15 of 15 Spark SQL Jobs in the UK excluding London

Logistics. What You'll Do Lakehouse Engineering (Azure + Databricks) Build and maintain scalable ELT pipelines using Lakeflow Declarative Pipelines, PySpark and Spark SQL. Work within a Medallion architecture (Bronze ? Silver ? Gold) to deliver reliable, high-quality datasets. Ingest data from multiple sources including ChargeBee, legacy operational files … SharePoint, SFTP, SQL, REST and GraphQL APIs using Azure Data Factory and metadata-driven patterns. Apply data quality and validation rules using Lakeflow Declarative Pipelines expectations. Curated Layers & Data Modelling Develop clean and conforming Silver & Gold layers aligned to enterprise subject areas. Contribute to dimensional modelling (star schemas ...

Logistics. What You'll Do Lakehouse Engineering (Azure + Databricks) Build and maintain scalable ELT pipelines using Lakeflow Declarative Pipelines, PySpark and Spark SQL. Work within a Medallion architecture (Bronze Silver Gold) to deliver reliable, high-quality datasets. Ingest data from multiple sources including ChargeBee, legacy operational files … SharePoint, SFTP, SQL, REST and GraphQL APIs using Azure Data Factory and metadata-driven patterns. Apply data quality and validation rules using Lakeflow Declarative Pipelines expectations. Curated Layers & Data Modelling Develop clean and conforming Silver & Gold layers aligned to enterprise subject areas. Contribute to dimensional modelling (star schemas ...

data architectures using Medallion (Bronze/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support BI teams Implement governance, security, and CI/… business requirements into technical solutions Essential Skills Strong experience with Microsoft Fabric workloads (Lakehouse, Data Factory, Pipelines, Notebooks, Semantic Models) Advanced PySpark/Spark SQL for large-scale transformations Integration with Dynamics 365, Dataverse, and/or Business Central CI/CD implementation using Azure DevOps ...

data architectures using Medallion (Bronze/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support BI teams Implement governance, security, and CI/… business requirements into technical solutions Essential Skills Strong experience with Microsoft Fabric workloads (Lakehouse, Data Factory, Pipelines, Notebooks, Semantic Models) Advanced PySpark/Spark SQL for large-scale transformations Integration with Dynamics 365, Dataverse, and/or Business Central CI/CD implementation using Azure DevOps ...

Microsoft Fabric architectures using the Medallion pattern. Building metadata-driven ingestion pipelines and optimising Delta Lake performance. Writing advanced PySpark/Spark SQL notebooks for large-scale transformations. Developing semantic models for enterprise reporting and enabling Direct Lake. Leading client workshops and guiding technical decisions. Implementing … Looking For Hands-on experience with Microsoft Fabric workloads: Lakehouse, Data Factory, Pipelines, Notebooks, Delta Lake, Eventstreams, Semantic Models. Advanced PySpark/Spark SQL skills and strong data engineering fundamentals. Integration experience with Dynamics 365, Dataverse, Business Central. CI/CD expertise with Azure DevOps/ ...

data architecture aligned with modern best practices. Building and managing ingestion pipelines using Databricks and related tools. Developing PySpark/Spark SQL notebooks for complex transformations and cleansing. Applying governance, security, and CI/CD best practices across cloud environments. Leading technical discussions and producing professional … documentation. To be successful in this role, you will have: Hands-on experience with Databricks including Unity Catalog. Strong PySpark/Spark SQL skills for large-scale transformations. Experience integrating with diverse data sources such as APIs, cloud storage and databases. Experience with the Azure cloud ...

modeling, ETL/ELT development, and collaborative engineering practices. Key Responsibilities * Design, develop, and maintain scalable data pipelines using Azure Databricks (Python, PySpark, SQL). * Build and optimize ETL/ELT workflows that ingest data from various on-prem and cloud-based sources. * Work with Azure services including … Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure SQL, and Event Hub. * Implement data quality validation, monitoring, metadata management, and governance processes. * Collaborate closely with data architects, analysts, and business stakeholders to understand data requirements. * Optimize Databricks clusters, jobs, and runtimes for performance and cost ...

optimize end-to-end data pipelines using Azure services Build and maintain scalable ETL/ELT workflows using Azure Databricks (PySpark/SQL) Develop and manage data warehouses and analytics solutions using Azure Synapse Analytics Ingest data from multiple sources (APIs, databases, files, streaming sources) into Azure data … operational processes Required Qualifications 3+ years of experience as a Data Engineer or in a similar role Strong experience with Azure Databricks (PySpark, Spark SQL) Hands-on experience with Azure Synapse Analytics (dedicated and/or serverless pools) Solid understanding of data warehousing concepts and dimensional ...

Title: SQL Data Architect - Azure Stack Location: Remote with occasional travel to Birmingham Salary/Rate: Up to £600 per day inside IR35 Start Date: 12/01/2026 Job Type: Contract - 12 months Company Introduction: We have an exciting opportunity now available with … sector-leading consultancy clients! They are currently looking for a skilled SQL Data Architect to join their team for a twelve-month contract. Required Skills/Experience: The ideal candidate will have the following: Extensive experience in data engineering/DBA/architecture with a focus on Microsoft ...

quality data solutions. Key Responsibilities: Develop, optimise, and maintain ETL/ELT pipelines within Databricks Build reliable data ingestion frameworks using PySpark and Spark SQL Design well-structured data models across medallion/lakehouse architecture Work with DevOps teams to automate deployments using CI/ ...

plans and lead the development of data processing workflows. From a technical standpoint you must possess: Extensive Databricks experience including Unity Catolog and Spark SQL Strong programming skills, preferably in Python and SQL Strong knowledge and experience in Azure, including working with Azure Data ...

house team, this role could be the next step for you. Data Engineer Responsibilities: Design, build, and optimise data pipelines in Python, PySpark, SparkSQL, and Databricks. Ingest, transform, and enrich structured, semi structured, and unstructured data. Operate and support production grade data systems with strong observability and monitoring. Enable real ...

metadata-driven data pipelines using ADF and Databricks. Build and implement end-to-end metadata frameworks, ensuring scalability and reusability. Optimize data workflows leveraging SparkSQL and Pandas for... ...

driven data pipelines using ADF and Databricks. xxuwjjq Build and implement end-to-end metadata frameworks, ensuring scalability and reusability. Optimize data workflows leveraging SparkSQL and Pandas for Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply. ...

metadata-driven data pipelines using ADF and Databricks. Build and implement end-to-end metadata frameworks, ensuring scalability and reusability. Optimize data workflows leveraging SparkSQL and Pandas for large-scale data processing. Collaborate with cross-functional teams to integrate data solutions into enterprise architecture. Implement CI/CD pipelines … Expertise in building and orchestrating data pipelines. Databricks: Hands-on experience with notebooks, clusters, and job scheduling. Pandas: Advanced data manipulation and transformation skills. SparkSQL: Strong knowledge of distributed data processing and query optimization. CI/CD: Experience with tools like Azure DevOps, Git, or similar for automated deployments. Metadata ...