DataOps Engineer
DataOps Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Were looking for a DataOps Engineer to ensure the reliability efficiency and security of our data platform. Youll work at the intersection of DevOps and Data Engineering automating processes and maintaining the infrastructure that supports our ML applications.
Tasks
- Design and implement automated data infrastructure using IaC
- Set up and maintain monitoring alerting and observability systems
- Optimize platform costs and resource utilization
- Implement and maintain CI/CD pipelines for data workflows
- Enforce security best practices and compliance requirements
- Troubleshoot platform issues and implement preventive measures
- Manage pre/post processing workflows around ML models
Requirements
Required Qualifications:
- Bachelors or Masters in Computer Science Engineering or related field
- 3 years experience in DevOps Data Engineering or similar role
- Advanced Python/SQL programming skills
- Proficiency with infrastructureascode (Terraform CloudFormation)
- Strong experience with containerization and orchestration (Docker Kubernetes)
- Knowledge of monitoring tools (Prometheus) and practices
- Experience with Postgres Operator
- Experience with Argon/Flux workflow engines
- Understanding of security best practices and IAM
- Strong experience with cloud platforms (AWS/GCP/Azure)
- Experience with MLOps pipelines
Nice to Have:
- Experience with data warehouses (Snowflake BigQuery)
- Experience with cost optimization
- Experience in a startuplike environment
- Proficiency in German is a plus
Benefits
- Attractive compensation aligned with your skills
- Dynamic workspace in the heart of Luxembourg
- Flexible work arrangements
- Professional development allowance
Employment Type
Full Time
