Data Engineer

We are looking for an experienced Data Engineer to support a data migration and integration programme within a relatively low maturity Azure environment. The role will focus on designing and building robust data pipelines, migrating data from a wide range of legacy and enterprise source systems, and establishing scalable data flows into Azure Data Lake and Databricks. A key part of the role will also involve integrating data into a proprietary data transformation solution where applicable. Key Skills & Experience Azure Data Engineering Azure Data Factory (ADF) Azure Data Lake Databricks Building ETL / ELT pipelines Large-scale data migration and integration Oracle and/or Oracle Fusion data sources SharePoint data extraction and integration Working with multiple and varied source systems Data transformation, mapping and validation Designing data pipelines in environments where architecture and processes are still developing Key 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 a variety of source systems, including: Oracle Oracle Fusion Informatica SharePoint, which will be an initial priority 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.