Design and develop ETL/ELT data pipelines to feed enterprise Data Warehouses
Develop data integration processes based on business requirements and technical specifications
Create and maintain SQL and Python-based data processing solutions
Contribute to the implementation of CI/CD pipelines and deployment automation
Participate in data modelling activities and Data Warehouse design
Support the implementation of data engineering best practices and coding standards
Collaborate with senior engineers and business stakeholders to deliver reliable solutions
Contribute to continuous improvements of data and analytics platforms
Monitor, maintain, and optimize existing data pipelines and reporting processes
Investigate and resolve data quality and production issues
Support end-users in the usage of Dataiku and analytics solutions
Assist in the deployment and maintenance of data engineering artifacts across environments
Ensure the reliability, performance, and availability of data workflows
Participate in Agile ceremonies and contribute to project delivery activities
Document technical developments and operational procedures
Work closely with cross-functional teams to support business needs

+2 years of experience in Data Engineering, Business Intelligence, or Data Integration projects
Bachelor's degree in Information Technology, Computer Science, Business Intelligence, or a related field
Experience with ETL and/or ELT data integration processes
Strong SQL skills
Knowledge of Python and/or PySpark
Familiarity with Data Warehouse concepts and data modelling principles
Experience with Talend, Alteryx, or similar integration tools is appreciated
Knowledge of Apache Nifi, Dataiku, and/or Tableau is a plus
Familiarity with Agile methodologies and Jira is a plus
Banking or financial services experience is an advantage
Knowledge of Credit Risk concepts is a plus
Good command of Microsoft Office tools
Strong teamwork and collaboration skills
Client-focused mindset
Excellent attention to detail
Strong communication skills, both written and verbal
Proactive attitude and willingness to learn

Data Engineer

Key skills