Location
London / Bristol / Edinburgh

Hours
Full Time - 12 Month Fixed Term Contract

Salary
£55,000 - £69,300 per annum

About the Role
Kaluza reimagines energy to bring net-zero within everyone's reach. Our intelligent platform enables energy utilities to unlock the full value of a radically changing energy system and propel us to a future where renewable energy is sustainable, affordable and accessible for all. From automating and simplifying core operations including billing to create a lower-cost, higher-engagement experience, to optimising energy usage across smart devices in the home, we turn tough challenges into win-win-win outcomes for customers, suppliers and the energy system.

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.

We also prioritise meaningful company-wide gatherings like our annual conference and end-of-year celebrations that bring us together to align, connect, and celebrate.

As an Analytics Engineer, you will be responsible for designing, developing, and optimising our data infrastructure and analytical tools. You will work closely with data engineers, data analysts, and business stakeholders to ensure that data is reliable, accessible, and actionable. Your role will involve transforming raw data into a more refined form, creating data models, and ensuring the data pipelines are efficient and scalable.

Key responsibilities include:
- Designing, building, and maintaining robust, scalable, and efficient data pipelines using tools like DBT, SQL, Python, and ETL frameworks
- Developing and maintaining logical and physical data models that support the company's reporting and analysis needs, implementing best practices for data warehouse design
- Transforming raw data from various sources into clean, reliable datasets for analysis and reporting, ensuring data quality and consistency
- Collaborating closely with data analysts, data scientists, and business stakeholders to understand data needs and translate these into technical solutions
- Optimising existing data processes for performance and scalability to ensure fast and efficient data processing

Experience
- Experience with analytics engineering delivering analytical solutions, preferably in the Databricks stack
- Experience with data modelling using tools such as DataForm or DBT
- Experience orchestrating complex data processing pipelines
- Experience designing and building large-scale data pipelines that utilise streaming technologies (e.g. Kafka Streams, Amazon Kinesis or similar)
- Comfortable working in an agile development environment using Terraform, continuous integration and continuous delivery best practices
- Experience with pair programming, CI/CD, and deployment strategies

About you
- Passionate about building scalable, resilient analytical products
- Motivated to deepen expertise or broaden knowledge in the data domain
- Background as a data engineer, analytics engineer, software engineer with interest in data modelling and transformation, or a highly motivated technical data analyst
- Collaborative team player who values clear communication and purposeful teamwork

Qualifications
No specific qualifications are mandated, but relevant experience and a strong technical background in data engineering and analytics are essential.

Benefits
Pension Scheme
Discretionary Bonus Scheme
Private Medical Insurance + Virtual GP
Life Assurance
Access to Furthr - a Climate Action app
Free Mortgage Advice and Eye Tests
Perks at Work - access to thousands of retail discounts
5% Flex Fund to spend on the benefits you want most
26 days holiday plus flexible bank holidays (an additional 8 days)
Progressive leave policies with no qualifying service periods, including 26 weeks full pay for new additions to your family
Dedicated personal learning and home office budgets
And more…

Benefits are available from day one of joining.