Sure IT Recruitment

Azure Data Engineer Microsoft Fabric ETL West London Hybrid/Remote Flexibility We are looking for an experienced Azure Data Engineer to join our agile product delivery teams. In this role, you will leverage your expertise in data analysis, ETL, and cloud technology to discover, model, provision, and store data at scale in the cloud. You will transform these data assets into commercial data products to satisfy internal and external customer requirements. Key Responsibilities Ingest, warehouse, and store data at scale within the Azure cloud platform to create core data assets. Apply hands-on experience with Microsoft Fabric through active project work. Build high-value Data Products from Data Assets to fulfil commercial needs. Collaborate closely with Operations, Architecture, Delivery, Product, and Software Engineering teams to release platform increments. Contribute toward solution-level architecture, design, and continuous improvement of ADF and Synapse pipelines. Own releases end-to-end from development to production following DevOps and CI/CD methodologies. Migrate Legacy databases and storage systems to modern Azure cloud lakes and data warehouses. Integrate AI-driven capabilities into the coding, testing, and documentation of data engineering artifacts. Essential Skills: Minimum 3+ years of hands-on experience designing and developing complex ETL/ELT pipelines in the cloud using Azure Data Factory and Azure Synapse. Practical experience working in both Serverless and SQL pools in Synapse Analytics. Direct client project experience working within Microsoft Fabric. Strong background in creating detailed data mappings from high-level requirements to solution-level execution. Comprehensive understanding of data warehousing concepts across lakes and traditional databases, covering the full ETL life cycle. Proficiency in relational databases (SQL Server, MySQL), NoSQL, writing complex queries, and developing Stored Procedures. Hands-on experience working with PySpark Notebooks for data ingestion and provisioning. Strong understanding of Agile methodologies, automation Scripting, and DevOps/CI/CD pipelines. Desirable Skills: Coding experience in Python, PySpark, or similar languages. Experience utilizing AI-driven automation for coding, documentation, and testing. Exposure to other Azure technologies such as Power BI and Power Automate. Experience working with non-relational databases (CosmosDB, MongoDB) and handling unstructured data. Prior background working in the automotive or intelligence/data-provider industries. Soft Skills: Strong communication, problem-solving, and collaboration skills. High attention to detail with the ability to meet tight deadlines. Please forward your CV ASAP for immediate consideration

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. Key Responsibilities: 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. Essential Skills & Experience: 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 life cycle. 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. What's Offered: 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. Please forward your CV ASAP for immediate consideration.