Data Engineer

About Explorium

Explorium is a leading provider of B2B data foundations for AI agents. We offer go-to-market data and infrastructure designed to power context-aware AI products and strategies. Our platform harmonizes diverse data sources to deliver high-quality, structured, and trustworthy insights—empowering businesses to build intelligent systems that drive real growth.

About the Role

We are looking for a talented and motivated Data Engineer to join our growing Data Products team. You will design, implement, test, deploy, and maintain production-grade data products—mainly focused on data pipelines, transformation layers, and real-time data systems. You’ll work with modern tools such as DBT (on Spark) and Databricks, and leverage technologies like LLMs and GenAI to create scalable and innovative solutions that address real-world business problems.

This role is ideal for someone who combines strong engineering capabilities with a keen understanding of data-driven business use cases.

Key Responsibilities

• Own the full lifecycle of data product development—from concept and design to deployment and maintenance.
• Develop and maintain production ETL/ELT pipelines using DBT (on Spark) and orchestrated workflows in Databricks.
• Apply best practices in Python and SQL to create scalable, maintainable, and efficient data transformations.
• Build monitoring, alerting, and testing pipelines to ensure reliability and performance in production.
• Utilize LLMs and Generative AI technologies to enhance data workflows and feature engineering.
• Collaborated with leading industry data providers to assess and integrate third-party data assets, enhancing the quality and performance of Explorium’s data products.