Principal Data Solutions Architect

🕒 il y a 9 jours

🇬🇧 Royaume-Uni – Télétravail

💵 £80 000 / an

⏰ Temps Plein

🔴 Expert

💻 Ingénieur Solutions

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Seriös Group

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2020

💼 Conseil

📦 Logistique

🏥 Santé

Consulting • Logistics • Healthcare

Seriös Group est un cabinet de conseil spécialisé dans la data et l’analytics, qui aide les organisations à unifier, gouverner et valoriser rapidement leurs données. L’entreprise propose des services de data engineering, de stratégie data et d’architecture data, ainsi qu’une plateforme fondée sur l’IA (Seriös ONE et Launchpad), complétés par des modèles de prestation sur mesure et en partenariat. Agnostique sur le plan technologique et orienté grands comptes, Seriös Group intervient dans des secteurs tels que les services financiers, le gaming, l’environnement bâti, le retail et l’hospitality afin de transformer les données en insights exploitables et d’accélérer la prise de décision.

Description

• Deliver strategic and technical data consultancy across the full data lifecycle • Shape and assure solutions spanning data strategy, governance, operating models, cloud platforms, integration, migration, analytics and AI • Collaborate with stakeholders to understand challenges, identify opportunities and present tailored data solutions • Design and oversee technical architectures aligned with client objectives, industry standards and best practice • Define and uphold principles, frameworks and standards for secure, scalable, resilient and cost-effective solutions • Translate client requirements into target architectures, actionable roadmaps and assured solution designs • Lead delivery from discovery through production by organising project teams, allocating resources and managing progress • Coach, mentor and develop project teams and organisational capability • Support pre-sales through scoping, estimation, proposals and presentations • Identify opportunities to extend client engagements • Apply relevant emerging technologies and methodologies to client solutions • Ensure delivery excellence, quality standards, governance requirements and measurable business outcomes

🎯 Exigences

• Proven ability to analyse complex business challenges and design effective, innovative data architectures and solutions • Strong leadership skills with experience guiding project teams, mentoring colleagues and developing capability • Excellent communication skills for technical and non-technical audiences • Self-motivated, proactive and able to work independently and as part of a team • Highly developed interpersonal skills and ability to build trusted client relationships • Commercial awareness across multiple clients and sectors • Strong organisational skills and ability to manage workload, allocate resources and meet deadlines • Experience designing cloud data platforms in Azure or AWS, or significant on-premise design experience • 5+ years’ experience in data engineering, business intelligence or related roles • Extensive ETL and data pipeline design experience • Experience with cloud and data technologies including Fabric, Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google BigQuery, Alteryx, SSIS or Informatica • Strong understanding of data warehouse and data lake principles • Data modelling using Kimball, Inmon or Data Vault methodologies • Experience with relational database platforms • Advanced SQL skills • Exposure to Python, R or Spark • Awareness of AI and ML methodologies and their application in data solutions • Experience with Power BI or Tableau • Experience leading or mentoring junior data engineers, BI developers or consultants • Experience as a technical lead using Agile or DevOps methodologies, including peer reviews and continuous improvement • Experience using Jira or Azure DevOps • Passion for technology and commitment to staying current with emerging tools, platforms and best practices in data and cloud

🏖️ Avantages

• Unlimited holidays • Private healthcare • Employee Assistance Programme (EAP) • Salary sacrifice pension • Flexible working with adaptable hours and hybrid working • Enhanced family policies • Company sick pay