Data Engineer

We are looking for a Data Engineer to join a team focused on building reliable, scalable data solutions. In this role, you will create and enhance cloud-based data pipelines, organize data for analytics, and help ensure that business teams have access to trusted information. This position also partners closely with technical and non-technical stakeholders to turn reporting and data needs into practical engineering outcomes.

Responsibilities:

• Create and support scalable data ingestion and transformation workflows using Azure Data Factory, Databricks, and PySpark.
• Connect and consolidate data from enterprise platforms, operational databases, telematics feeds, APIs, and other internal or external sources.
• Structure and manage data within Azure Data Lake and lakehouse environments to support performance, accessibility, and long-term maintainability.
• Design curated datasets, data models, and schemas that improve usability for analytics, business intelligence, and downstream reporting.
• Apply governance and lineage practices through Unity Catalog while promoting strong data quality, consistency, and security standards.
• Work with business stakeholders and cross-functional teams to gather requirements, define technical specifications, and deliver data solutions aligned with operational needs.
• Improve pipeline stability and efficiency by troubleshooting failures, resolving performance issues, and refining storage and query strategies.
• Support Power BI reporting by preparing datasets, assisting with model improvements, and helping maintain reporting standards and governance practices.
• Use GitHub-based development practices for version control, peer review, CI/CD, and disciplined deployment processes.
• Mentor less-experienced engineers and contribute to a collaborative environment focused on continuous improvement and dependable delivery.