4 of 4 Azure Jobs in Merton

Spark, or DataRobot. Strong understanding of data governance, privacy, and security principles including IG and GDPR. Familiarity with version control tools (e.g. GitHub or Azure DevOps) and collaborative coding practices. Proficiency in R Desirable Understanding of data engineering principles and processes. What our service users expect of this post ...

challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your ...

help shape and mature the Data Engineering capability supporting analytics across South East and South West London, working across Microsoft Fabric, Snowflake and Azure in a complex health and care data environment. This is an opportunity to influence not only what we build, but how we engineer--establishing better … debt and establishing engineering standards that improve reliability, maintainability, scalability and reuse.Your experience is likely to include several of the following: Microsoft Fabric Snowflake Azure OneLake Lakehouse architecture Data Factory Spark Python SQL ETL/ELT dimensional modelling Data Vault orchestration Git Azure DevOps/GitHub CI/ ...

Science, platform engineering, automation, data quality, orchestration and MLOps into a coherent and increasingly integrated service. Working across Microsoft Fabric, Snowflake and the wider Azure ecosystem, you will influence not only the technology we use, but how technical capability is organised, engineered and operationalised. You will translate strategic priorities … engineering, Data Science and automation to release capacity and accelerate analytical delivery. Lead the development and optimisation of Microsoft Fabric, Snowflake and Azure capabilities ensure platform architecture, performance, capacity, scalability, resilience and cost are actively managed and aligned with analytical requirements. Establish and assure modern DataOps, DevOps and MLOps ...