10 of 10 Remote/Hybrid Spark SQL Jobs in England

using Delta Lake principles Ingest, transform, and curate data from multiple sources (APIs, databases, files, streaming) Develop scalable data transformations using PySpark and Spark SQL Implement data models optimized for analytics and reporting (e.g. star schemas) Monitor, troubleshoot, and optimize performance and cost of data workloads … Experience Strong experience with Microsoft Fabric (Lakehouse, Pipelines, Notebooks, Dataflows, OneLake) Hands-on experience with Databricks in production environments Proficiency in PySpark and SQL Solid understanding of data engineering concepts (ETL/ELT, orchestration, partitioning) Experience working with Delta Lake Familiarity with cloud platforms (Azure preferred) Experience integrating ...

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 ...

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 ...

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 ...

role, focused on building, optimising, and operating Databricks-based Lakehouse solutions across cloud environments. Responsibilities: Design, build, and maintain data pipelines using Databricks (Spark, Delta Lake). Develop batch and streaming workloads using PySpark/Spark SQL. Implement data ingestion, transformation, and orchestration pipelines. Optimise Databricks … Databricks with cloud-native services across Azure, AWS, or GCP. Skills: Strong hands-on expertise with Databricks in production environments. Advanced PySpark and Spark SQL development experience. Experience building lakehouse architectures using Delta Lake. Strong cloud experience in Azure (preferred), AWS, or GCP. Experience with orchestration ...

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 ...

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 ...

SAS2PY) and manual refactoring. Pipeline Engineering: Design, build, and troubleshoot complex ETL/ELT workflows and data marts on AWS. Performance Tuning: Optimise Spark workloads for execution efficiency, partitioning, and cost-effectiveness. Quality Assurance: Implement clean coding principles, modular design, and robust unit/comparative testing to ensure …/CD integration, and comprehensive technical documentation. Technical Requirements PySpark (P3): 5+ years of hands-on experience writing scalable, production-grade PySpark/Spark SQL. AWS Data Stack (P3): Strong proficiency in EMR, Glue, S3, Athena, and Glue Workflows. SAS Knowledge (P1): Solid foundation in SAS to enable ...