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6 дней назад

Data Warehouse Manager (AI)

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

Текст:
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TL;DR
Data Warehouse Manager (AI): Leading Vodafone Ireland’s enterprise data warehouse capability across Teradata and GCP BigQuery with an accent on platform modernisation, governance, reliability and AI-ready datasets. Focus on migrating legacy warehouse models to cloud platforms, optimising FinOps and operational performance, and leading DWH teams and senior stakeholders.

Location: Dublin 2, Ireland; hybrid working

Company

hirify.global is an international telecommunications company serving millions of customers through connectivity and technology services.

What you will do

  • Own the performance, availability, resilience, security and lifecycle management of the enterprise data warehouse estate, including Teradata and GCP BigQuery.
  • Lead the transition from legacy warehouse models to modern cloud data platforms while managing migration risk, service continuity, cost, catalogue, lineage and operational readiness.
  • Partner with Data Governance to establish ownership, definitions, controls, quality measures, metadata and lineage for critical data assets.
  • Drive operational excellence through incident management, access reviews, release planning, run-books, observability, service-risk management and continuous improvement.
  • Enable governed, accessible and AI-ready datasets, while automating reporting, reconciliation, quality monitoring and repeatable operational tasks.
  • Lead, coach and develop the DWH team, while managing cloud budgets, costs and optimisation through FinOps controls.

Requirements

  • Proven leadership experience in enterprise data warehouse operations, platform ownership or data engineering delivery in a business-critical environment.
  • Strong knowledge of enterprise DWH platforms, cloud data services, ETL/ELT pipelines, BI enablement, semantic layers and workload optimisation.
  • Experience with service reliability, incidents, releases, access controls, audit actions, operational KPIs and cloud FinOps.
  • Knowledge of data governance, data quality, catalogues, lineage, GDPR, cybersecurity, compliance and trusted AI and analytics datasets.
  • Strong leadership, coaching, prioritisation and problem-solving skills, including the ability to explain technical trade-offs and business value to senior stakeholders.
  • A bachelor’s degree in Computer Science, Engineering, Data, Technology or a related field, or equivalent professional experience.

Culture & Benefits

  • Hybrid ways of working with a focus on work-life balance.
  • Competitive salary, bonus, pension and flexible benefits allowance.
  • Comprehensive health and wellbeing support, including access to an on-site wellness centre and gym.
  • Free mobile plan, device offers and discounts for employees, family and friends.
  • Family-friendly policies and opportunities for learning, development and internal progression.
  • Inclusive and diverse workplace with support for candidates requiring adjustments during recruitment.

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