Data Ops Engineer

As our platform and data landscape evolve, we would like to strengthen our team with a skilled CI/CD engineer specialised in data pipeline implementations. Expectations on data quality are constantly increasing with the need for a extremely stable service delivery. We must ensure that our delivery processes are controlled and visible to our stakeholders. We are particularly interested in someone comfortable driving Kafka, Spark and Databricks operations with Python. By reinforcing our team, you will greatly contribute to the continuity and quality of our operations. Take operational ownership of specific data services (change management, quality insurance management, SLA, SOP) track and ensure the smooth operation of critical data pipelines during Asian hours, acting as the primary point of contact for critical issues in a follow-the sun support model. Design, implement, and optimize data pipeline in batch and streaming mode. Follow and apply CI/CD practice to automate and streamline deployments and integrations. Create, maintain, and improve documentation and operational procedures for which operational ownership is ensured. Collaborate with cross-functional teams to improve and review governance around integration operations. Maintain high standards of data quality, reliability, and performance. Stay current with advancements in data engineering, of dataops tech stack, to support continuous improvement.

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.

• At least 5 Years of proven hands-on experience in data engineering and data pipeline deployment rooted in devops practice.

• Comfortable working with Python, SQL, PySpark and Databricks

• Robust experience of any leading CI/CD platforms and processes in hybrid environment (e.g., Azure DevOps, GitLab CI, GitHub Actions ).

• Familiarity with microservices architecture, API management and observability is a real plus

• Experienced with Azure databricks.

• Good communication and collaboration skills.

• Rigorous and methodical in documentation and process creation

• High interest for convergence, normalization and reusability.

• Curious, enthusiastic and proactive

• Passionate about data processing technologies, with a strong desire to learn and grow in a demanding environment

• Fluent in spoken and written English, French is an asset.