13 of 13 PySpark Jobs in Manchester

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 ❯

Server Data Warehouse to AWS, and helping to deliver scalable, real-time data solutions across the business.This role offers the chance to work with cutting-edge tools such as PySpark and Iceberg while collaborating with analysts, data scientists, and wider tech teams to drive automation, enable BI, and support advanced analytics. It's a role that balances hands-on … date with emerging data technologies and apply them where relevant The Skill Requirements: Hands-on experience with AWS services (Glue, Lambda, S3, Redshift, EMR) Strong skills in Python, SQL, PySpark and pipeline orchestration Proven understanding of data warehousing and data lakehouse concepts Excellent problem-solving skills with the ability to resolve performance bottlenecks Clear communicator, comfortable working with technical 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 ❯

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 ❯

and implement scalable monitoring and alerting solutions across data pipelines Define critical metrics and thresholds in collaboration with technical and non-technical teams Build and deploy models using Python, PySpark, and AWS services Troubleshoot data anomalies and promote best practices in data quality Contribute to future-proof frameworks that support growth across teams and projects Mentor junior colleagues and … support a culture of curiosity and rigor ?? What We're Looking For: Strong Python and SQL skills Experience with large datasets and distributed processing (PySpark) Familiarity with deploying models into production environments Solid understanding of cloud infrastructure (preferably AWS) A proactive, detail-oriented mindset and the ability to deliver independently Bonus: Experience building monitoring or data quality frameworks 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 ❯