Yu Energy

Data Engineer

• Implement modern engineering standards, including CI/CD, testing, code reviews, and robust data quality/governance controls within the data team.
• Ensure data quality, integrity, and governance through comprehensive testing, documentation, and monitoring processes.
• Provide technical guidance and leadership for the design, development, and maintenance of robust, automated data pipelines and data management processes.
• Design, build, and optimize scalable data solutions using Snowflake, Azure Data Services, and DBT for data transformation and modelling.
• Optimize performance and cost of data workloads within Snowflake (query tuning, warehouse sizing) and Azure environments.
• Manage and mentor a team of data engineers, supporting their professional development and career paths.
• Collaborate with data architects, analysts, data scientists, and business stakeholders to understand data requirements and deliver high-impact solutions.
• Plan work, estimate tasks, manage team's contribution to AGILE delivery via sprints and other key practices.
• Work closely with cross-functional teams, including IT, finance, marketing, and operations, to understand their data needs and provide strategic guidance.
• Collaborate with subject matter experts in these domains to ensure key requirements have been provided.
• Contribute to the Key Performance Indicators (KPIs) related to data quality, analytics, and business impact.

Senior Data Engineer