Data Engineer

A global team responsible for delivering advanced reporting, analytics, modelling and simulation solutions, enabling data-driven decision-making, risk management and large-scale business transformation within a complex international environment.

• Design high-performance data pipelines (ETL) using state of the art data engineering techniques according to business specifications;
• Implement flow automation through CI / CD pipelines and end-to-end release of artifacts across environments;
• Design data models and schemas as well as providing architectural guidance;
• Transform and/or translate code;
• Support MS4U teams on coding phase;
• Optimize code developed by MS4U teams;
• Insure RUN code phase;
• Provide end-users with support on the handling of Dataiku, with support on the implementation of best practices;
• Coach and guidance towards junior team members, as well as stakeholders.

• Relevant professional experience as a data engineer is mandatory;
• Knowledge of ETL and / or ELT data integration processes is mandatory;
• Proficiency in SQL is mandatory;
• Proficiency in Python and / or PySpark is mandatory;
• Proficiency in CDP or HDP architecture is mandatory;
• Knowledge of Dataiku, SAS, Apache NiFi is a plus;
• Knowledge of Agile methodology and JIRA is a plus;
• Previous banking experience is a plus;
• Knowledge of credit risk is a plus;
• Proficiency in Microsoft Office Suite (Outlook, Excel, PowerPoint, Word).
• Bachelor’s degree in Information Technology, Computer Science, Business Intelligence or other relevant area
• English B2+