SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. The company's core technology is the Market Model—a proprietary AI-powered system delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence. Built on a glass-box architecture using market data with full transparency, it has been deployed in global aviation with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul, delivering an average profit uplift of 7%. The company is now expanding into travel, mobility, retail, e-commerce, and beyond.
In this role, you will design and maintain the data infrastructure powering Fetcherr's proprietary Large Market Model. You'll work at the intersection of data engineering and applied AI, collaborating directly with data scientists, ML engineers, and product teams.
Key responsibilities:
- Design, build, and maintain scalable, low-latency data pipelines that ingest live market information from diverse internal and external sources
- Develop robust ETL/ELT processes to clean, transform, and validate large-scale, high-velocity datasets feeding the Large Market Model
- Architect and optimize data storage solutions (data lakes, warehouses, streaming systems) for both real-time and batch workloads
- Partner with data scientists and ML engineers to productionize models and ensure data is delivered at the right shape, time, and scale
- Monitor, troubleshoot, and continuously improve performance, reliability, and cost-efficiency of production data systems
- Implement data quality, observability, and governance practices across the pipeline lifecycle
- Contribute to the evolution of the data platform architecture as Fetcherr scales across new customers and product lines
Requirements: Not specified in posting.
