical data models, particularly in complex business environments', 'Demonstrated SQL expertise with concrete performance optimization achievements', "Why you're passionate about applying data engineering skills to climate tech and energy decarbonisation specifically"]

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Kaluza's specific software products and how they help energy suppliers with decarbonisation (beyond just the company mission statement)
  • → The energy supplier clients Kaluza works with and the specific decarbonisation challenges in the UK/global energy sector
  • → Recent news about Kaluza's expansion or new client acquisitions to understand their growth trajectory
  • → The technology stack Kaluza likely uses for data engineering (look at their engineering blog or job descriptions for other roles)

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk us through how you would design a scalable dimensional model for multiple global energy suppliers with different data structures
2 Describe a time you had to translate complex business requirements from non-technical stakeholders into a technical data model
3 How would you optimize a SQL query that's performing poorly on a large dataset with multiple joins and window functions?
4 What challenges have you faced when scaling data infrastructure for international clients, and how did you address them?
5 How do you ensure your data transformation code is clean, modular, and reusable across different projects or clients?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Focusing only on data analysis skills without demonstrating deep data engineering and architecture experience
  • Using generic SQL examples instead of showcasing complex query optimization and performance tuning
  • Failing to connect your experience to Kaluza's specific mission in energy decarbonisation and climate tech

📅 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 Kaluza!

← Back to Job Listing Apply Now →