14 of 14 PySpark Jobs in the North of England

data services – Databricks, ADF, ADLS, Power BI. Proficiency in SQL and data profiling for test design and validation. Hands-on experience with test automation frameworks such as Python/PySpark, Great Expectations, Pytest, or dbt tests. Practical understanding of CI/CD integration (Azure DevOps, GitHub Actions, or similar). Strong problem-solving skills and the ability to work More ❯

Essential Skills Include: Proven leadership and mentoring experience in senior data engineering roles Expertise in Azure Data Factory, Azure Databricks, and lakehouse architecture Strong programming skills (Python, T-SQL, PySpark) and test-driven development Deep understanding of data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (e.g., Kubernetes, Azure More ❯

within a cross-functional environment. Experience in line management or team leadership, with a track record of developing and supporting engineers. AWS (Lambda, Glue, ECS, S3, etc.) Python and PySpark (data pipelines, APIs, automation) TypeScript and React (frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection More ❯

within a cross-functional environment. Experience in line management or team leadership, with a track record of developing and supporting engineers. AWS?(Lambda, Glue, ECS, S3, etc.) Python and PySpark?(data pipelines, APIs, automation) TypeScript and React?(frontend development) Excellent communication and stakeholder management skills. Demonstrated expertise in technical design and architecture of distributed systems. Familiarity with fraud detection More ❯

Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯

Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯

Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯

understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can lead, work independently as well as play a key role in a team. Good communication and interpersonal skills for working in a multicultural work More ❯

profiling, ingestion, collation and storage of 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 Engineer, you will: Digest More ❯

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer) Our … modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No … Benefits To apply for this position please send your CV to Nathan Warner at Noir Consulting. (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data More ❯

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-making through advanced data and More ❯

source of truth. Develop and optimise CI/CD pipelines in Azure DevOps to automate deployment of workspaces, Unity Catalog, networking, and security. Work with Databricks (Spark/Scala, PySpark) to support ingestion frameworks, data processing, and platform-level libraries. Implement secure connectivity (VNET injection, Private Link, firewall, DNS, RBAC). Monitor, troubleshoot, and optimise platform reliability and performance. … processes, and standards for wider engineering adoption. Must Have: Proven expertise with Microsoft Azure (networking, security, storage, compute). Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark . Deep experience with Terraform for Azure resource deployment and governance. Hands-on with Azure DevOps pipelines (YAML, agents, service connections). Understanding of Azure Active Directory/Entra More ❯

source of truth. Develop and optimise CI/CD pipelines in Azure DevOps to automate deployment of workspaces, Unity Catalog, networking, and security. Work with Databricks (Spark/Scala, PySpark) to support ingestion frameworks, data processing, and platform-level libraries. Implement secure connectivity (VNET injection, Private Link, firewall, DNS, RBAC). Monitor, troubleshoot, and optimise platform reliability and performance. … processes, and standards for wider engineering adoption. Must Have: Proven expertise with Microsoft Azure (networking, security, storage, compute). Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark . Deep experience with Terraform for Azure resource deployment and governance. Hands-on with Azure DevOps pipelines (YAML, agents, service connections). Understanding of Azure Active Directory/Entra More ❯

source of truth. Develop and optimise CI/CD pipelines in Azure DevOps to automate deployment of workspaces, Unity Catalog, networking, and security. Work with Databricks (Spark/Scala, PySpark) to support ingestion frameworks, data processing, and platform-level libraries. Implement secure connectivity (VNET injection, Private Link, firewall, DNS, RBAC). Monitor, troubleshoot, and optimise platform reliability and performance. … processes, and standards for wider engineering adoption. Must Have: Proven expertise with Microsoft Azure (networking, security, storage, compute). Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark . Deep experience with Terraform for Azure resource deployment and governance. Hands-on with Azure DevOps pipelines (YAML, agents, service connections). Understanding of Azure Active Directory/Entra More ❯