
Data Infrastructure Engineer
10 hours ago
Greenely is on a mission to create the best customer experience for the modern energy consumer through technology. Our smart app helps people reduce their electricity costs by optimizing their home and car's electricity usage. Supported by Nordic venture capital companies, we aim to enable households worldwide to connect, control, and optimize their energy usage.
Our Vision
We believe that the best electricity is the one that is never used - a win-win for both wallets and the environment. To achieve this vision, we need talented professionals like you to join our team and help us drive innovation and growth.
The Role
As a Senior Data Engineer at Greenely, you will play a critical role in shaping our data strategy and driving business outcomes through data-driven decision-making. You will work closely with our product, engineering, and analytics teams to design and implement scalable data architectures, ensuring data reliability and security, and collaborating with cross-functional teams to drive business growth.
Key Responsibilities
- Design and implement robust, secure, and scalable data infrastructure for both operational and analytical data pipelines.
- Work together with leadership and stakeholders to ensure data brings maximum value to Greenely's business.
- Implement system for life-cycle management and version control of ML models including training- and evaluation datasets.
- Create system support to track what data is stored where, for what purpose and who has access to it.
Requirements
To succeed in this role, you will need to have a strong background in data architecture, engineering, and governance, as well as experience working with real-time data streaming technologies. You should also have excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams to drive business outcomes.
Benefits
- Flexible work arrangements to support your work-life balance.
- Growth opportunities within our forward-thinking organization.
- Influence and impact in shaping our data strategy and driving business outcomes.
- Dynamic and innovative work environment that values collaboration, creativity, and continuous learning.
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