Data Engineer

Tasks

- Design, implement, and maintain ETL/ELT data pipelines (batch and near real-time) using Qlik, Talend, and related integration components. - Develop and operate ESB-style integrations between core banking systems, data platforms, and downstream applications to ensure robustness, scalability, and reliability. - Assume operational responsibility for Talend (change management, data quality management, SLA monitoring, SOPs, and runbooks). - Monitor and ensure the smooth operation of critical data pipelines, including incident analysis, root cause identification, and the implementation of preventive measures. - Apply CIGCD practices using the existing toolbox to automate and streamline deployments and configuration changes. - Implement controls using the observability framework to ensure service continuity and accuracy. - Create, maintain, and improve documentation and operational procedures for the data integrations under your responsibility. - Collaborate with cross-functional teams (application owners, architects, business analysts, data consumers) to design integration patterns and improve governance over data flows. - Contribute to the standardization and industrialization of integration patterns to promote convergence, normalization, and reusability across projects. - Stay up to date with advances in data engineering, ETL/ESB technologies, and cloud-based integration platforms to support the continuous improvement of our DataOps capabilities.

Requirements

• At least 5 years of practical experience in data engineering and data integration, with a strong focus on ETL/ELT pipelines and ESB-style integrations.
• Solid experience with Qlik Talend ETL and ESB on-premises, including job design, orchestration, error handling, and performance optimization.
• Strong ETL and data modeling skills, including the ability to handle large datasets, perform complex transformations, and integrate heterogeneous data sources.
• Strong knowledge of SQL and experience with relational databases and/or cloud data platforms.
• Experience applying CIGCD practices and tools in a hybrid environment (e.g., Azure DevOps, GitHub Actions) to data integration components.
• Familiarity with ESB concepts, API-based integrations, messaging, and event-driven patterns is a major plus.
• Experience with data quality, metadata management, and data lineage tools or frameworks is a plus.
• Enjoy providing technical support for the Talend platform and data integration workflows (incident analysis, troubleshooting).
• Strong communication and collaboration skills to work closely with technical and business stakeholders.
• Rigorous and methodical in documentation, process development, and change management.
• Strong interest in the standardization, convergence, and reusability of integration components.
• Curious, enthusiastic, and proactive, with a hands-on approach and a strong desire to learn and grow in a challenging environment.
• Passionate about data processing and integration technologies.
• Fluent in spoken and written English; French is a skill