DE&A - Core - Cloud Data Engineering - Databricks

The role is responsible for supporting end-to-end data and reporting services across the

analytics landscape, including Power BI dashboards, Azure Databricks data processing

and transformation pipelines, Azure SQL/Synapse data warehouses, minor

enhancements and associated Azure data platform components.

Mandatory

8+ years of experience in BI, Data Engineering, or Analytics Platform Support.

Minimum 5 years of hands-on experience supporting Azure Databricks environments.

Strong PySpark development and troubleshooting experience.

Experience supporting enterprise-wide analytics and reporting platforms.

Strong SQL troubleshooting and data investigation skills.

Experience supporting Power BI production environments.

Experience working in a production support or IT operations environment.

We are looking for a hands-on site reliability engineer with strong expertise across the entire analytics value chain:

Source Systems → Azure Data Factory → Azure Data Lake → Databricks (PySpark

Transformations) → Azure SQL/Synapse → Power BI Dashboards & MI Reporting

The ideal candidate should be equally comfortable investigating a failed dashboard refresh,

troubleshooting a Databricks job, analysing SQL data discrepancies, or resolving an end-to-end data

pipeline failure.

Mandatory

8+ years of experience in BI, Data Engineering, or Analytics Platform Support.

Minimum 5 years of hands-on experience supporting Azure Databricks environments.

Strong PySpark development and troubleshooting experience.

Experience supporting enterprise-wide analytics and reporting platforms.

Strong SQL troubleshooting and data investigation skills.

Experience supporting Power BI production environments.

Experience working in a production support or IT operations environment.