From Q-Tech, we are looking for a Staff Data Reliability Engineer to join a leading European company in the e-commerce and home improvement sector. This company is investing in building a robust and scalable data infrastructure to support its growing operations across multiple markets
About the Role:
As a Staff Data Reliability Engineer, you will play a key role in designing, building, and maintaining high-performance data systems. Your expertise will help ensure reliability, scalability, and optimal performance of the data infrastructure while driving continuous improvements in automation and observability
Key Responsibilities:
- Design, build, and maintain large-scale, resilient data infrastructure
- Monitor and troubleshoot data systems, proactively implementing solutions to prevent future issues
- Develop and maintain documentation for data systems and processes
- Lead and organize projects in collaboration with the Platform Manager:
- Define targets and roadmaps with architects and key engineers
- Make architecture decisions and prioritize technical tasks
- Support teams in achieving objectives
- Evangelize best practices and contribute to building a strong technical community
- Drive organizational improvements by identifying and implementing innovative solutions
Required Skills & Experience:
Soft Skills:
- Proactive, bold, and analytical mindset with the ability to identify and address challenges
- Curious and solution-oriented approach to problem-solving
- Strong communication skills with the ability to mentor and train others in data and platform best practices
Hard Skills:
- Deep expertise in large-scale data infrastructure, databases, and DevOps automation
- Strong SQL skills for querying, managing, and optimizing database performance
- Experience with database management systems such as PostgreSQL and MySQL; NoSQL is a plus
- Knowledge of event-driven systems like Kafka; RabbitMQ is a plus
- Understanding of backup and recovery strategies to ensure data integrity
- Knowledge of database security best practices, including user access controls and encryption
- Experience in monitoring management, defining SLOs/SLAs, and measuring feature impact
- Proficiency in scripting (Python, Bash) and infrastructure as code tools (Terraform)
- Strong understanding of cloud-based database solutions (AWS RDS, Google Cloud SQL, etc.)
- Knowledge of Kubernetes is a plus
Other Requirements:
- Degree in engineering or equivalent experience
- 5+ years of experience in web technologies and data infrastructure
- Fluent in English (verbal and written); Spanish or French is a plus
- Solid understanding of operations and reliability engineering principles
Why Join?
This is an excellent opportunity for engineers who want to work on a high-impact, data-driven project within a rapidly growing company. You will have the chance to contribute to the evolution of a cutting-edge data platform, collaborate with top engineers, and make a real difference in the organization’s technological future
If you are passionate about data reliability and large-scale infrastructure, we would love to hear from you!