101 to 125 of 167 PySpark Jobs in England

controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. Strategy & Stakeholder Engagement Provide subject matter expertise in data governance and AI governance. Collaborate with business, data, and tech More ❯

controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. Strategy & Stakeholder Engagement Provide subject matter expertise in data governance and AI governance. Collaborate with business, data, and tech More ❯

controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. Strategy & Stakeholder Engagement Provide subject matter expertise in data governance and AI governance. Collaborate with business, data, and tech More ❯

controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. Strategy & Stakeholder Engagement Provide subject matter expertise in data governance and AI governance. Collaborate with business, data, and tech More ❯

controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. Strategy & Stakeholder Engagement Provide subject matter expertise in data governance and AI governance. Collaborate with business, data, and tech More ❯

estate and venture capital domain”. "• Lead the design and implementation of robust data architectures to support business needs and data strategy. • Utilize extensive experience in Azure Synapse, Python, PySpark, and ADF to architect scalable and efficient data solutions. • Oversee and optimize SSIS, SSRS, and SQL Server environments, ensuring high performance and reliability. • Write/review complex SQL queries More ❯

estate and venture capital domain”. "• Lead the design and implementation of robust data architectures to support business needs and data strategy. • Utilize extensive experience in Azure Synapse, Python, PySpark, and ADF to architect scalable and efficient data solutions. • Oversee and optimize SSIS, SSRS, and SQL Server environments, ensuring high performance and reliability. • Write/review complex SQL queries More ❯

estate and venture capital domain”. "• Lead the design and implementation of robust data architectures to support business needs and data strategy. • Utilize extensive experience in Azure Synapse, Python, PySpark, and ADF to architect scalable and efficient data solutions. • Oversee and optimize SSIS, SSRS, and SQL Server environments, ensuring high performance and reliability. • Write/review complex SQL queries More ❯

estate and venture capital domain”. "• Lead the design and implementation of robust data architectures to support business needs and data strategy. • Utilize extensive experience in Azure Synapse, Python, PySpark, and ADF to architect scalable and efficient data solutions. • Oversee and optimize SSIS, SSRS, and SQL Server environments, ensuring high performance and reliability. • Write/review complex SQL queries More ❯

estate and venture capital domain”. "• Lead the design and implementation of robust data architectures to support business needs and data strategy. • Utilize extensive experience in Azure Synapse, Python, PySpark, and ADF to architect scalable and efficient data solutions. • Oversee and optimize SSIS, SSRS, and SQL Server environments, ensuring high performance and reliability. • Write/review complex SQL queries More ❯

Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We More ❯

Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We More ❯

technical architects and uplifting data capability across teams. What You’ll Bring Proven experience as a Data Architect, Lead Data Engineer, or similar. Hands-on expertise with SQL, Python, PySpark, and Azure data technologies. Strong understanding of data governance frameworks and compliance. Experience designing enterprise-scale data platforms. Excellent communication and mentoring skills. What You’ll Get Hybrid working More ❯

technical architects and uplifting data capability across teams. What You’ll Bring Proven experience as a Data Architect, Lead Data Engineer, or similar. Hands-on expertise with SQL, Python, PySpark, and Azure data technologies. Strong understanding of data governance frameworks and compliance. Experience designing enterprise-scale data platforms. Excellent communication and mentoring skills. What You’ll Get Hybrid working More ❯

to working in an agile cross functional setup and with a broad range of partners. Proficiency with Python (or similar languages) and its libraries for machine learning such as PySpark, scikit-learn, pandas and pytorch. Prior experience with general software development practices including code management (Git) and testing. Collaborative spirit and a playful can-do attitude. Persistent with a More ❯

in the development and maintenance of Data warehouses Developing and deploying Azure Data Factory, Azure Data Bricks, Infomatica Customer 360, SQL, reports, and automation Employ a strong knowledge of PySpark to optimize and develop workbooks Configuring Informatica to integrate data with our EDP platform as well as create and monitor data quality rules Collaborating with Architects and Senior Engineers More ❯

on the principles of Event Driven Micro Services Architecture. Required skills Python AWS - SNS/SQS Lambda Step Functions ECS Spinnaker Kubernetes Kafka Terraform ORM frameworks Nice to have Pyspark and Databricks experience is a plus. Knowledge and experience in the JPM morgan ecosystem/tools will carry higher value. More ❯

deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into scalable More ❯

analytics efforts. Required Skills & Experience: 4–5 years of commercial experience in data science , preferably in eCommerce or marketing analytics. Strong hands-on experience with Databricks, SQL, Python, and PySpark ; knowledge of R and dashboarding tools is a plus. Proven experience with causal inference, MMM modelling, and experimentation . Strong analytical and problem-solving skills with the ability to More ❯

analytics efforts. Required Skills & Experience: 4–5 years of commercial experience in data science , preferably in eCommerce or marketing analytics. Strong hands-on experience with Databricks, SQL, Python, and PySpark ; knowledge of R and dashboarding tools is a plus. Proven experience with causal inference, MMM modelling, and experimentation . Strong analytical and problem-solving skills with the ability to More ❯

environments You're passionate about using data to create clarity and unlock positive change It would be great if you had: Experience in the energy retail sector Familiarity with PySpark Background in pricing or commercial modelling Here's what else you need to know: This role is open exclusively to internal applicants from E.ON UK and E.ON Next Role More ❯

that resonate You're motivated, adaptable, and love working in empowered, fast-moving environments It would be great if you had: Experience in the energy retail sector Familiarity with PySpark Background in pricing or commercial modelling Here's what else you need to know: This role is open exclusively to internal applicants from E.ON UK and E.ON Next Role More ❯

context. Proven success in leading analysts, including development, prioritisation, and delivery. Deep comfort with tools like SQL, Tableau, and large-scale data platforms (e.g., Databricks); bonus for Python or PySpark skills. Strong grasp of A/B testing, experimentation design, and statistical rigour. Exceptional communicator - able to distil complex data into clear, actionable narratives for senior audiences. Strategic thinker More ❯

Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise More ❯

Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise More ❯