Data Platform Lead

Offre fantôme probable

🕒 il y a 2 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

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👻 Score fantôme 64%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

Azure

BigQuery

Cloud

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Logo of Newsquest Media Group

Newsquest Media Group

1001 - 5000 employés

📣 Marketing

📱 Médias

Marketing • Media • Advertising

Newsquest Media Group est une entreprise de médias engagée à fournir des actualités autoritaires et des solutions de marketing digital adaptées aux communautés locales. Avec un portefeuille diversifié de plus de 250 marques de presse locale et de magazines, ils touchent 41 millions d'utilisateurs numériques par mois et 7 millions de lecteurs imprimés par semaine. Leur équipe dévouée de journalistes et de professionnels des ventes se concentre sur la promotion de l'engagement communautaire à travers un journalisme fiable et des stratégies publicitaires efficaces, garantissant que les entreprises locales peuvent prospérer grâce à des décisions basées sur les données.

Description

• Lead the modernisation and transformation of Newsquest's data platform and supporting architecture • Define and deliver a roadmap for data migration, integration, governance, reporting and analytics capabilities • Lead implementation of a modern data platform, including a data warehouse, data lake, lakehouse or equivalent cloud-based solution • Work with business stakeholders to understand requirements and translate them into practical data solutions • Collaborate with IT teams, data engineers, system owners and third-party suppliers • Manage programme plans, budgets, risks, dependencies and resources across multiple workstreams • Establish and embed data governance, ownership and quality standards • Lead and support internal data engineering resources • Drive platform adoption and improve accessibility to trusted data • Oversee post-implementation stabilisation, optimisation and continuous improvement • Identify opportunities to enhance reporting, analytics, automation and data-driven decision-making

🎯 Exigences

• Proven experience leading the implementation, migration or modernisation of an enterprise-scale data platform • Demonstrable experience delivering a data warehouse, data lake, lakehouse or modern cloud-based data platform within a medium or large organisation • Strong understanding of data architecture, data integration, governance, security and data management best practices • Experience successfully delivering complex data transformation programmes from discovery and design through to implementation, stabilisation and optimisation • Strong programme and project management skills, including planning, stakeholder management, risk management and resource coordination • Experience working within multi-site organisations with diverse stakeholders, systems and data requirements • Ability to build strong relationships with senior stakeholders and translate business requirements into effective technical solutions • Experience collaborating with IT teams, engineers, suppliers and business leaders to deliver business-critical change • Knowledge of modern data platforms and technologies such as Microsoft Fabric, Azure Data Platform, Snowflake, BigQuery or similar • Excellent communication skills, with the ability to influence and engage both technical and non-technical audiences • A pragmatic, delivery-focused approach with the ability to balance strategic thinking with hands-on programme leadership • Desirable: Experience within publishing, media, digital, subscription or customer-focused organisations • Desirable: Experience developing and implementing data governance frameworks and operating models • Desirable: Knowledge of Power BI or other modern business intelligence platforms • Desirable: Understanding of AI, machine learning and advanced analytics capabilities • Desirable: Experience leading teams within data engineering, analytics or platform functions

🏖️ Avantages

• Competitive salary • 25 days holiday + bank holidays + your birthday off • Holiday buy scheme for extra flexibility • Structured career progression & ongoing training • Pension plan • Employee Helpline counselling and advice • Gym membership • Cycle to Work scheme • Eye care • Retail discounts • Team building days • Annual volunteer charity day

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