Data Engineer at EFG CAPITAL INTERNATIONAL CORP

Geneva, Geneva, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

0.0

Posted On

24 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Qlik Talend, ETL/ELT, ESB, SQL, CI/CD, Azure DevOps, GitHub Actions, Data Modelling, API Gateway Management, Kafka, Microservices, Data Quality Management, Incident Analysis, Observability Framework, Data Lineage, English Fluency

Industry

Banking

Description

General Info Department: IT Data Department Work time 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 worldwide. EFG International offers a stimulating and dynamic work environment and strives to be an employer of choice. EFG is committed to providing an equitable and inclusive working environment that is founded on the principle of mutual respect. Joining our team means experiencing a supportive environment, where your contributions are valued and recognised. We strongly believe that the diversity of our teams gives us a competitive advantage by fostering 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 personalised solutions on a global scale to private and institutional clients. Our sustainable success is based on our talents and on how we partner with our clients and communities to create lasting value. Introduction to the Team * Data Ops Services’ mission is to ensure adequate servicing of all data interfaces supported by our data platform. It covers a large spectrum of interfaces, from very critical order processing to more regular analytical systems. * The Data Ops team is supporting global systems serving the entire group worldwide. * As our platform and data landscape evolve, we would like to strengthen our team with a skilled Data Engineer specialised in Talend and enterprise‑grade ETL / ESB integrations. * As the technological landscape continues to evolve, our integration framework is modernising likewise. Microservices, API gateway management and Kafka are all technologies at the centre of this team. Main Responsibilities * 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, ensuring robustness, scalability and reusability. * Take operational ownership of 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 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 operational procedures for the data integrations under your ownership. * Collaborate with cross‑functional teams (application owners, architects, business analysts, data consumers) to design integration patterns and improve governance around data flows. * Contribute to the standardisation and industrialisation of integration patterns, promoting convergence, normalisation and reusability across projects. * Stay current with advancements in data engineering, ETL/ESB technologies and cloud‑based integration platforms to support continuous improvement of our DataOps capabilities. Skills and Experience * At least 5 years of proven hands‑on 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‑premise, including job design, orchestration, error handling and performance optimisation. * Strong ETL / data modelling skills, including handling of large datasets, complex transformations and integration of 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 patterns is a strong plus. * Experience with data quality, metadata management and data lineage tools or frameworks is an asset. * Enjoy providing operational support on Talend jobs and data integration workflows (incident analysis, troubleshooting). * Good communication and collaboration skills, able to work closely with both technical and business stakeholders. * Rigorous and methodical in documentation, process creation and change management. * High interest in standardisation, convergence and reusability of integration components. * Curious, enthusiastic and proactive, with a hands‑on mindset and a strong desire to learn and grow in a demanding environment. * Passionate about data processing and integration technologies. * Fluent in spoken and written English; French is an asset. Our Values * Accountability: Taking ownership for tasks and challenges, as well as seeking continuous improvement. * Hands-on: Being proactive to rapidly deliver high-quality results. * Passionate: Being committed and striving for excellence. * Solution-driven: Focusing on client outcomes and treating clients fairly with a risk-aware mindset. * Partnership-oriented: Promoting collaboration and teamwork. Working together with an entrepreneurial spirit.

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Responsibilities

Design, implement, and maintain ETL/ELT data pipelines and ESB-style integrations using Qlik Talend. Take operational ownership of the Talend platform, ensuring service continuity through monitoring, CI/CD practices, and documentation.