Principal Data Solutions Engineer

4 days ago


Stockholm, Stockholm, Sweden Greenely Full time

Our Approach:

At Greenely, we believe in empowering individuals and communities to take control of their energy usage. Our innovative approach to energy consumption optimization involves developing cutting-edge technology solutions that make a real difference in people's lives.

Key Responsibilities:

  1. Develop Scalable Data Architectures: Design and implement data architecture designs that meet the needs of our users, ensuring data is reliable, secure, and scalable.
  2. Ensure Data Reliability and Consistency: Guarantee that data is consistent, accurate, and available for analysis by stakeholders.
  3. Implement Advanced Machine Learning Models: Develop and implement systems for life-cycle management and version control of ML models, including training- and evaluation datasets.
  4. Establish Effective Monitoring Systems: Set up processes to enable monitoring of key operational robustness metrics, ensuring problems are alerted and escalated in a timely manner.
  5. Develop Data Governance Frameworks: Create system support to track what data is stored where, for what purpose, and who has access to it, facilitating compliance with regulatory procedures and user requirements.
  6. Collaborate on Policy Development: Work with technical leadership to develop and implement relevant policies and procedures to enable scalability, regulatory compliance, and security aspects.

Requirements:

  • Expertise in Data Engineering: Experience designing and implementing scalable data architectures, including ETL pipelines and storage solutions.
  • Strong Understanding of Data Governance: Strong understanding of data governance frameworks, data cataloging, and regulatory compliance, ability to implement robust security protocols to ensure data privacy and protection.
  • Hands-On Experience in Data Pipeline Optimization: Experience building and optimizing data workflows for both operational and analytical use cases, ability to ensure data reliability, consistency, and availability through proactive monitoring and troubleshooting.


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