14 of 14 Permanent Spark SQL Jobs

into ADLS Gen2 and OneLake Develop structured data models aligned to Lakehouse, Medallion Architecture, and Delta Lake patterns Continuously profile, debug, and optimise Spark jobs, SQL queries, and Python scripts for maximum performance and cost-efficiency at scale Champion DevOps best practices: implement infrastructure-as-code … environments Requirements Essential Technical Skills Advanced proficiency in Python and PySpark, writing clean, modular, object-oriented code for data transformations Strong command of SQL (T-SQL, Spark SQL) for data exploration, validation, and final-stage modelling Deep hands-on experience with Microsoft ...

Azure ecosystem . What You'll Do: Build and maintain ETL/ELT pipelines and data models in Fabric (Data Factory, Notebooks, Spark) Write high-performance Spark SQL, T-SQL, Python/PySpark Manage ingestion, transformation, and loading from multiple sources Translate … assisted development tools like GitHub Copilot, ChatGPT, and Fabric Copilot Essential Experience: Microsoft Fabric & Azure Data ecosystem Lakehouse architectures & Data Factory Python, PySpark, Spark SQL Proven hands-on delivery in this stack What's on Offer: Salary: £70,000 Excellent benefits & annual leave package Strong progression ...

producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards. Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services. Develop APIs and write efficient Python, PySpark, and SQL code to support data … related field. Proven experience designing and building cloud-based data platforms, ideally within Azure. Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory. Solid understanding of Data Lakehouse architecture and modern data platform design. Proficiency in Python for data engineering, automation ...

producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards. Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services. Develop APIs and write efficient Python, PySpark, and SQL code to support data … related field. Proven experience designing and building cloud-based data platforms, ideally within Azure. Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory. Solid understanding of Data Lakehouse architecture and modern data platform design. Proficiency in Python for data engineering, automation ...

combat travel-based issues and advice on expected interview topics/questions. Main Duties and Responsibilities Write clean and testable code using SQL and Python scripting languages, to enable our customer data products and business applications Build and manage data pipelines and notebooks, deploying code in a structured … Promote an innovative thinking process and encourage it in others. Working within the agile framework at Chambers Skills and Experience Strong proficiency in SQL , including Spark SQL and MS SQL Server , for querying, data manipulation, and performance optimization. Hands-on experience with ...

listed below, but experience with a combination of these would be valuable: Power BI, Tableau or other BI/visualisation tools Databricks or Spark (certifications are a plus) AWS (Solutions Architect knowledge desirable) SQL/Spark SQL Snowflake Cloud-based or enterprise ...

experience required Strong experience in data engineering Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema ...

Experience 5+ years' experience working as a Data Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Strong proficiency in Spark SQL and PySpark , including complex transformations Experience building ETL/ELT pipelines using tools ...

hands-on role. What You’ll Be Doing: • Designing and building end-to-end data pipelines using Databricks (PySpark/SQL/Delta Lake) • Developing and managing robust, scalable Lakehouse architectures • Implementing Delta Live Tables (DLT) for reliable, testable, production-grade pipelines • Optimising performance using: • Working with Unity … Data Scientists, Analysts, and Platform teams to improve developer experience and platform usability Key Skills & Experience: • Strong experience building pipelines with PySpark/Spark SQL • Deep understanding of Delta Lake • Databricks Platform Expertise • Hands-on experience with: Unity Catalog (governance & security), Spark Declarative Pipelines ...

Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns, distributed compute, data modelling, and performance optimisation. Strong programming skills in Python, PySpark, and Spark SQL, with experience implementing CI/CD pipelines (Azure DevOps, branching/merging, automation). Solid knowledge of data governance, lineage, access ...

Databricks in enterprise-scale environments. Strong knowledge of Delta Lake , Medallion architecture, distributed compute and Lakehouse engineering patterns. Advanced Python, PySpark and Spark SQL skills, including deploying data workloads through Azure DevOps CICD , branching/merging and automated testing. Solid understanding of data governance, lineage, access ...

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 ...