Job title: Analytics EngineerLocation: London / Bristol / Edinburgh Salary: £55,000 - £81,500Kaluza 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. What will I be doing?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:<ul><li>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).</li><li>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.</li><li>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.</li><li>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.</li><li>Performance Optimization: Optimise existing data processes for performance and scalability, ensuring that data can be processed quickly and efficiently.</li></ul> Is this the job for me?It could be if some of these apply<ul><li>You genuinely want to be in the front-line of the climate change battle.</li><li>You have experience with analytics engineering delivering analytical solutions, especially in the AWS / Databricks stack</li><li>You have experience with data modelling using SQL in systems such as DataForm or DBT</li><li>You have experience orchestrating complex systems using a system such as Composer/Apache Airflow or Luigi</li><li>You love building scalable, resilient analytical products</li><li>You seek learning opportunities to deepen your expertise or broaden your knowledge</li><li>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</li><li>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</li><li>You have experience creating and productionising machine learning (ML) pipelines</li><li>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.</li></ul> Kaluza ValuesHere at Kaluza we have five core values that guide us as a business:  We’re on a mission, We build together, We’re inclusive, We get it done, We communicate with purpose.Our values are not words on a wall — they are at the heart of our culture. They are how we make decisions and how we treat each other. They are concrete and clear, and reflect what we as people, and as a business, really care about.Kaluza’s vision is to power a world where net-zero is within everyone’s reach. Would you be interested in joining us to help achieve this? From us you’ll get<ul><li>Pension Scheme</li><li>Discretionary Bonus Scheme</li><li>Private Medical Insurance + Virtual GP</li><li>Life Assurance</li><li>Access to Furthr - a Climate Action app</li><li>Free Mortgage Advice and Eye Tests</li><li>Perks at Work - access to thousands of retail discounts</li><li>5% Flex Fund to spend on the benefits you want most</li><li>26 days holiday</li><li>Flexible bank holidays, giving you an additional 8 days which you can choose to take whenever you like</li><li>Progressive leave policies with no qualifying service periods, including 26 weeks full pay if you have a new addition to your family</li><li>Dedicated personal learning and home office budgets</li><li>And more…</li></ul>Even better? You’ll have access to these benefits from day 1 when you join.We want the best peopleWe’re keen to meet people from all walks of life — our view is that the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential.We understand some people may not apply for jobs unless they tick every box. But if you're excited about joining us and think you have some of what we're looking for, even if you're not 100% sure, we'd still love to hear from you.Find out more about working in <a href="http://kaluza.com">Kaluza</a> on our <a href="https://careers.kaluza.com/">careers page</a> and <a href="https://www.linkedin.com/company/kaluza/">LinkedIn</a>. You can also find our Applicant Data Protection Policy <a href="https://kaluza-careers.cdn.prismic.io/kaluza-careers/Z5umd5bqstJ9-DZw_2024ApplicantDataProtectionNotice.pdf">here</a>.

Kaluza is the intelligent energy platform enabling the world&rsquo;s largest energy companies to lead the way in the energy transition. From revolutionising energy retail operations to smart electric vehicle charging, our software is empowering energy suppliers to deliver market-leading experiences for their customers and drive decarbonisation.&nbsp;
Launching in 2019, we&rsquo;ve grown rapidly to over 400 employees across the UK, Portugal and the US. We pride ourselves on technical excellence and building a platform that has a real, positive impact in a fast-evolving industry.&nbsp;
We&rsquo;re on the lookout for talented problem solvers, who are determined to make a difference to the world. Sound like you? Find out more about life at Kaluza&nbsp;<a class="body-text-link hyperlink" href="https://careers.kaluza.com/life-at-kaluza">here</a>.

Analytics Engineer

Job title: Analytics EngineerLocation: London / Bristol / Edinburgh&nbsp;Salary: £55,000 - £81,500Kaluza 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.&nbsp;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.&nbsp;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.&nbsp;What will I be doing?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:<ul><li>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).</li><li>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.</li><li>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.</li><li>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.</li><li>Performance Optimization: Optimise existing data processes for performance and scalability, ensuring that data can be processed quickly and efficiently.</li></ul>&nbsp;Is this the job for me?It could be if some of these apply<ul><li>You genuinely want to be in the front-line of the climate change battle.</li><li>You have experience with analytics engineering delivering analytical solutions, especially in the AWS / Databricks stack</li><li>You have experience with data modelling using SQL in systems such as DataForm or DBT</li><li>You have experience orchestrating complex systems using a system such as Composer/Apache Airflow or Luigi</li><li>You love building scalable, resilient analytical products</li><li>You seek learning opportunities to deepen your expertise or broaden your knowledge</li><li>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</li><li>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</li><li>You have experience creating and productionising machine learning (ML) pipelines</li><li>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.</li></ul>&nbsp;Kaluza ValuesHere at Kaluza we have five core values that guide us as a business:&nbsp;&nbsp;We’re on a mission, We build together, We’re inclusive, We get it done, We communicate with purpose.Our values are not words on a wall — they are at the heart of our culture. They are how we make decisions and how we treat each other. They are concrete and clear, and reflect what we as people, and as a business, really care about.Kaluza’s vision is to power a world where net-zero is within everyone’s reach. Would you be interested in joining us to help achieve this?&nbsp;From us you’ll get<ul><li>Pension Scheme</li><li>Discretionary Bonus Scheme</li><li>Private Medical Insurance + Virtual GP</li><li>Life Assurance</li><li>Access to Furthr - a Climate Action app</li><li>Free Mortgage Advice and Eye Tests</li><li>Perks at Work - access to thousands of retail discounts</li><li>5% Flex Fund to spend on the benefits you want most</li><li>26 days holiday</li><li>Flexible bank holidays, giving you an additional 8 days which you can choose to take whenever you like</li><li>Progressive leave policies with no qualifying service periods, including 26 weeks full pay if you have a new addition to your family</li><li>Dedicated personal learning and home office budgets</li><li>And more…</li></ul>Even better? You’ll have access to these benefits from day 1 when you join.We want the best peopleWe’re keen to meet people from all walks of life — our view is that the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential.We understand some people may not apply for jobs unless they tick every box. But if you're excited about joining us and think you have some of what we're looking for, even if you're not 100% sure, we'd still love to hear from you.Find out more about working in&nbsp;<a href="http://kaluza.com">Kaluza</a> on our <a href="https://careers.kaluza.com/">careers page</a> and <a href="https://www.linkedin.com/company/kaluza/">LinkedIn</a>. You can also find our Applicant Data Protection Policy <a href="https://kaluza-careers.cdn.prismic.io/kaluza-careers/Z5umd5bqstJ9-DZw_2024ApplicantDataProtectionNotice.pdf">here</a>.&nbsp;

Analytics Engineer

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Kaluza

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