2 of 2 Azure Synapse Analytics Jobs in West London

Data & Analytics Engineer 12 Month FTC Liberty Wines is modernising its data estate: migrating from on-prem Analysis Services to the cloud, moving our WMS, ERP and bespoke apps to scalable platforms, and expanding AI/ML initiatives. We are evaluating both Fabric and Databricks as a potential strategic fit. As our hands-on Data & Analytics Engineer, youll … term data strategy Data Engineering Develop and orchestrate ETL/ELT, middleware and integrations Ingest data from WMS, ERP, ecommerce, IoT and ad-hoc sources (CSV, APIs, unstructured). Analytics & Reporting Model data (DAX, Tabular Editor) and build stunning dashboards used by Sales, Buying, Ops & Finance Optimise datasets for performance, incremental refresh and DirectQuery. AI/ML Enablement Work …/CD, source control (Git), and automate Fabric workspace deployment Define data-quality rules, lineage and catalogue standards About You Solid track record in Data Engineering, BI Development or Analytics Engineering roles Strong SQL skills and a solid understanding of data-modelling principles (e.g., dimensional modelling, 3NF) Experience designing and building modern data pipelines and Lakehouse architectures Hands-on More ❯

established and rapidly growing global ecommerce business with its headquarters based in London. The Data Engineer Manager will play a pivotal role at the heart of our clients data & analytics operation. Having implemented a new MS Fabric based Data platform, the need is now to scale up and meet the demand to deliver data driven insights and strategies right … roadmap for the ongoing development and enhancement of the Data Platform. Design, implement, and oversee scalable data pipelines and ETL/ELT processes within MS Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services. Advocate for engineering best practices and ensure long-term sustainability of systems. Integrate principles of data quality, observability, and governance throughout … data organization. Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and trustworthy data platform that supports production services such as dashboards, new product launches, analytics, and data science initiatives. Develop and maintain comprehensive data models, data lakes, and data warehouses (e.g., utilizing Azure Synapse). Collaborate with data analysts, Analytics Engineers More ❯