Join forces with Appnovation to deliver high-impact results for a global leader in their field. As a Senior Data Engineer, you will manage the discovery-to-scale pipeline, identifying recurring patterns in the field and handing off validated solutions to Platform Engineers for enterprise generalization.
Requirements
- Bachelor's degree in Computer Science or Engineering
- 8–12 years of relevant experience leading and delivering complex data engineering projects
- Proven expertise in designing, building, and maintaining robust, scalable data pipelines
- Deep expertise in deploying and managing data infrastructure on cloud platforms (AWS, Azure, or GCP)
- Mastery of incorporating AI tools to optimize data engineering workflows
- Capability to rapidly prototype and build complete, end-to-end data applications
- Direct experience defining and monitoring service level objectives (SLOs/SLIs)
- Ability to make sound architectural trade-offs and design scalable system components
Benefits
- Challenging and rewarding work with real impact
- Direct Access to Cutting-Edge AI Platforms
- Diverse and Inclusive Culture
- Growth opportunities for personal and professional development
- A collaborative and innovative work environment
- Exposure to exciting projects and high-profile clients
- Supportive work environment with access to company leaders
- Hybrid working model