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)