Senior Data Engineer

Responsibilities: - Build and maintain reliable data pipelines using Databricks, dbt, Airbyte and Airflow. - Contribute to the architecture and modeling of our enterprise data foundation. - Develop high-quality, well-tested transformation logic, ensuring consistency and reusability. - Enable company-wide BI by delivering trusted, documented, and performant datasets to analysts and product teams. - Optimize data workflows for scale, reliability, and cost efficiency. - Help define engineering standards, best practices, and documentation across the data platform. - Support onboarding and evangelization of modern data practices across the organization. Qualifications: - 3+ years of experience in data engineering. - Hands-on experience with modern data stack components. - Strong SQL skills and experience with data modeling. - Familiarity with Python for data processing and pipeline orchestration. - Knowledge of cloud data ecosystems (Azure, AWS, or GCP), warehousing, and distributed data processing. - Good understanding of CI/CD, version control, and environment management for data workflows. - Experience working with BI teams and enabling analytics use cases. - A mindset focused on quality, reusability, and long-term maintainability of data assets. Professional Attributes: - Passionate about modern data engineering and motivated to help shape a scalable data platform. - Curious and eager to learn new tools & technologies. - Comfortable collaborating with cross-functional teams. - Proactive, autonomous, and able to propose improvements.