Job offer

Data Operations Engineer

The job posting is seeking a Data Ops Engineer who specializes in the development and operation of data pipelines and has experience with tools such as Databricks, Spark, and Python. The successful candidate will join a team responsible for delivering a reliable service on the EFG data platform.

Job Description

The DataOps Platform Team’s mission is to ensure a reliable service level across all technological components of the EFG data platform (Databricks, Kafka, Spark, Elasticsearch, Apache MQ, Sidences Stack). We build and develop the CI/CD platform that supports data pipeline deployments and work closely with project teams to deliver results.

Main tasks

As a Data Ops Engineer, your responsibilities will include:
  • Take over operational responsibility for specific data services (change management, quality management, SLA, SOP)
  • Monitor the smooth operation of critical data pipelines during Asian business hours and serve as the primary point of contact for critical issues in a follow-the-sun support model
  • Design, implement, and optimize data pipelines in batch and streaming modes
  • Use CI/CD practices to automate and streamline deployments and integrations
  • Create, maintain, and improve documentation and operating procedures for the services provided
  • Work with cross-functional teams to improve and refine governance around integrations
  • Maintain high standards of data quality, reliability, and performance
  • Stay up to date on advancements in the data engineering and DataOps technology stack to support continuous improvement

Requirements and qualifications

We are looking for a candidate with:
  • At least 5 years of experience in data engineering and data pipeline implementation using DevOps practices
  • Proficiency in Python, SQL, PySpark, and Databricks
  • Extensive experience with leading CI/CD platforms and processes in hybrid environments (e.g., Azure DevOps, GitLab CI, GitHub Actions)
  • Familiarity with microservices architecture, API management, and observability is a plus
  • Experience with Azure Databricks
  • Strong communication and collaboration skills
  • Thorough and methodical in documentation and process development
  • Interest in convergence, normalization, and reusability
  • Curious, enthusiastic, and proactive
  • Passionate about data processing technologies, with a strong desire to learn and grow in a challenging environment
  • Fluency in spoken and written English; French is a plus

Our values

We value:
  • Responsibility: Taking ownership of tasks and challenges and striving for continuous improvement
  • Practical: Be proactive to deliver high-quality results quickly
  • Passionate: Be committed and excellent
  • Solution-oriented: Focusing on client results and treating clients fairly and with an awareness of risks
  • Partnership-oriented: Fostering collaboration and teamwork and working with an entrepreneurial spirit

Job details

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