Data Engineer

Role Overview: To build and operationalize data-driven solutions for renewable energy assets by developing scalable data pipelines and applications to support forecasting, optimization, and visualization initiatives.

Key Responsibilities:

Data Engineering & Pipeline Development Build and maintain automated data pipelines Work with APIs and databases Develop Python-based workflows Data Quality & Validation Ensure data accuracy and completeness Implement monitoring and validation checks Automation Automate manual workflows Stakeholder Collaboration Translate business

requirements

into data solutions Documentation Maintain documentation of data logic, workflows, scripts, data sources, and process dependencies.

Requirements

Required

Skills:

Python, SQL Azure / GCP ETL pipelines, APIs Domain

Skills:

Time-series data analysis Good to Have: Renewable energy systems knowledge

Benefits

Opportunity to work with a dynamic and fast-paced engineering IT organization. Be part of a company that is passionate about transforming product development with technology.

into data solutions Documentation Maintain documentation of data logic, workflows, scripts, data sources, and process dependencies.

Requirements

Required

Skills:

Python, SQL Azure / GCP ETL pipelines, APIs Domain

Skills:

Time-series data analysis Good to Have: Renewable energy systems knowledge

Benefits

Opportunity to work with a dynamic and fast-paced engineering IT organization. Be part of a company that is passionate about transforming product development with technology.