Job Description
Job title: Analytics Engineering Manager
Location: London / Bristol / Edinburgh
Closing date for applications: Monday 21st May
Kaluza wants to power a world where net-zero is within everyone’s reach, by building the platform that will accelerate a sustainable, affordable and resilient energy transition. It’s a huge challenge, but often the toughest problems are the most rewarding to solve.
Since launching in 2019, Kaluza’s technology has been empowering some of the biggest energy suppliers to better serve millions of customers.
From revolutionising billing to smart electric vehicle charging, our real-time cloud platforms transform supplier operations, reducing cost to serve and boosting engagement. And most importantly, they enable suppliers' customers to drive decarbonisation with smart, low carbon technologies.
We have a strong flexible, hybrid working ethos, we aim to be as flexible as possible to balance work with life. Teams can choose how and where to work, whether it’s from one of our lovely offices or from home or a mixture of both. Each team is different but we do like to get together monthly/quarterly as teams - if they are not at your local office we will cover the costs of travel and accommodation if necessary. As a company we come together annually for our conference and end of year celebrations!
Where in the world of Kaluza will I be working?
You will be joining the Kaluza Data community. Data is the foundation of everything we do as an organisation, and to deliver our vision we need curious, tenacious people who can turn this data, and their knowledge, into insight, strategy and actions.
You’ll be working on the Kaluza platform. This is a technology platform that aims to revolutionise the operating platforms for energy retailers globally. This platform is being built with globalisation and regionalisation in mind and is the foundation for decarbonisation efforts by Kaluza’s customers. We are looking to transform to an international ready model to help the business take on new challenges and external customers.
What will I be doing?
As an analytics engineering manager, you will be responsible for line managing multiple data engineers, analytical engineers and data analysts throughout Kaluza, either in data platform, product or business functions. You will assist your team in the scoping, planning and delivery of data engineering and analytics engineering projects, assuming accountability for their execution, and flexing your time as you see necessary. You will introduce thought-leadership on how to deliver excellent analytical and data engineering to the wider practice and contribute to cultivating a positive analyst+ community. It’s an exciting time currently at Kaluza to contribute to our future state architectural decisions with the opportunity to shape our data estate to represent the best analytical engineering practices.
Responsibilities:
- Perform line management duties for a team of analysts, data engineers and analytical engineers across multiple domains with a range of seniority.
- Scope and lead data engineering and analytics engineering projects for the whole platform, identifying opportunities and challenges. Provide technical support on these projects where it’s needed.
- Align with data leads from across the organisation to establish a consistent approach to development and introduce best practice to the data+ community.
- Mentor and coach analysts and analysts, data engineers and analytical engineers, encouraging them to question requirements and understand the value of the work they deliver.
- Play an active and constructive role in making the data team a great place to work for everyone.
- Help to prioritise work based on business impact and urgency, managing stakeholders where tough decisions are required.
Is this the job for me?
It could be if some of these apply:
- You are a dedicated leader who enables collective success and have experience in leading teams of data analysts/analytical engineers/data engineers.
- You are passionate about developing others and helping people become the best version of themselves through coaching and feedback. You have a strong focus on Diversity, Equity and Inclusion, supporting your team and those around you as individuals.
- You are able to draw on your significant experience in analytical and data engineering roles (inclusive of manager experience roles) to deliver high quality, actionable data pipelines and analytics.
- You are aware of the benefits and risks of different data design and tooling choices.
- You have excellent presentation and communication skills and are able to articulate results clearly and concisely to senior stakeholders using both technical and non-technical language to fit your audience.
- You have experience in designing and building data pipelines, strategic data architectural decisions and high quality “datamart” objects across different business functions, e.g. product, finance, strategy, etc.
- You have experience working with a modern analytics stack, for example:
- SQL
- GitHub
- Data orchestration tooling (e.g. dataform, dbt)
- Native cloud services or products (e.g. AWS/GCP)
- Programming language (e.g. python)
- BI tooling (e.g. Tableau)
- You have both theoretical knowledge and hands-on experience in using advanced analytical and analytical/data engineering techniques.
- You are curious and open-minded with a voracious appetite to learn.
Kaluza Values
Here 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.
- Perks at Work - access to thousands of retail discounts
- 5% Flex Fund to spend on the benefits you want most
- 26 days holiday
- Flexible bank holidays, giving you an additional 8 days which you can choose to take whenever you like
- Progressive leave policies with no qualifying service periods, including 26 weeks full pay if you have a new addition to your family
- Dedicated personal learning and home office budgets
- Flexible working — we trust you to work in a way that suits your lifestyle
Even better? You’ll have access to these benefits from day 1 when you join.
We want the best people
We’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.
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