17 of 17 PySpark Jobs in the North of England

regular company events What you'll need: Solid experience in data engineering, management and analysis Strong experience with Azure Data Warehouse solutions and AWS Databricks platforms Exceptional Python/PySpark + additional languages for data processing Strong SQL with experience across both relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra) Hands-on knowledge of AWS S3 and More ❯

financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed processing More ❯

business needs. Contribute to pre-sales, proposals, and thought leadership activities. Requirements Strong experience designing and maintaining data platforms and ETL/ELT solutions. Solid knowledge of Databricks, Python, PySpark, Spark SQL, Azure and/or AWS. Data modelling expertise (Inmon, Kimball, Data Vault). Familiar with DataOps practices and pipeline monitoring. Experience with sensitive data and applying security More ❯

decisions.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 ❯

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 ❯

Deliver end-to-end BI solutions using Azure Synapse, ADF, and Power BI (Datasets & Reports) Design and implement scalable data models and architectures Develop robust pipelines using SQL, Python (PySpark), and ideally other OOP languages Manage CI/CD processes using Git and modern deployment tools Debug, monitor, and optimize BI solutions across Microsoft's stack, including legacy tools More ❯

Azure. Especially Synapse, ADF and Power BI (Datasets and Reports). Ideally SSIS, SSRS, SSAS with some understanding of Power App design and delivery Proficient in SQL and Python (PySpark) languages Understanding of data modelling concepts Experience of working with code management & deployment tools Proficient in debugging, monitoring, tuning and troubleshooting BI solutions. Knowledge and a proven track record More ❯

with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is More ❯

with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is 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 ❯

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 ❯

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 ❯

alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in the data pipeline Advocate for data quality … best practices across the business Provide mentorship and contribute to a culture of continuous improvement About You: Proficient in Python and SQL Experience working with large datasets, preferably using PySpark Solid understanding of AWS or similar cloud infrastructure Methodical, detail-oriented, and comfortable working independently Able to translate business needs into technical solutions Previous experience building monitoring or data More ❯

data quality initiatives across multiple teams and projects. Must-have skills and experience: Proficiency in Python and SQL for analytical modelling, data interrogation, and scripting Hands-on experience with PySpark and distributed data processing at scale Production deployment of statistical or machine learning models Cloud infrastructure experience , preferably with AWS Methodical problem-solving mindset with exceptional attention to detail … monitoring and alerting systems across data platforms Collaborating with stakeholders to define relevant metrics, thresholds, and KPIs Building and maintaining production-level statistical and ML models using Python and PySpark Deploying solutions within AWS cloud infrastructure Developing scalable frameworks to support future monitoring needs across departments Investigating and resolving data anomalies and pipeline irregularities Driving data quality standards and More ❯

to £70,000 p/a plus bonus & excellent benefits Shape the future of monitoring & alerting infrastructure for a global data insights provider We’re looking for strong Python, PySpark, and AWS skills, with experience in large-scale data systems Hybrid working – 2-3 days in the office ABOUT THE CLIENT: Our client is a pioneering force in the … embedding best practices in data quality and monitoring. KEY SKILLS/EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work with technical and non-technical … express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Python/PySpark/AWS/SQL/Monitoring & Alerting/Data Quality/Machine Learning/Statistical Modelling More ❯

to £70,000 p/a plus bonus & excellent benefits Shape the future of monitoring & alerting infrastructure for a global data insights provider We’re looking for strong Python, PySpark, and AWS skills, with experience in large-scale data systems Hybrid working – 2-3 days in the office ABOUT THE CLIENT: Our client is a pioneering force in the … embedding best practices in data quality and monitoring. KEY SKILLS/EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work with technical and non-technical … express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Python/PySpark/AWS/SQL/Monitoring & Alerting/Data Quality/Machine Learning/Statistical Modelling More ❯

to £70,000 p/a plus bonus & excellent benefits Shape the future of monitoring & alerting infrastructure for a global data insights provider We’re looking for strong Python, PySpark, and AWS skills, with experience in large-scale data systems Hybrid working – 2-3 days in the office ABOUT THE CLIENT: Our client is a pioneering force in the … embedding best practices in data quality and monitoring. KEY SKILLS/EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work with technical and non-technical … express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Python/PySpark/AWS/SQL/Monitoring & Alerting/Data Quality/Machine Learning/Statistical Modelling More ❯