6 of 6 Spark SQL Jobs in the North of England

firefighting? You will design, build and maintain ETL and ELT pipelines , lakehouse structures and semantic models using Microsoft Fabric’s Dataflows Gen2, Notebooks, Spark SQL and Python. Your work will ensure data is accessible, trusted and well governed across hybrid on‑prem and cloud environments. … Essential Strong experience designing and operating scalable ETL/ELT pipelines. Hands‑on Microsoft Fabric experience (Dataflows Gen2, Notebooks, semantic models). SQL and Python proficiency, with Spark/Spark SQL exposure. Practical understanding of data quality, observability and troubleshooting. Ability ...

platform operations. • Architect and design end‐to‐end data platform solutions focused on scalability, security and reliability. • Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory. • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code. • Collaborate closely with data … Skills and Experience You will bring: • Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture. • Proficiency in PySpark, Python, SQL and Spark SQL. • Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines. • Experience with monitoring, logging and alerting ...

Databricks** You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions … management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers ...

Lakehouse platform in Azure. Owning Databricks engineering, administration and platform optimisation. Designing end-to-end data platform solutions Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory. Creating and maintaining CI/CD pipelines and automated testing frameworks. Developing APIs to support integration Implementing ...

following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...