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Mid competition: strong brand and metro location balanced by seniority and specialized Azure Databricks skills.
Medium because core data engineering skills transfer, but financial domain and Azure specifics limit portability.
Medium due to mandatory Azure/Databricks expertise and leadership expectations without explicit years requirement.
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Lead and provide technical guidance to a team of data engineers ensuring adherence to architectural principles.
Design, implement, and optimize data engineering, ingestion, and transformation pipelines using Azure Data Factory (ADF) and Databricks.
Plan capacity and perform performance tuning on ADF and Databricks pipelines while supporting project lifecycle activities including requirement analysis, testing, and release.
Experience with Azure Data Factory (ADF) and Databricks for data engineering and pipeline development.
Proven experience leading or managing a team of data engineers or related roles.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to collaborate with offshore development teams and adhere to organisational Risk & Controls requirements.
Demonstrates strong technical leadership in data engineering within Azure cloud environments.
Experienced in capacity planning and optimization of data pipelines for performance and scalability.
Comfortable working in cross-functional and distributed teams following structured project lifecycle processes.