onsite
Data Engineer - Lakehouse, Reporting, AI - VC5 Consulting
Data Engineer
Data Engineer focused on building and maintaining a Databricks Lakehouse platform, creating semantic models and dashboards, and ensuring data quality for AI and ML initiatives.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines in a Databricks Lakehouse environment.
- Collaborate with business stakeholders to build semantic data models and interactive dashboards that answer key business questions.
- Perform hands‑on data analysis using Python and Spark to uncover insights and support decision making.
- Implement data governance practices, ensuring data quality, lineage, and security across the lakehouse.
- Support AI and machine learning projects by delivering clean, well‑documented data products.
Requirements
- Proven experience with Databricks, Delta Lake, and Lakehouse architecture.
- Solid understanding of data modeling, ETL design, and data governance principles.
- Experience building dashboards and reporting solutions using BI tools.
- Strong communication skills and ability to translate business needs into technical solutions.
Skills
databrickspythonsql