9 часов назад
Senior Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI): Building and operating data warehouses, pipelines, analytical surfaces, and AI-ready data structures for business systems with an accent on scalable architecture, cost optimization, and trusted data products. Focus on designing RAG-friendly schemas, integrating SaaS and cloud data sources, and ensuring reliability across cross-functional analytics workflows.
Location: Cork, Ireland (hybrid); 3 days onsite and 2 days remote.
Company
provides a cloud data platform that unifies file and object storage across data centers, edge environments, and public clouds for demanding enterprise workloads.
What you will do
- Design, build, and operate data architecture integrating Salesforce, NetSuite, M3ter, cloud hyperscalers, and internal customer monitoring systems.
- Build data warehouse foundations with DBT, Redshift, Snowflake, or equivalent technologies.
- Engineer data pipelines, optimize storage and compute costs, and manage data lifecycle strategies.
- Design schemas supporting RAG architectures, predictive modeling, and future AI-native operations.
- Build Tableau or equivalent dashboards for Sales, Customer Success, Finance, and executive stakeholders.
- Direct UI and dashboard contractors while partnering with Business Systems, Sales Operations, Finance, Customer Success, and Engineering.
Requirements
- 4+ years of data engineering or analytics engineering experience.
- Advanced SQL, ETL, DBT, data architecture, workflow management, and Python skills.
- Experience modeling SaaS business data and working with API-based ingestion.
- Strong background in cloud data warehouses, object storage, serverless compute, and modern BI platforms.
- Experience designing AI/ML data structures, including RAG-friendly schemas and predictive modeling support.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field; cloud certifications or equivalent experience are preferred.
Culture & Benefits
- Open, inclusive, collaborative culture focused on ownership, experimentation, data-driven decisions, and sharing by default.
- Competitive salary and benefits package including equity, pension, and healthcare.
- Flexible hybrid working arrangement with 3 onsite days and 2 remote days.
- Reimbursement for home phone and internet.
- Opportunities for continuous learning and professional development.
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