
1001 - 5000 employés
🏥 Santé
🛡️ Assurance
🏭 Fabrication
Healthcare • Insurance • Manufacturing
Telefónica Tech est une entreprise de premier plan offrant des solutions complètes de transformation numérique. Elle propose une gamme de services incluant Data & AI, Cybersécurité, Cloud, Applications d'entreprise et solutions pour les espaces de travail modernes. Telefónica Tech collabore avec des industries telles que le secteur public, la santé, les services financiers, l'assurance, la fabrication et le commerce de détail pour améliorer leurs capacités numériques et assurer des opérations efficaces, sécurisées et innovantes. L'entreprise est engagée dans la responsabilité sociale des entreprises et utilise des technologies avancées pour soutenir des solutions numériques résilientes, évolutives et sécurisées pour ses clients.
🕒 il y a 5 mois
🇬🇧 Royaume-Uni – Télétravail
⏰ Temps Plein
🟡 Intermédiaire
🟠 Senior
🔙 Ingénieur Back-end
👻 Score fantôme 25%
🗣️🇺🇸🇬🇧 Anglais requis
Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

1001 - 5000 employés
🏥 Santé
🛡️ Assurance
🏭 Fabrication
Healthcare • Insurance • Manufacturing
Telefónica Tech est une entreprise de premier plan offrant des solutions complètes de transformation numérique. Elle propose une gamme de services incluant Data & AI, Cybersécurité, Cloud, Applications d'entreprise et solutions pour les espaces de travail modernes. Telefónica Tech collabore avec des industries telles que le secteur public, la santé, les services financiers, l'assurance, la fabrication et le commerce de détail pour améliorer leurs capacités numériques et assurer des opérations efficaces, sécurisées et innovantes. L'entreprise est engagée dans la responsabilité sociale des entreprises et utilise des technologies avancées pour soutenir des solutions numériques résilientes, évolutives et sécurisées pour ses clients.
• Acting as a trusted advisor and thought leader for key, strategic customers • Acting as a technical authority within customers to advise them on complex technical issues • Triaging customer requirements/use cases and assembling the right team of experts to deliver • Engaging with senior customer stakeholders to steer their data platform strategy in alignment with business needs • Lead data delivery project work • Technical presales engagements • Document enterprise data architectural designs
• Experienced in the delivery of complex data & AI solutions • Strategic and operational decision-making skills • Ability to guide, direct or influence people • Ability to identify opportunities and issues • Willingness to learn based on feedback • Able to help others develop • Willingness to stay up to date with the latest trends, technologies and best practices • Experience working within agile, fast-moving environments • Understanding of data platform methodologies and architecture approaches (Kimball, Inmon, Data Vault, Data Mesh, Data Products, Lakehouse's, etc) • The ability to document architectural designs in the form of conceptual, logical and physical models • Ability to discuss enterprise data and the impact on a business including master data management, data quality, data literacy and initiatives such a single customer view • Ability to present technical solutions in a way that engages both technical and non-technical stakeholders • Deep technical experience (multiple, complex solutions delivered) in at least 1 of the following: Azure Databricks, Microsoft Fabric, Azure Synapse Analytics, Public Cloud • Subject matter expertise in at least 3 of the following areas: Data Engineering, Data Modelling, Data Strategy / Governance, Data Visualisation, Data Science / AI, DevOps / Cloud Infrastructure, Application Development • Experience of TOGAF, DAMA or a similar architectural framework (nice to have) • Experience of data management tools such as Purview, CluedIn, Collibra, Informatica or Profisee • Certifications (Nice to have): Databricks Certified Associate / Professional, Databricks Partner Solution Architect Champion, Microsoft Azure Certifications – Data Engineering, AI, Solution Architecture
• Inclusion and diversity initiatives • Employee resource groups promoting various backgrounds and identities • Flexible working arrangements • Professional development opportunities
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