5 of 5 Remote Permanent Spark SQL Jobs

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 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 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 ...

Data Engineer, you will be a key member of our dedicated data engineering, reporting, and analytics team. You will bring deep expertise in Apache Spark to the group, complementing the existing engineering talent and strengthening our overall data engineering capability. Spark is the core distributed processing … week onsite during probation) Employment Type: Full-time Experience Level: Senior Position Responsibilities Design, develop, and optimize large-scale distributed data pipelines using Apache Spark as the core processing engine. Implement robust batch and streaming solutions using modern Lakehouse patterns (e.g., Delta Lake, streaming ingestion, structured transformations). ...

including pension scheme and PMI Role and Responsibilities Design, build, and deploy scalable data pipelines using Azure Databricks, Azure Data Factory, and Azure SQL Database Optimise Databricks environments for performance, cost efficiency, and security Develop and maintain ETL/ELT processes and data quality frameworks Translate business requirements … environments Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake Hands-on experience with Spark (PySpark/SparkSQL) and distributed data processing Strong data modelling skills (Dimensional, ODS, Data Vault) and data warehousing concepts Proficiency in SQL, version control ...