Azure Data Engineer

4 weeks ago

London, Greater London, United Kingdom 83zero Full time
Job Opportunity

83zero is seeking a skilled Azure Data Engineer

Salary: £85,000 - £95,000 – Bonus + Pension + Private Healthcare

Location: London / UK Wide Location – Hybrid working

  • To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.
  • Unfortunately, our client is unable to progress applicants on a VISA

The Role:

As a key member of our team, you will be responsible for designing, developing, and implementing scalable and secure data platforms using Databricks, Apache Spark, and Azure. You will work closely with our data-driven operations team to build high-performance data pipelines, develop and maintain secure data warehouses and data lakehouses, and build and deploy AI/ML models.

Your Key Responsibilities

  • Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
  • Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
  • Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
  • Monitor and optimize data pipelines and infrastructure: Analyse performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.

Requirements

  • Minimum 3+ years of experience as a Data Engineer or similar role.
  • Proven expertise in Databricks, Apache Spark, and data pipeline development.
  • Strong understanding of data warehousing concepts and practices.
  • Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
  • Knowledge of SQL and scripting languages like Python or Scala.
  • Hands-on experience with AI/ML concepts and tools.

Desirable Skills

  • Experience with cloud data warehousing solutions like Azure Synapse Analytics.
  • Expertise in specific data visualization tools.
  • Proven ability to build and deploy production-ready AI/ML models.

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