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