Senior Data Engineer (Cork)
Core
Design, build, and operate the data architecture, warehouse, and pipelines that turn business data into trusted, AI-ready insight for Sales, Customer Success, Finance, and the executive team.
Role type
Senior Data Engineer (Analytics & Data Platform)
Builds
Data warehouse foundations, ETL pipelines, analytical dashboards, and data structures supporting RAG and predictive modeling.
Domain
Cloud data platforms, SaaS business data, AI/ML data infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, ETL, DBT, data architecture, Python, SaaS data modeling, cloud data warehouses, object storage, serverless compute, modern BI platforms
Preferred skills
Cloud certifications (AWS, Azure, GCP), experience with AI developer tools
Technologies
DBT, Redshift, Snowflake, Tableau, S3, Lambda, Azure Functions, Salesforce, NetSuite, M3ter
Responsibilities
Design and build data architecture capturing data from Salesforce, NetSuite, M3ter, and internal systems; Engineer pipelines with cost-optimization strategies; Design schemas for RAG and predictive modeling; Build executive dashboards; Direct UI and dashboard contractors; Partner with Sales, Finance, and Engineering to design data flows; Ensure reliability and accuracy of data products.
Seniority
Senior, hands-on IC