Data Engineer Azure Global Data Analytics SaaS Solutions Fabric West London/Remote & Office Hybrid

Are you a skilled Data Engineer looking to build out next-generation SaaS products and enterprise data platforms? We are seeking a talented Azure Data Engineer to join a dynamic, agile product delivery team. In this role, you will leverage your data analysis, ETL, and cloud technology expertise to discover, model, provision, and store data at scale in the cloud. You will work closely with cross-functional teams to convert raw data assets into commercial data products provisioned for internal and external customers., * Data Ingestion & Storage: Ingest, warehouse, and store data at scale within the Azure cloud platform.

• Pipeline Design: Design, build, and optimize complex ADF and Azure Synapse pipelines following best practices and design principles.
• Product Provisioning: Build high-value Data Products from underlying Data Assets to meet commercial requirements.
• DevOps Ownership: Own end-to-end releases from development through to production using CI/CD methodologies.
• Data Migration: Migrate Legacy databases and storage solutions into modern Azure cloud-based lakes and data warehouses.
• Cross-Functional Collaboration: Partner with Architecture, Delivery, Product, and Software Engineering teams to release regular platform increments.

• Hands-on experience designing and developing complex ETL/ELT pipelines in the cloud using Azure Data Factory (ADF) and Azure Synapse.
• Strong background in PySpark Notebooks for data ingestion, processing, and provisioning.
• Deep understanding of data warehousing concepts (Data Lake, Lakehouse, Traditional DBs) across the full ETL lifecycle.
• Hands-on proficiency with relational databases (SQL Server, MySQL), SQL querying, and developing Stored Procedures.
• Understanding of DevOps, CI/CD deployment processes, and Agile delivery frameworks.
• Experience preparing technical data mappings from high-level requirements down to solution-level detail.

Desirable Skills:

• Hands-on experience with Microsoft Fabric, Power Automate, or Power BI.
• Exposure to non-relational databases (CosmosDB, MongoDB) and handling unstructured data.
• Background in automotive, data provider, or global market intelligence industries.

• Competitive salary and comprehensive benefits package.
• Flexible hybrid working model balancing office and remote working.
• Open, collaborative, and creative work environment with focus on continuous development.