1 to 25 of 38 Spark SQL Jobs in the UK

more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans … date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL . Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI . Enterprise-scale experience with ETL tools ...

more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans … date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL . Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI . Enterprise-scale experience with ETL tools ...

more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans … date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL . Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI . Enterprise-scale experience with ETL tools ...

more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans … date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL . Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI . Enterprise-scale experience with ETL tools ...

more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans … date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL . Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI . Enterprise-scale experience with ETL tools ...

more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans … date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL . Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI . Enterprise-scale experience with ETL tools ...

more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans … date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL . Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI . Enterprise-scale experience with ETL tools ...

more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans … date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL . Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI . Enterprise-scale experience with ETL tools ...

growing, forward-thinking data teamWhat 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 … development tools like GitHub Copilot, ChatGPT, and Fabric CopilotEssential Experience: Microsoft Fabric is essential Azure Data ecosystem Lakehouse architectures & Data Factory Python, PySpark, Spark SQL Proven hands-on delivery in this stackIf you're an experienced Data Engineer with s... ...

forward-thinking data team 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 … tools like GitHub Copilot, ChatGPT, and Fabric Copilot Essential Experience: Microsoft Fabric is essential Azure Data ecosystem Lakehouse architectures & Data Factory Python, PySpark, Spark SQL Proven hands-on delivery in this stack If you're an experienced Data Engineer with strong Microsoft Fabric and Azure experience ...

cloud-based data pipelines for ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing … applications. Desired Qualifications: 3-5years of experience in data engineering, ideally working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration ...

cloud-based data pipelines for ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing … applications. Desired Qualifications: 3-5years of experience in data engineering, ideally working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration ...

cloud-based data pipelines for ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing … applications. Desired Qualifications: 3-5years of experience in data engineering, ideally working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration ...

cloud-based data pipelines for ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing … applications. Desired Qualifications: 3-5years of experience in data engineering, ideally working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration ...

cloud-based data pipelines for ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing … applications. Desired Qualifications: 3-5years of experience in data engineering, ideally working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration ...

cloud-based data pipelines for ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing … applications. Desired Qualifications: 3-5years of experience in data engineering, ideally working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration ...

cloud-based data pipelines for ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing … applications. Desired Qualifications: 3-5years of experience in data engineering, ideally working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration ...

Engineer within Azure cloud environments. Proven hands-on expertise with Azure Databricks in enterprise-scale production environments. Strong programming skills using: Python/SQL/PySpark/Spark SQL. Experience designing and building scalable data pipelines and data processing frameworks. Strong understanding of modern Lakehouse architecture … understand data requirements and translate them into scalable engineering solutions. Design, develop and maintain high-performance data pipelines using Azure Databricks, PySpark, Spark SQL and Python. Contribute to the design and implementation of Lakehouse architecture using Delta Lake and Databricks best practices. Develop and manage data ...

designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement … . Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub ...

designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement … . Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub ...

designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement … . Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub ...

designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement … . Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub ...

designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement … . Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub ...

designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement … . Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub ...

designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement … . Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub ...