Join Ebenezer New as a Data Engineer to build reliable data infrastructure for renewable energy operations. You will make operational, performance, and forecasting data accurate, accessible, and useful for business decision-making.
Responsibilities
Build and maintain scalable data pipelines that ingest operational, asset, weather, and business data.
Develop ETL/ELT workflows to transform raw data into analysis-ready datasets.
Design and manage data models and storage structures for reporting and forecasting use cases.
Implement data-quality checks, validation rules, monitoring, and issue resolution processes.
Partner with operations and business stakeholders to define data requirements and metrics.
Support dashboards, performance analysis, and forecasting by delivering trusted datasets.
Document pipelines, data models, definitions, and operational procedures.
Improve pipeline reliability, performance, security, and maintainability over time.
Requirements
3+ years of practical experience in data engineering, analytics engineering, or a related data role.
Strong SQL skills for querying, transforming, and validating large datasets.
Proficiency in Python for data processing, automation, and pipeline development.
Hands-on experience building and maintaining ETL or ELT pipelines.
Experience with database design, data modelling, and structured data storage.
Working knowledge of cloud data platforms and modern data tooling.
Demonstrated attention to data quality, validation, documentation, and reliability.
Ability to work independently and communicate clearly with remote, cross-functional stakeholders.
Benefits
Opportunity for performance-based incentives, subject to company policy.
Support for relevant professional development and technical learning.
Access to paid leave in line with company policy and applicable requirements.
Opportunity to contribute to renewable energy initiatives through remote work.
Consideration for health and wellbeing support, subject to the final employment package.
