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Job Description
The Senior Data Engineer at EnergyHub is responsible for designing, developing, and maintaining large-scale data processing systems to support virtual power plant operations, collaborating with cross-functional teams to optimize energy management and decarbonization efforts.
Key Responsibilities
- Design and implement processes for ingesting, processing, observing, and maintaining billions of data points with performance, accuracy, security, and compliance in mind
- Manage access, roles, and security for Snowflake data platform
- Architect data schemas and data flow collaboratively to support data operations
- Collaborate with teams to balance business priorities and technical reliability
- Monitor and optimize cloud costs related to data infrastructure
- Mentor and train team members and cross-functional partners in data engineering best practices
- Build and maintain scalable, high-performance data systems and pipelines
- Ensure data security, quality, and compliance throughout the data lifecycle
Requirements
- A storied career in data engineering, with experience in scaling systems multiple times over and a solid archive of well-architected systems and analyses.
- Proven proficiency with AWS, Snowflake, dbt, Airflow, Docker, Fivetran, Hightouch, Sigma, Jira, Confluence, Slack, or comparable tools, demonstrating the ability to manage and utilize these technologies effectively.
- Experience designing processes for ingesting, processing, observing, and maintaining billions of data points with performance, accuracy, security, and compliance in mind, considering the full data lifecycle.
- Ability to manage access, roles, and security for Snowflake instances, including architecting schema and data flow through collaborative and inclusive processes.
- Strong understanding of the difference between OLAP and OLTP RDBMS systems, with demonstrable experience planning and implementing high-performance data processes using both types of systems.
- Experience monitoring cloud costs across various tools to maintain efficiency and justify expenses.
- Excellent skills in SQL and Python, with the ability to bring clarity and sanity to syntactic complexity.
- A proactive approach to observability, ensuring relevant details are logged for rapid troubleshooting and issue resolution.
- Ability to collaborate effectively with engineering teams, product teams, support, and business partners, building and maintaining relationships across diverse teams.
- Strong communication skills, with a penchant for concise clarity in communication, code, and documentation.
- A warm and inclusive attitude towards colleagues and collaborators, with an urge to help others succeed and pay forward generosity.
- Experience in architecting and implementing high-performance data systems, with a focus on quality and performance in all work.
- Ability to work in a collaborative environment, supporting team goals and mentoring others as needed.
- Physical ability to work fully from the office in Krakow, Poland, with occasional remote work flexibility.
- Understanding of data security, roles, and access management in cloud environments.
- A demonstrated obsession with quality, performance, and security in data engineering tasks.
- Willingness to perform other duties as assigned, indicating flexibility and adaptability.
Benefits & Perks
Long-term employment based on a permanent employment contract
Attractive benefits package including medical care, life insurance, sports package, annual budget for professional development 2,000
Work fully from the office with the possibility to work remotely occasionally
Opportunity to work with the latest technologies in IoT, SaaS, and machine learning
Make an immediate impact with real responsibility from day one
Gain well-rounded experience across multiple areas of the business
Collaborate with outstanding people and learn from each other
Ready to Apply?
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