6 дней назад
Data Warehouse Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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