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Azure Data EngineerRecannLondon, England, United Kingdom
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Azure Data Engineer

Recann
  • +2
  • +5
  • GB
    London, England, United Kingdom
  • +2
  • +5
  • GB
    London, England, United Kingdom
Postuler Maintenant

À propos

Overview
Azure Data Engineer – Hybrid / London – Up to £70k + Benefits Recann is recruiting on behalf of a leading international professional services firm seeking a skilled and proactive Azure Data Engineer to join its collaborative Data team. This role will be at the forefront of optimising the organisation’s data infrastructure on Microsoft Azure, enabling data-driven decision-making and supporting critical business functions. What you’ll be doing
Building and maintaining scalable data pipelines using Azure Data Factory, Azure Data Fabric, and Azure Synapse Analytics. Developing robust ELT/ETL processes to integrate data from multiple business systems. Ensuring data consistency, security, and compliance (including GDPR). Supporting analytics/reporting teams with clean, structured datasets. Collaborating with IT, Finance Systems, Marketing, and other business areas to deliver solutions. What we’re looking for
4+ years’ experience in Azure data engineering. Strong skills with Azure Data Factory, Azure Data Fabric, Azure Synapse Analytics, Azure SQL Database. Proficiency in Python, PySpark, SQL, or Scala. Data modelling and relational database expertise. Azure certifications highly desirable. Power BI experience a bonus (but not essential). Hybrid working model (60% office / 40% remote). Salary up to £70k plus benefits. Inclusive culture with a genuine focus on people and responsible business practices. About the employer and inclusivity
Recann is committed to fostering a diverse and inclusive environment. We welcome applications from all qualified individuals, regardless of background, identity, or circumstance. If you require any adjustments to the recruitment process, please let us know.
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Compétences idéales

  • Azure Data Factory
  • PySpark
  • Python
  • SQL
  • Scala
  • London, England, United Kingdom

Expérience professionnelle

  • Data Engineer
  • Data Infrastructure

Compétences linguistiques

  • English
Avis aux utilisateurs

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