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9 часов назад

Senior Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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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