About the job
Join our innovative team as a Data Engineer within the Data Engineering Chapter, supporting the Group Operations Team. As a vital contributor, you will partner with both business and technical stakeholders to define data needs, execute impact assessments, and create robust, scalable data pipelines utilizing cutting-edge technologies such as PySpark.
Key Responsibilities
- Engage with the Group Operations Team to capture and evaluate data requirements
- Conduct impact assessments, technical data mapping, and data profiling
- Architect and implement data extraction, transformation, and loading (ETL) pipelines
- Enhance and fine-tune data pipelines using PySpark as part of the bank's modern technological ecosystem
- Craft data solutions that align with AECB application data models
- Guarantee data quality, integrity, and consistency across all systems
- Participate in unit testing, deployment, and production support
- Utilize advanced AI tools (e.g., Claude) to boost development efficiency and minimize operational errors
- Collaborate in an agile environment to foster continuous improvement initiatives

