Data Engineer
- Employment type
- Full-time
- Location
- Geneva
- First posted
• 25 June 2026
• 100%
• Indefinite duration
• Geneva
Data Engineer
Job Description
General Information
Department: IT Data Department
Work percentage: 100%
Location: Geneva
Our company
EFG International is a global private banking group, offering private banking and asset management services. We serve clients in over 40 locations around the world. EFG International offers a stimulating and dynamic work environment and strives to be an employer of choice.
EFG is committed to providing a fair and inclusive work environment based on the principle of mutual respect. Joining our team means living in a supportive environment where your contributions are valued and recognized. We firmly believe that the diversity of our teams gives us a competitive edge by promoting better decision-making and greater innovation.
Our purpose and mission
Empowering entrepreneurial minds to create value - today and for the future.
We are a private bank, offering customized solutions on a global scale to private and institutional clients. Our sustainable success is based on our talents and how we collaborate with our clients and communities to create lasting value.
Team Presentation
• The mission of the Data Ops services is to ensure adequate service of all data interfaces supported by our data platform. It covers a wide range of interfaces, from very critical order processing to more regular analytical systems.
• The Data Ops team supports global systems serving the entire group worldwide.
• As our platform and data landscape evolve, we want to strengthen our team with a qualified data engineer specializing in Talend and enterprise-level ETL/ESB integrations.
• As the technological landscape continues to evolve, our integration framework is also being modernized. Microservices, API gateway management, and Kafka are all technologies at the heart of this team.
Main Responsibilities
• Design, implement, and maintain ETL/ELT data pipelines (batch and near real-time) using Qlik Talend and associated integration components.
• Develop and operate ESB-type integrations between central banking systems, data platforms, and downstream applications, ensuring robustness, scalability, and reusability.
• Assume operational responsibility for Talend (change management, data quality management, SLA monitoring, standard operating procedures, and runbooks).
• Monitor and ensure the proper functioning of critical data pipelines, including incident analysis, root cause identification, and implementation of preventive measures.
• Apply CI/CD practices using the existing framework to automate and streamline deployments and configuration changes.
• Implement controls using the observability framework, ensuring service continuity and accuracy.
• Create, maintain, and improve documentation and operating procedures for data integrations under your responsibility.
• Collaborate with cross-functional teams (application owners, architects, business analysts, data consumers) to design integration models and improve governance around data flows.
• Contribute to the standardization and industrialization of integration models, promoting convergence, normalization, and reusability across projects.
• Stay informed about advances in data engineering, ETL/ESB technologies, and cloud-based integration platforms to support the continuous improvement of our DataOps capabilities.
Skills and Experience
• At least 5 years of proven practical experience in data engineering and data integration, with a strong focus on ETL/ELT pipelines and ESB-type integrations.
• Solid experience with Qlik Talend ETL and ESB on-premise, including task design, orchestration, error handling, and performance optimization.
• Strong skills in ETL/data modeling, including handling large datasets, complex transformations, and integrating heterogeneous data sources.
• Good knowledge of SQL and experience working with relational databases and/or cloud data platforms.
• Experience with CI/CD practices and tools in a hybrid environment (e.g., Azure DevOps, GitHub Actions) applied to data integration components.
• Familiarity with ESB concepts, API-based integrations, messaging, and event-driven models is a significant asset.
• Experience with data quality, metadata, and data traceability tools or frameworks is a plus.
• Appreciate providing operational support on Talend tasks and data integration workflows (incident analysis, troubleshooting).
• Good communication and collaboration skills, able to work closely with technical and business stakeholders.
• Rigorous and methodical in documentation, process creation, and change management.
• Strong interest in standardization, convergence, and reusability of integration components.
• Curious, enthusiastic, and proactive, with a practical mind and a strong desire to learn and progress in a demanding environment.
• Passionate about data processing and integration technologies.
• Fluency in spoken and written English; French is an asset.
Our Values
• Responsibility: Take
Automatically translated from the original.
Posted 6 weeks ago