1 to 25 of 33 PySpark Jobs in the North of England

with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ...

with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ...

with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ...

with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ...

e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

ideally in enterprise-scale environments Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake Hands-on experience with Spark (PySpark/SparkSQL) and distributed data processing Strong data modelling skills (Dimensional, ODS, Data Vault) and data warehousing concepts Proficiency in SQL, version control ...

overview of many different sectors. What We're Looking For 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

manage Ontology Objects, Links, and Actions to support downstream applications and workflows. Pipeline Development & Automation: Build scalable, fault-tolerant ETL/ELT pipelines using PySpark, SQL, and Foundry's proprietary tools like Pipeline Builder and Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions ...

manage Ontology Objects, Links, and Actions to support downstream applications and workflows. Pipeline Development & Automation: Build scalable, fault-tolerant ETL/ELT pipelines using PySpark, SQL, and Foundry's proprietary tools like Pipeline Builder and Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions ...

manage Ontology Objects, Links, and Actions to support downstream applications and workflows. Pipeline Development & Automation: Build scalable, fault-tolerant ETL/ELT pipelines using PySpark, SQL, and Foundry's proprietary tools like Pipeline Builder and Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions ...

manage Ontology Objects, Links, and Actions to support downstream applications and workflows. Pipeline Development & Automation: Build scalable, fault-tolerant ETL/ELT pipelines using PySpark, SQL, and Foundry's proprietary tools like Pipeline Builder and Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions ...

Experience Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing. Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions ...

robust in-house team, this role could be the next step for you. Data Engineer Responsibilities: Design, build, and optimise data pipelines in Python, PySpark, SparkSQL, and Databricks. Ingest, transform, and enrich structured, semi structured, and unstructured data. Operate and support production grade data systems with strong observability ...

years commercial software engineering experience, with a strong focus on data-engineering at scale Strong experience building robust & scalable data pipelines using Python and PySpark A deep knowledge of Schema Design, SQL and database optimizations Experience of being a bar-raiser and helping improve engineering best practices Experience ...

years commercial software engineering experience, with a strong focus on data-engineering at scale Strong experience building robust & scalable data pipelines using Python and PySpark A deep knowledge of Schema Design, SQL and database optimizations Experience of being a bar-raiser and helping improve engineering best practices Experience ...

years commercial software engineering experience, with a strong focus on data-engineering at scale Strong experience building robust & scalable data pipelines using Python and PySpark A deep knowledge of Schema Design, SQL and database optimizations Experience of being a bar-raiser and helping improve engineering best practices Experience ...

years commercial software engineering experience, with a strong focus on data-engineering at scale Strong experience building robust & scalable data pipelines using Python and PySpark A deep knowledge of Schema Design, SQL and database optimizations Experience of being a bar-raiser and helping improve engineering best practices Experience ...

years commercial software engineering experience, with a strong focus on data-engineering at scale Strong experience building robust & scalable data pipelines using Python and PySpark A deep knowledge of Schema Design, SQL and database optimizations Experience of being a bar-raiser and helping improve engineering best practices Experience ...