Senior Data Engineer - Kaluza｜Meet.jobs

Kaluza’s vision is to help build a world where decarbonization is easy. Kaluza is the AI platform powering the future of energy. 

 

From revolutionising customer billing to smart electric vehicle charging, our technologies are empowering some of the biggest energy suppliers to better serve millions of customers and unlocking the benefits of renewable energy and smart devices to help decarbonise the grid. Our products are built with differentiation in mind, giving developers endless ability to extend our core capabilities.

 

From revolutionising billing to smart electric vehicle charging, Kaluza’s technology is empowering some of the biggest energy suppliers to better serve millions of customers. Its real-time cloud platforms transform supplier operations, reducing cost to serve, boosting customer engagement and enabling them to drive decarbonisation with smart, low carbon technologies.

 

Kaluza’s Energy Retail Platform

 

As the world’s energy needs evolve, suppliers with legacy systems are struggling to stay on top of increasingly complex and changing data, at great expense. Kaluza leverages advanced automation to simplify previously unmanageable volumes of live customer and industry data. The SaaS platform intelligently learns from new data in real time and self-updates at scale, removing the need for manual maintenance. In doing so, Kaluza creates considerable cost savings for suppliers enabling them to instead invest in innovating for tomorrow’s customers and future-proofing their business for a zero-carbon world.

 

What will I be doing?

 

You’ll be developing analytical products, which surface insight through the platform for both internal analysts and external clients. You’ll start by operationalising our analytics data-mart, after which you will work on more advanced products, such as real-time stream analysis and self-service exploration tools. You’ll be working in a close-knit agile team with several other developers, a product manager and a software engineering manager.

 

Key responsibilities include:

 

Developing platform features: mainly coding in Python and SQL using data technologies including Google DataForm, Apache Airflow, BigQuery, and Kafka working using infrastructure as code (Terraform) and a data mesh architecture.

Improve data quality: implement automated data quality testing which drives a respect for data quality that ensures the analysis can be robust 

Stakeholder engagement: Working closely with insight analysts and the wider business to understand their needs from analytical products

Platform health: Defining and building effective monitoring for data platform health

High-quality engineering: Engaging with our data community and wider tech team to support adoption of good engineering and data governance practices

REQUIREMENTS

Is this the job for me?

 

It could be if some of these apply

 

You genuinely want to be in the front-line of the climate change battle.

You have experience with data engineering delivering analytical solutions, especially in the Google 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, Luigi or Google Workflows

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.

PERKS

From us you’ll get

 

26 days annual leave per calendar year + bank holidays

Private Medical Insurance 

Life Assurance 

Daily food allowance

Discretionary annual bonus

Sunlight (equivalent of £350 per calendar year to spend on developing yourself)

One-off home working allowance (equivalent of £200 that you can expense for things like chair, desk etc)

Policies (we don’t yet have Lisbon-specific policies, but where legally-possible, the sentiment of our UK policies will apply to you)

Flexible working — we trust you to work in a way that suits your lifestyle

And more...

Even better? You’ll have access to these benefits from day 1 when you join.