26 to 33 of 33 PySpark Jobs in the North of England

services, data modeling, ETL/ELT development, and collaborative engineering practices. Key Responsibilities * Design, develop, and maintain scalable data pipelines using Azure Databricks (Python, PySpark, SQL). * Build and optimize ETL/ELT workflows that ingest data from various on-prem and cloud-based sources. * Work with Azure services … standards and best practices. Required Skills and Experience * Proven experience as a Data Engineer working with Azure cloud services. * Strong proficiency in Databricks, including PySpark, Spark SQL, notebooks, Delta Lake, and job orchestration. * Strong SQL and data modeling skills (e.g., dimensional modeling, data vault). * Experience with Azure Data ...

data for critical client projects. How to develop and enhance your knowledge of agile ways of working and working in open source stack (PySpark/PySql). Quality engineering professionals utilise Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery. As a Data ...

. Maintain/implement data warehousing solutions and manage large-scale data storage systems (e.g. Microsoft Fabric) Build and optimise SQL queries, stored procedures, PySpark notebooks and database objects to ensure data performance and reliability. Migrate and modernise legacy databases to cloud-based architectures. Database Administration Administer, monitor … normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/CD practices. Experience with Data lake, Data warehouse and Medallion architectures. Understanding of API integrations ...

. Maintain/implement data warehousing solutions and manage large-scale data storage systems (e.g. Microsoft Fabric) Build and optimise SQL queries, stored procedures, PySpark notebooks and database objects to ensure data performance and reliability. Migrate and modernise legacy databases to cloud-based architectures. Database Administration Administer, monitor … normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/CD practices. Experience with Data lake, Data warehouse and Medallion architectures. Understanding of API integrations ...

. Maintain/implement data warehousing solutions and manage large-scale data storage systems (e.g. Microsoft Fabric) Build and optimise SQL queries, stored procedures, PySpark notebooks and database objects to ensure data performance and reliability. Migrate and modernise legacy databases to cloud-based architectures. Database Administration Administer, monitor … normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/CD practices. Experience with Data lake, Data warehouse and Medallion architectures. Understanding of API integrations ...

Your new company This is a pivotal opportunity to join the Data and Innovation division of a large complex organisation leading the delivery of SAM (Supervisory Analytics and Metrics)-a transformative programme enhancing supervisory decision ...

efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Random Forest, CNN, Regression models … systems/engineering/related field 8+ years of experience in software engineering with a minimum of 4+ years in ML Good experience in Pyspark Expert level understanding of Python with design patterns and object-oriented programming. Experience debugging and reasoning about production issues is desirable. A good understanding ...

efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Random Forest, CNN, Regression models … systems/engineering/related field 8+ years of experience in software engineering with a minimum of 4+ years in ML Good experience in Pyspark Expert level understanding of Python with design patterns and object-oriented programming. Experience debugging and reasoning about production issues is desirable. A good understanding ...