19 of 19 Permanent PySpark Jobs in the South West

various departments to gather requirements and ensure data solutions reflect real business needs. Key Experience Required: Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets. Experience mentoring peers and supporting team growth More ❯

various departments to gather requirements and ensure data solutions reflect real business needs. Key Experience Required: Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets. Experience mentoring peers and supporting team growth More ❯

various departments to gather requirements and ensure data solutions reflect real business needs. Key Experience Required: Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets. Experience mentoring peers and supporting team growth More ❯

various departments to gather requirements and ensure data solutions reflect real business needs. Key Experience Required: Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets. Experience mentoring peers and supporting team growth More ❯

various departments to gather requirements and ensure data solutions reflect real business needs. Key Experience Required: Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets. Experience mentoring peers and supporting team growth More ❯

initiatives Key Requirements of the Database Engineer: Proven experience with Databricks, Azure Data Lake, and Delta Live Tables Strong programming in Python and Spark (PySpark or Scala) Solid knowledge of data modelling, warehousing, and integration concepts Comfortable working in Agile teams, with CI/CD and Azure DevOps experience More ❯

initiatives Key Requirements of the Database Engineer: Proven experience with Databricks, Azure Data Lake, and Delta Live Tables Strong programming in Python and Spark (PySpark or Scala) Solid knowledge of data modelling, warehousing, and integration concepts Comfortable working in Agile teams, with CI/CD and Azure DevOps experience More ❯

SSMS Data warehousing, ETL processes, best practice data management Azure cloud technologies (Synapse, Databricks, Data Factory, Power BI) Microsoft Fabric (not essential) Python/PySpark Proven ability to work in hybrid data environments Experience in finance or working with finance teams Ability to manage and lead on and offshore More ❯

integrity and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta More ❯

integrity and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta More ❯

integrity and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta More ❯

integrity and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta More ❯

integrity and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta More ❯

integrity and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta More ❯

is highly advantageous. Tech Expertise: Advanced knowledge in one or more of the following technologies: Google Cloud Platform, AWS, Microsoft Azure, Databricks, Python, R, Pyspark, Scala, PowerBI, Tableau. Your Role and Impact AI & Data Science Leadership: Youll guide and mentor the team while delivering impactful AI, Data Science, and More ❯

record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross More ❯

moderately complex software systems in production and have a curiosity and interest in learning more. In this role, you will be using python (specifically pyspark) and Node.js for processing data, backed by various Hadoop stack technologies such as HDFS and HBase. MongoDB and Elasticsearch are used for indexing smaller … experience working with moderately complex software systems in production and have a curiosity and interest in learning more. You will be using Python (specifically pyspark) and Node.js for processing data You will be using Hadoop stack technologies such as HDFS and HBase. Experience using MongoDB and Elasticsearch for indexing More ❯

and timely data solutions that power advanced analytics and business intelligence. What You'll Do: Architect and build scalable data pipelines using Microsoft Fabric, PySpark, and T-SQL Lead the development of Star Schema Lakehouse tables to support BI and self-service analytics Collaborate with stakeholders to translate business … a technical leader within the team Ensure data integrity, compliance, and performance across the platform What You'll Bring: Expertise in Microsoft Fabric, Azure, PySpark, SparkSQL, and modern data engineering practices Strong experience with Lakehouse architectures, data orchestration, and real-time analytics A pragmatic, MVP-driven mindset with a More ❯

and timely data solutions that power advanced analytics and business intelligence. What You'll Do: Architect and build scalable data pipelines using Microsoft Fabric, PySpark, and T-SQL Lead the development of Star Schema Lakehouse tables to support BI and self-service analytics Collaborate with stakeholders to translate business … a technical leader within the team Ensure data integrity, compliance, and performance across the platform What You'll Bring: Expertise in Microsoft Fabric, Azure, PySpark, SparkSQL, and modern data engineering practices Strong experience with Lakehouse architectures, data orchestration, and real-time analytics A pragmatic, MVP-driven mindset with a More ❯