описание
We are looking for an experienced Data Engineer to join a project in the banking sector, focusing on data engineering, ETL/ELT pipelines, data modelling, and risk analytics. The professional will contribute to the development and optimization of scalable data solutions, supporting financial risk reporting, data integration, and automation initiatives. A significant part of the role will involve supporting a cross-functional modelling and simulation platform, ensuring efficient data processing, code quality, and reliable deployment.
задачи
- Design, develop, and optimize high-performance ETL/ELT data pipelines.
- Develop and maintain data models, schemas, and scalable data architectures.
- Implement CI/CD pipelines to automate workflows and application deployments.
- Develop, transform, and optimize code using Python, PySpark, and SQL.
- Support development teams with coding, troubleshooting, and performance optimization.
- Ensure operational reliability, maintenance, and continuous improvement of data solutions.
- Provide technical support to Dataiku users, promoting best practices.
- Collaborate with stakeholders and provide technical guidance to junior team members.
требования
- Relevant professional experience as a Data Engineer.
- Strong knowledge of ETL/ELT processes and data integration.
- Proficiency in SQL.
- Proficiency in Python and/or PySpark.
- Experience with CDP or HDP architecture.
- Knowledge of CI/CD pipelines, data modelling, and code optimization.
- Bachelor's degree in Information Technology, Computer Science, Business Intelligence, or a related field.
- English C1 (mandatory).
- Proficiency in Microsoft Office tools.
- Будет плюсом: Experience with Dataiku, SAS, or Apache NiFi; Knowledge of Agile methodologies and Jira; Previous experience in the banking sector; Understanding of credit risk and financial risk reporting; Basic knowledge of French and Portuguese
условия
- Rate Between €3000 - 3300 RV / €1800 - 2100 CTI (gross value)
