DataOps Engineer — EFG International AG

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General Info

• Department: Data Ops Engineer

• Work time Percentage: 100%

• Location: Singapore

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.

Our Purpose and Mission

Empowering entrepreneurial minds to create value – today and for the future.

Job Description

Introduction to the Team

• DataOps Team is responsible for seemless integration, release and monitoring of mission critical data pipelines and workflows

• Currently based in Geneva, we are expanding our global footprint by establishing a virtual team presence in Singapore.

• Reporting to the local IT Head of Applications, the role will be a key pillar in our follow-the-sun support model, ensuring continuous operational excellence across Asia and Europe timezone.

• Our data platform is evolving into a more converged stack, unifying data streams and batches. We are expanding into a cloud based lakehouse and a microservice based data streaming integration model supporting business critical integrations

• To support team activity Python, SQL and CI/CD are essentialskills. This role requires a rigorous approach to documentation and procedure development.

• The team is responsible for building, testing, deploying and monitor the operating part of the platform.

Tasks and Responsibilities

• Take operational ownership of specific data services (change management, quality assurance, SLA, SOP)

• Track and ensure operations continuity of critical data pipelines across the group during Asian hours, adopting 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, improve documentation and operational procedures as part of operational ownership

• Collaborate with cross-functional teams to review governance and improve 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.

Requirements and Qualifications

• Experience in data engineering and data operations roles.

• Proven hands-on experience with SQL, Python, PySpark and Databricks

• Knowledge of micro-services architecture, API management and observability is highly desirable.

• Solid understanding of CI/CD platforms and processes (e.g., Azure DevOps, GitLabCI, GitHub Actions).

• Experience with cloud data platforms (Azure preferred).

• Demonstrated ability to produce rigorous, clear, and comprehensive documentation and procedures.

• Familiarity with database design.

• Excellent problem-solving skills and attention to detail.

• Effective communication and collaboration skills.

Personal Attributes

• Responsible and reliable, especially during critical operational periods

• Rigorous and methodical in documentation and process creation

• Motivated and goal-oriented

• Curious, enthusiastic, creative, and proactive

• Passionate about analytics and technology, with a strong desire to learn and grow

• Fluent in spoken and written English

Our Values

Please ensure to attach a cover letter to your CV when filling the application.

Application

Should you wish to apply for this position use this link to apply.