4 of 4 Azure Synapse Analytics Jobs in Essex

TEKenable, a multi-award-winning Microsoft partner and one of Deloitte’s Fastest 50, you’ll work with cutting-edge technologies like Microsoft Azure Synapse, Microsoft Fabric, and Power BI. In this customer-facing role, you’ll collaborate directly with clients to solve complex data challenges, delivering scalable … providing a stimulating and dynamic work environment. Comprehensive Benefits : Enjoy benefits like remote working, health insurance, flexible working hours & company trips. Experience with the Azure Intelligent Data Platform, including Data Lakes, Data Factory, Azure Synapse, Azure SQL, and Power BI. Knowledge of Microsoft Fabric. Proficiency ...

Developer or in a similar data-focused role Advanced knowledge of Microsoft SQL Server, T-SQL, indexing, and query optimisation Experience with Azure SQL and related services (e.g. Azure Data Factory, Synapse Analytics is a plus) Strong understanding of data security and governance best practices Experience ...

Fabric Data Engineer to join as they set up an exciting new project team within the group. This would suit an experienced Azure Data Engineer with good Fabric experience looking to join a new, growing team with plenty of exciting projects and cutting tech on the horizon. This will … them into technical solutions Monitor and troubleshoot data processes, ensuring performance and reliability Document data workflows, processes, and system architecture Requirements: Good experience with Azure technologies for Data Engineering, with 12 months or more using Fabric tools as part of real world projects, ideally through ...

z2bz0 years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies. Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). … Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration : Assessment ...