Senior Data Engineering Consultant

🕒 il y a 6 mois

🇬🇧 Royaume-Uni – Télétravail

💵 £70 000 - £90 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

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👻 Score fantôme 44%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Advancing Analytics

Advancing Analytics

51 - 200 employés

Fondée en 2018

💼 Conseil

📣 Marketing

🤖 Intelligence artificielle

Consulting • Marketing • Artificial Intelligence

Advancing Analytics est un cabinet de conseil en Big Data et IA qui aide les organisations à transformer les données en informations exploitables. L'entreprise se spécialise dans les technologies Microsoft Data & AI et Databricks, faisant progresser l'architecture Lakehouse et mêlant les analyses traditionnelles à l'apprentissage automatique et à l'IA. Ils fournissent des services dans les domaines de l'ingénierie des données, de l'analytique, de la stratégie et de la mise en œuvre des systèmes, opérant principalement en télétravail en tant que cabinet de conseil B2B composé d'experts certifiés.

Description

• Deliver bleeding-edge analytical solutions for customers worldwide • Build AI solutions on solid, reliable data platforms • Lead projects while seeing the end-to-end solution • Balance technical expertise with pragmatic project needs in an agile environment • Gather requirements and provide client consulting • Apply ETL approaches focused on data quality, resilience and observability • Collaborate within a small, inclusive and knowledge-sharing team • Share knowledge, skills and expertise internally and with the wider data community • Maintain and develop expertise across Microsoft, Databricks, AWS, Sigma, Tabular Editor and dbt Labs technologies • Participate in industry events and the wider data and AI community

🎯 Exigences

• Must be based within the UK • Good understanding of the core technology stack and ability to see the end-to-end solution whilst leading a project • Experience with Microsoft Azure and cloud computing concepts • Experience with Apache Spark, including Databricks, Microsoft Fabric or another Spark engine • Python proficiency • SQL proficiency, including writing complex high-performance queries and understanding query execution on different compute technologies • Experience with Azure Data Factory or other cloud orchestration tools • Experience with Azure Data Lake Storage and Delta Lake • Experience with Unity Catalog, Purview or other data governance tools • Experience with an IaC tool such as Terraform or Azure DevOps • Requirements gathering and client consulting • Agile project management • Understanding of object-oriented development practices • ETL approaches, including data quality, resilience and observability • Understanding of CI/CD methodologies and SDLC • Experience with Microsoft Power BI, Tableau, Azure Stream Analytics, Event Hubs, IoT Hubs, distributed compute engines, or Azure Functions is beneficial but not essential

🏖️ Avantages

• Industry matching • Maternity & Paternity policy • Private Medical & Dental Care plus Eye care scheme • Health & Well-being supplement • 25 Days Annual Leave, Birthday Leave & Charity Leave • Away days with the team • Discretionary Annual Bonus Scheme • Flexible Working Hours • Electric Car Scheme • Hands-on access to exciting technology and learning opportunities • Long-term investment in employee development • Opportunities to speak at events and participate in the wider data and AI community

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