Design data architectures for TROCCO and COMETA, translating customer needs into technical solutions. Lead discovery, PoC validation, troubleshooting, and DWH/BI recommendations.
About this role
PrimeNumber, whose in-house products TROCCO and COMETA support more than 2,500 companies, is hiring a Data Engineer to design and build customer data foundations that hold up under AI use, moving AI from experiment to business. The engineer works with senior data engineers, consultants and project managers from architecture design through implementation and operational settlement.
Duties include taking part in drawing up data platform architecture for AI use, designing and building the foundations that support it (data warehouse, ELT, data modeling and quality management), and supporting issue organization and proposals with project managers and senior engineers. Because the in-house products handle routine data preparation, the engineer can focus on architecture and value creation, and feeds project lessons back into the products. Technologies include BigQuery, Snowflake, Databricks and Redshift, TROCCO and dbt, BI tools such as Tableau, Looker Studio, Power BI and QuickSight, and AI services such as OpenAI, Vertex AI and Bedrock depending on the project.
No formal qualification list is given. The role calls for the ability to design architecture backward from how data should be used and to work as a bridge between consultants, engineers and product managers.
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