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Analytics Engineer

Job in Bristol, Bristol County, BS1, England, UK
Listing for: Kaluza
Contract position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 38400 - 52800 GBP Yearly GBP 38400.00 52800.00 YEAR
Job Description & How to Apply Below
Position: Analytics Engineer - 12 Month Fixed Term Contract

Overview

Job title: Analytics Engineer

Location: London, Bristol or Edinburgh (Including Hybrid)

Salary: £38,400 - £52,800

Team: Analytics Engineering team

Reporting To: Analytics Engineering Manager

This role is based in London, Bristol or Ediburgh and requires an existing right to work in the UK.

At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship.

Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today’s challenges while accelerating the shift to a clean, electrified future.

Our platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life.

With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.

At Kaluza we embrace a flexible, hybrid work model that balances autonomy with the power of in-person connection. Many of our teams find value in coming together regularly to collaborate, strengthen relationships, and accelerate progress. We’re focused on shaping thoughtful, team-driven approaches that support both business impact and individual well-being.

What will I be doing?

As an Analytics Engineer, you will play a pivotal role in architecting the foundation of our global reporting capabilities. Your primary focus over the coming year will be the design and implementation of a high-performance, scalable dimensional model built to serve multiple global clients.

This role is not just about moving data; it is about the sophisticated translation of complex schema designs into production-ready SQL. You will be the bridge between abstract data architecture and the high-performance scripts that power our business intelligence.

Responsibilities
  • Dimensional Model Architecture:
    Lead the transition to a robust, multi-tenant dimensional model. You will be responsible for ensuring the architecture is scalable enough to onboard several major global clients without compromising performance.
  • Expert SQL Development:
    Translate complex schema designs into high-quality, performant SQL scripts. You will own the logic that transforms raw, disparate data into structured clean tables.
  • Global Scalability:
    Design and optimise data structures that handle high volume and variety, ensuring that our data infrastructure evolves ahead of our expanding international client base.
  • Stakeholder Translation:
    Act as a key technical partner for business stakeholders. You must be able to navigate complex requirements from various departments and translate them into technical specifications and elegant data models.
  • Data Integrity & Performance:
    Rigorously test and optimise SQL queries and data transformations to ensure "single source of truth" reliability and lightning-fast query response times for end-users.
Qualifications

Must-Haves

  • Advanced SQL Mastery:
    You are an expert in writing, tuning, and debugging complex SQL. You understand window functions, CTEs, and query execution plans inside and out.
  • Stakeholder Management:
    Proven ability to communicate technical concepts to non-technical audiences and manage competing priorities from multiple business units.
  • Engineering Mindset: A focus on writing clean, modular, and reusable code.

Nice-to-Haves

  • Data Modelling Expertise:
    Practical experience with Star Schema and Kimball methodologies.
  • Modern Data Stack:
    Experience using Databricks for processing and dbt for transformation workflows.
  • Global Delivery:
    Experience building data products designed for multi-region or multi-client environments.
Benefits
  • Pension Scheme
  • Discretionary Bonus Scheme
  • Private Medical Insurance + Virtual GP
  • Life Assurance
  • Access to Furthr - a Climate Action…
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