Data Engineer - Data Platform Team
10% of Europe's CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that.
With our intelligent Aira Heat Pump at the heart, we're making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slashing energy costs one home at a time.
Founded in 2022, and with 1000+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions and heat pumps. With a state-of-the-art production facility in Poland, an HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034.
About the role
We are looking for a Data Engineer to join our Data Analytics and ML team. We are looking for somebody who can continue building, improving, expanding and maintaining our data infrastructure and central back-end, from GCP fundamentals to collaborating with tech teams to set up their data serving pipelines, to enabling analytics engineers and domain experts to build data marts, dashboarding and data science efforts.
You are responsible for enabling other data experts in their developer experience, ensuring our data core platform is secure, stable and scalable, can run necessary pipelines for streaming and other sources, and serve data to other engineers or analysts in a reliable, compliant and convenient way.
Your work will be key to optimising the reliability and performance of our organisation and the different teams. You will build and maintain our data landscape, drive change in our tech and development processes, engineer solutions to enhance features, and be a part of our data architecture to propel solutions to further levels.
Your other responsibilities include:
- Enable data- and AI-driven software, insights and informed decisions through enabling data product building in an interoperable, agile and modern fashion
- Build components to enable data mesh distributed ownership of data assets, pipelines and analytics marts
- Develop end-to-end pipelines to ingest, transform and serve data assets
- Collaborate with analytics engineers, enabling them to move fast and efficiently in developing and managing data products based on raw source data
- Collaborate with software product development teams to allow them to to have autonomy in serving and consuming data in the landscape
- Introduce practices and tools to improve data reliability and performance
- Ingest crucial data to adjust future business strategies
Who are you
From a technical perspective, we would like you to have experience with:
- Data engineering, infrastructure as code, and building data pipelines and pipeline modules
- Streaming data, Kafka, schema registry
- Creating ELT/ETL pipelines for ingesting and transforming data
- Building, testing, and maintaining database and pipeline architectures
- Dagster, DBT, DLT, GCP, AWS
- Python, SQL, Java, Terraform
- GitHub CICD and deployment pipelines
- Kubernetes
- Lint and other code hygiene CI practices
- Data/analytics/ML in any major cloud platform
As a person, we would like you to be:
- Adaptable and hands-on solution while taking into account/having an interest for the holistic perspective
- A quick learner with a willingness to share knowledge
- A strong communicator and team player
Our commitment is to uphold equality and inclusivity, fostering a collaborative environment where everyone can thrive and contribute to a better future for our people and the planet.