We are seeking a highly skilled Senior Data Engineer with strong expertise in PySpark and data modelling to join our Digital Platforms delivery team.
Requirements
- Design, develop, and maintain scalable data pipelines using PySpark and distributed data processing frameworks
- Build and optimize ETL/ELT workflows for large-scale structured and unstructured datasets
- Implement robust data models (dimensional, relational, and data vault) aligned with business requirements
- Work closely with stakeholders, data analysts, and business teams to translate requirements into technical solutions
- Ensure data quality, governance, and consistency across multiple data sources
- Optimize performance of Spark jobs and handle large datasets efficiently
- Collaborate with DevOps teams for deployment, CI/CD, and monitoring of data pipelines
- Troubleshoot data issues and ensure high availability and reliability of data systems
- Contribute to data platform architecture and best practices within the Data Engineering chapter
Benefits
- Competitive salary
- Benefits package
- Opportunities for growth and professional development
