Data Engineer

Salary: £? - ? per year

Requirements:

• Experience as a Data Engineer supporting data migration and integration programmes
• Experience designing and building robust data pipelines
• Strong Azure Data Engineering experience
• Hands-on experience with Azure Data Factory (ADF)
• Experience with Azure Data Lake and Databricks
• Experience building ETL/ELT pipelines
• Experience with large-scale data migration and integration
• Experience working with Oracle and/or Oracle Fusion data sources
• Experience extracting and integrating SharePoint data
• Experience working with multiple and varied source systems
• Experience with data transformation, mapping and validation
• Experience designing data pipelines in environments where architecture and processes are still developing

Responsibilities:

• Design, build and maintain data migration and ingestion pipelines within Azure
• Support the setup and development of the Azure Data Lake environment
• Build integrations between source systems, Azure Data Lake and Databricks
• Develop and manage pipelines using Azure Data Factory (ADF)
• Extract and migrate data from source systems including Oracle, Oracle Fusion, Informatica, SharePoint and additional enterprise and legacy systems as the programme develops
• Help define scalable data ingestion, transformation and migration patterns for future source systems
• Support data quality, validation and troubleshooting throughout the migration process
• Work closely with technical and business stakeholders to understand source data, target structures and transformation requirements
• Help improve the overall maturity of the Azure data environment, introducing appropriate engineering standards and best practices

Technologies:

• Azure
• Databricks
• ETL
• Informatica
• Support
• Oracle
• SharePoint
• Cloud

More:

We are supporting a data migration and integration programme within a relatively low maturity Azure environment. The role focuses on building scalable data flows into Azure Data Lake and Databricks, integrating data into a proprietary data transformation solution where applicable, and working with a wide range of legacy and enterprise source systems. We are looking for someone who can help us develop the Azure data environment while partnering closely with technical and business stakeholders.

last updated 37 week of 2026