Analytics Engineer, Kaluza
£55-81.5k
+ Discretionary Bonus Scheme
1+ day a week in office
Intelligent software platform powering the future of energy
Be an early applicant
Intelligent software platform powering the future of energy
501-1000 employees
Be an early applicant
£55-81.5k
+ Discretionary Bonus Scheme
1+ day a week in office
501-1000 employees
Company mission
To help decarbonise the world.
Role
Who you are
- You genuinely want to be in the front-line of the climate change battle
- You have experience with analytics engineering delivering analytical solutions, especially in the AWS / Databricks stack
- You have experience with data modelling using SQL in systems such as DataForm or DBT
- You have experience orchestrating complex systems using a system such as Composer/Apache Airflow or Luigi
- You love building scalable, resilient analytical products
- You seek learning opportunities to deepen your expertise or broaden your knowledge
- You are a data engineer, analytics engineer or software engineer with an interest in the data domain (data modelling, data transformation, etc.) or highly motivated technical data analyst
- You are comfortable working in an agile development environment that employs continuous integration and continuous delivery best practices, and have experience of pair programming, BDD/TDD, CI/CD and deployment strategies
- You have experience creating and productionising machine learning (ML) pipelines
- You have experience designing and building large-scale data pipelines that utilise streaming technologies (e.g. Kafka Streams, Amazon Kinesis or similar) with an emphasis on the sourcing and transformation of data
What the job involves
- 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
- Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient data pipelines using tools like SQL, Python, and ETL frameworks (e.g., Airflow, dbt)
- Data Modeling: Develop and maintain logical and physical data models that support the company's reporting and analysis needs. Implement best practices for data warehouse design
- Data Transformation: Transform raw data from various sources into clean, reliable datasets that can be used for analysis and reporting, ensuring data quality and consistency
- Collaboration with Stakeholders: Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and translate these requirements into technical solutions
- Performance Optimization: Optimise existing data processes for performance and scalability, ensuring that data can be processed quickly and efficiently
Salary benchmarks
Our take
The energy landscape is one of the most dynamic and fast-evolving sectors in the world. More and more energy retailers are looking to move further toward digitisation and reap the benefits of modern technology in an increasingly connected world. But many are struggling with the transition, held back by legacy operating systems which slow them down, drain resources, and hamper innovation.
This is where Kaluza comes in. An ecosystem of platforms whose services range from energy billing to smart electric vehicle charging, Its real-time cloud platforms transform supplier operations, reducing the cost to serve and boosting customer engagement. Essentially, its platform is aimed at helping businesses streamline their operations, saving them time, effort, and money which can be better invested elsewhere.
Kaluza is riding the momentum of a growing desire for sustainable business and services. Its program relating to electric car charging, for example, will be able to capitalise on huge new demand in that sector - over 100,000 electric cars are already on the roads in the UK, and Bloomberg New Energy Finance has predicted that electric cars will account for over 50% of new global car sales by 2040. As the globe moves further towards sustainable use of energy in the coming years, Kaluza could be very well positioned to capitalise.
Freddie
Company Specialist at Welcome to the Jungle
Insights
33% employee growth in 12 months
Company
Funding (1 round)
Jun 2024
$100m
LATE VC
Total funding: $100m
Company HQ
Kensington, London, UK
Articles
Leadership
Melissa Gander
(CEO)Initially joined Kaluza as COO before becoming CEO in 2024. Previously worked at OVO Energy in a number of roles, including Managing Director of Smart Metering and Group COO. Prior to that, they worked at INEXUS as a Process and Performance Analyst and a Customer Manager.
People progressing
Joined as Senior Technical Product Manager in 2017, promoted after 2 years to Head of Product, promoted again in 2024 to their current position as Director of Product.
Joined Kaluza in 2020 as a Software Engineer, and in less than 2 years was promoted to Software Engineering Manager and again promoted in 2023 to Senior Software Engineer.
Diversity, Equity & Inclusion at Kaluza
- We are developing an dedicated Early Talent programme with a focus on underrepresented groups, offering different training opportunities within the business
- Our applicant tracking system, Greenhouse, also anonymously tracks the diversity of each candidate pipeline, so we can proactively take action when a pipeline needs to be more diverse
- We invest in tools, like Textio, and focused diversity job boards to help us reduce bias in our job postings and recruitment activity
- Commitment in improving diversity across our Tech Teams and working with companies to improve the tech ecosystem as a whole, specifically have committed to 25% Women in Tech by 2025
- We've signed up to numerous charters, like the Tech Talent Charter, Race at Work Charter and Trans in the City, to show our continuing commitment to improving I&D within Kaluza and the wider community
- Within Kaluza we have belonging communities set up, to offer support and forums for everybody
- We run monthly Inclusive Hiring Skills & Bias training that are open to all Kaluza employees
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