Data Engineer

Tasks

• Design, implementation, and maintenance of ETL/ELT data pipelines (batch and near real-time) using Qlik, Talend, and related integration components.
• Development and operation of ETL-style integrations between core banking systems, data platforms, and downstream applications to ensure robustness, stability, and maintainability.
• Assume operational responsibility for Talent (change management, data quality management, SLA monitoring, JMPs, and notebooks).
• Monitor and ensure the smooth operation of critical data pipelines, including incident analysis, root cause identification, and the implementation of preventive measures.
• Implementation of CICD practices using the existing framework to automate and streamline deployments and configuration changes.
• Implement controls using the observability framework to ensure service continuity and accuracy.
• Collaborate with cross-functional teams (application owners, architects, business analysts, data consumers) to design and implement patterns and improve governance around data flows.
• Contribute to the standardization and industrialization of integration patterns to promote convergence, normalization, and reusability across projects.
• Stay up to date on advancements in data engineering, ETL/ELT technologies, and cloud-based integration platforms to support the continuous improvement of our DataOps capabilities.

Requirements

• At least 5 years of verifiable hands-on experience in data engineering and data integration, with a strong focus on ETL/ELT pipelines and ETL-style integrations.
• Solid experience with Qlik Talend ETL and on-premises ETL, 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 CI/CD practices and tools in a hybrid environment (e.g., Azure DevOps, GitLab/Git Actions) to data integration components.
• Familiarity with ETL concepts, API-based integrations, messaging, and event-driven patterns would be a strong plus.
• Experience with data quality, metadata management, and data lineage tools or frameworks (e.g., Informatica) is a plus.
• Enjoys providing operational support for "Talent" jobs 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 standardization, convergence, and the 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