We are looking for a Senior Data Engineer with strong hands-on experience in Databricks and modern data platforms to design, build, and maintain scalable data solutions for analytics and BI.
The ideal candidate combines strong Data Engineering, SQL, data modeling, cloud, and system optimization skills, with the ability to take technical ownership and work closely with business and technical stakeholders.
Key Responsibilities
- Design and develop scalable data pipelines and data platforms using Databricks, SQL, Python, and PySpark.
- Build and optimize ETL/ELT processes for structured and semi-structured data.
- Optimize performance (including: monitor data injections, monitor queries,...)
- Work with Databricks, Delta Lake, Azure and/or Microsoft Fabric to build modern cloud data solutions.
- Ensure data quality, reliability, governance, and security across data solutions.
- Support integration between on-premise and cloud data sources.
- Provide reliable datasets and data models for Power BI / BI / analytics.
- Troubleshoot production issues, perform root-cause analysis, and continuously improve existing solutions.
- Take ownership of technical solutions and provide guidance to other team members.
- Work with business stakeholders to translate requirements into practical and scalable data solutions.