What we are looking for
Equilibrium Energy is building the platform that will power the clean energy transition. As a Senior Data Engineer, you will play a critical role in shaping our long-term data architecture. You'll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development.
This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You'll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence.
Design and Implementation
Design and implement the long-term data architecture using modern technologies and frameworks. Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt-ingesting data via APIs, web scraping, and streaming sources. Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster. Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store. Optimize workflows for performance and cost efficiency. Drive large, cross-functional data initiatives from planning to execution. Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics. Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products. Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design. Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing.
Minimum Qualifications
To be considered for this role, you will need:
Nice to Have