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/

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 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).

analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator