101 to 125 of 140 PySpark Jobs in England

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

datasets optimized for Power BI. Secure: Implement rigorous data security, GDPR compliance, and client ring-fencing (Row-Level Security). Innovate: Create SQL and PySpark notebooks to prepare feature engineering datasets for AI/ML models. Collaborate: Work independently via Jira/GitHub, maintaining high CI/… What You Bring 5+ years of Data Engineering experience. Expertise: Deep knowledge of Snowflake and Microsoft Fabric . Tech Stack: Advanced SQL , Python , and PySpark (Notebooks). Modelling: Strong relational data modelling and cloud cost optimization skills. DevOps: Experience with GitHub, CI/CD, and workflow orchestration. Randstad Technologies ...

maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments Develop and optimise data ingestion/transformation workflows Develop Python and PySpark processes for data transformation and large-scale processing Support the development and optimisation of Power BI datasets, reports and dashboards Build and maintain scalable semantic … data engineering solutions Skills and Experience Hands-on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines Experience developing Python or PySpark solutions for large-scale data processing Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture Experience developing Power BI datasets, semantic models ...

solutions, 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 integration, processing … Data Engineering, or a 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 ...

maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments Develop and optimise data ingestion/transformation workflows Develop Python and PySpark processes for data transformation and large-scale processing Support the development and optimisation of Power BI datasets, reports and dashboards Build and maintain scalable semantic … testing standards across all BI and data engineering solutions Hands-on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines Experience developing Python or PySpark solutions for large-scale data processing Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture Experience developing Power ...

maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments Develop and optimise data ingestion/transformation workflows Develop Python and PySpark processes for data transformation and large-scale processing Support the development and optimisation of Power BI datasets, reports and dashboards Build and maintain scalable semantic … data engineering solutions Skills and Experience Hands-on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines Experience developing Python or PySpark solutions for large-scale data processing Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture Experience developing Power BI datasets, semantic models ...

maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments Develop and optimise data ingestion/transformation workflows Develop Python and PySpark processes for data transformation and large-scale processing Support the development and optimisation of Power BI datasets, reports and dashboards Build and maintain scalable semantic … data engineering solutions Skills and Experience Hands-on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines Experience developing Python or PySpark solutions for large-scale data processing Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture Experience developing Power BI datasets, semantic models ...

maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments Develop and optimise data ingestion/transformation workflows Develop Python and PySpark processes for data transformation and large-scale processing Support the development and optimisation of Power BI datasets, reports and dashboards Build and maintain scalable semantic … data engineering solutions Skills and Experience Hands-on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines Experience developing Python or PySpark solutions for large-scale data processing Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture Experience developing Power BI datasets, semantic models ...

maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments Develop and optimise data ingestion/transformation workflows Develop Python and PySpark processes for data transformation and large-scale processing Support the development and optimisation of Power BI datasets, reports and dashboards Build and maintain scalable semantic … data engineering solutions Skills and Experience Hands-on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines Experience developing Python or PySpark solutions for large-scale data processing Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture Experience developing Power BI datasets, semantic models ...

maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments Develop and optimise data ingestion/transformation workflows Develop Python and PySpark processes for data transformation and large-scale processing Support the development and optimisation of Power BI datasets, reports and dashboards Build and maintain scalable semantic … data engineering solutions Skills and Experience Hands-on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines Experience developing Python or PySpark solutions for large-scale data processing Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture Experience developing Power BI datasets, semantic models ...

maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments Develop and optimise data ingestion/transformation workflows Develop Python and PySpark processes for data transformation and large-scale processing Support the development and optimisation of Power BI datasets, reports and dashboards Build and maintain scalable semantic … data engineering solutions Skills and Experience Hands-on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines Experience developing Python or PySpark solutions for large-scale data processing Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture Experience developing Power BI datasets, semantic models ...

PySpark Engineer Lead As the Technical Lead, you will drive the high-stakes migration of legacy SAS analytics to a modern, cloud-native PySpark ecosystem on AWS. This isn't just a lift and shift you will refactor complex procedural logic into scalable, production-ready distributed pipelines … Tier-1 financial services environment. Core Responsibilities Engineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue. Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable Python code using SAS2PY and manual refactoring. Performance Tuning: Optimise Spark ...

PySpark Engineer Lead As the Technical Lead, you will drive the high-stakes migration of legacy SAS analytics to a modern, cloud-native PySpark ecosystem on AWS. This isn't just a lift and shift you will refactor complex procedural logic into scalable, production-ready distributed pipelines … Tier-1 financial services environment. Core Responsibilities Engineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue. Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable Python code using SAS2PY and manual refactoring. Performance Tuning: Optimise Spark ...

Lead PySpark Engineer (Cloud Migration) Role Type: 5-Month Contract Location: Remote (UK-Based) Experience Level: Lead/Senior (5+ years PySpark) Role Overview We are seeking a Lead PySpark Engineer to drive a large-scale data modernisation project, transitioning legacy data workflows into a high-performance … cloud environment. This is a hands-on technical role focused on converting legacy SAS code into production-ready PySpark pipelines within a complex financial services landscape. Key Responsibilities Code Conversion: Lead the end-to-end migration of SAS code (Base SAS, Macros, DI Studio) to PySpark using automated ...

Data Engineering Support Engineer to help keep our data pipelines and products running smoothly. This is a hands‐on role focused on PySpark and SQL, working mostly on existing jobs rather than building greenfield products. You’ll investigate and fix bugs in our data workflows, improve reliability and performance … features, even better – but the core of the job is support, stability and quality rather than product ownership. What you’ll do Monitor existing PySpark and SQL data pipelines, jobs and scheduled workflows. Investigate production issues, identify root causes, and fix bugs in existing code and configurations. Validate data ...

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 stakeholder requirements into scalable technical solutions Mentor team members and establish engineering standards, security, and governance … Leverage AI-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 & development ...

value from commercial data across Foundry. Key Responsibilities: Architect end-to-end AI solutions using Foundry, including machine learning models, large-scale data pipelines (PySpark), and production-grade deployment architectures within Foundry’s ecosystem. Evaluate and select optimal ML and data technologies, frameworks, and platform components within Foundry … degree in Computer Science, Engineering, or related field. Proven experience as an AI Architect, ML Engineer, or similar role implementing solutions on Foundry, PySpark, and cloud-based big data environments. Deep understanding of AI/ML algorithms, model optimization, and enterprise-grade model deployment (preferably via Foundry). Experience ...