Expire in: a month
Senior Data Engineer
Location: London, UK (3 days in the office)
SC Cleared: Required
Essential Skills & Experience:
* 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks.
* Strong proficiency in Python and Spark (PySpark) or Scala.
* Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns.
* Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database.
* Experience working with large datasets and complex data pipelines.
* Experience with data architecture design and data pipeline optimization.
* Proven expertise with Databricks, including hands-on implementation experience and certifications.
* Experience with SQL and NoSQL databases.
* Experience with data quality and data governance processes.
* Experience with version control systems (e.g., Git).
* Experience with Agile development methodologies.
* Excellent communication, interpersonal, and problem-solving skills.
* Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs).
* Experience with data visualisation tools (e.g., Tableau, Power BI).
* Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes).
* Experience working in a financial services or economic data environment.
* Azure certifications related to data engineering (e.g., Azure Data Engineer Associate)
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