Quicklizard is a dynamic pricing platform used by leading retailers, marketplaces, and e-commerce brands worldwide. Our engine ingests sales, competitor, inventory, and cost data and turns it into real-time pricing recommendations - processing billions of records a day across multi-region pipelines that never stop running.
We're looking for a Data Engineering Tech Lead to own our data architecture end to end. You'll design, build, and scale the pipelines that power every pricing decision we make - from raw ingestion through our data lake to the analytics and BI layers our customers rely on. This is a hands-on leadership role: you'll set technical direction, drive architectural decisions, and mentor a team of data engineers, while still writing code and owning delivery.
Spark / EMR · Airflow · BigQuery · PostgreSQL & Aurora · Kafka · RabbitMQ · Elasticsearch · Go · Python · AWS · GCP · Kubernetes · Terraform
Nice to have: streaming architectures, cost/FinOps ownership, multi-region or multi-cloud systems, e-commerce or pricing domain experience, MCP servers or agentic tooling.
Quicklizard’s mission is to empower retailers and brands with AI-driven dynamic pricing technology that enables smarter decision-making, sustainable growth, and increased profitability. As a glass-box solution, we provide full transparency and control over pricing logic, ensuring complete visibility into every recommendation.
Through a flexible, open, and omnichannel platform, we help businesses tailor and execute pricing strategies that stay ahead of the market. With our One Platform approach, retailers can manage all product categories across all channels, supported by fully automated workflows designed to align with their unique pricing strategies.
Our vision is to become the global standard for intelligent and ethical pricing, transforming how businesses optimize pricing at scale, with a focus on clarity, speed, and omnichannel precision, to lead in a data-driven, competitive retail world.
