Senior Azure Data Engineer

As an engineer working within an established Microsoft Fabric data platform, you will support the delivery of a large number of data transformation workflows. The focus of this role is on high-quality, fast execution of flow-specific development within an existing architecture. This position is suitable for mid-level engineers who are hands-on, productive, and capable of working independently as part of a wider team. Key Responsibilities: - Deliver PySpark-based development against defined requirements - Work within an existing Fabric-based architecture - Amend and extend existing pipelines (not building from scratch) - Support optimization, fixes, and enhancements - Contribute to data transformation logic for multiple data flows - Support export of data to downstream systems Qualifications Required: - PySpark essential - Hands-on experience with Microsoft Fabric and/or Databricks in production use - Notebook-based development (Fabric / Synapse / Databricks) - Strong data pipeline development experience (ETL / ELT) - Experience working within Medallion architecture (Bronze / Silver / Gold) - Understanding of good coding practices (readability, structure, maintainability) - Azure ecosystem experience preferred - Experience working with CRM systems The role requires 25 years of experience at the mid-level. You should be able to work independently on defined user stories, comfortable working as part of a collaborative delivery team, and not looking for architects or junior profiles. Experience in energy/utilities / MHHS is a nice-to-have. In this role, you will have regular engagement with internal stakeholders (technical and business) in a highly collaborative and interactive manner. Strong communication skills are required, and you will be working full-time in UK hours. As an engineer working within an established Microsoft Fabric data platform, you will support the delivery of a large number of data transformation workflows. The focus of this role is on high-quality, fast execution of flow-specific development within an existing architecture. This position is suitable for mid-level engineers who are hands-on, productive, and capable of working independently as part of a wider team. Key Responsibilities: - Deliver PySpark-based development against defined requirements - Work within an existing Fabric-based architecture - Amend and extend existing pipelines (not building from scratch) - Support optimization, fixes, and enhancements - Contribute to data transformation logic for multiple data flows - Support export of data to downstream systems Qualifications Required: - PySpark essential - Hands-on experience with Microsoft Fabric and/or Databricks in production use - Notebook-based development (Fabric / Synapse / Databricks) - Strong data pipeline development experience (ETL / ELT) - Experience working within Medallion architecture (Bronze / Silver / Gold) - Understanding of good coding practices (readability, structure, maintainability) - Azure ecosystem experience preferred - Experience working with CRM systems The role requires 25 years of experience at the mid-level. You should be able to work independently on defined user stories, comfortable working as part of a collaborative delivery team, and not looking for architects or junior profiles. Experience in energy/utilities / MHHS is a nice-to-have. In this role, you will have regular engagement with internal stakeholders (technical and business) in a highly collaborative and interactive manner. Strong communication skills are required, and you will be working full-time in UK hours.