We are looking for a highly skilled Senior Consultant Data Engineer to join our engineering team and work on building large-scale, real-time data systems.
This role is ideal for engineers who enjoy solving complex distributed systems challenges, building scalable platforms, and operating in fast-paced product environments. The ideal candidate should be deeply hands-on, capable of driving technical decisions independently, and comfortable working across data, backend, and infrastructure layers.
This is not a traditional ETL or reporting-focused role. We are looking for strong engineering talent with deep ownership, debugging capabilities, and systems-level thinking.
What You’ll Do
• Design and build scalable, high-performance data platforms and pipelines
• Work on distributed data systems across both batch and real-time processing
• Take end-to-end ownership — from architecture and development to deployment and optimization
• Debug, optimize, and extend open-source data systems
• Solve infrastructure and systems-level problems, beyond just tool usage
• Collaborate across teams and drive data engineering best practices
What We’re Looking For
• 7+ years of experience in Data Engineering or Data Platform roles
• Robust understanding of distributed systems, data storage, and compute layers
• Ability to design systems from first principles, not just work with existing tools
• Hands-on experience with open-source or self-managed architectures
• Strong programming skills in Python or Go (Golang)
• Experience with system design, performance tuning, and debugging at scale
Nice to Have
• Backend engineering experience (APIs, services, and system design)
• Experience with infrastructure management and deployments
• Exposure to high-scale or real-time systems