51 to 75 of 195 PySpark Jobs in the UK excluding London

Engineering Experience required ACTIVE SC is mandatory Essential requirement: Azure Data Factory and Synapse data solution provision Azure DevOps Microsoft Azure PowerBi Python misson Pyspark Dimension Data Model Semantic Data Models, including integration to Power BI Data Engineering Capabilities Business analysis to understand service needs and and documents accurately More ❯

Azure-based platforms (Synapse, Data Factory, Databricks) Familiarity with data regulations (GDPR, FCA) and SMCR environments Bonus points for experience with Python, R, or PySpark Why You Should Apply: Executive-level visibility and the chance to lead a high-impact transformation Full budget ownership with the freedom to shape More ❯

Azure-based platforms (Synapse, Data Factory, Databricks) Familiarity with data regulations (GDPR, FCA) and SMCR environments Bonus points for experience with Python, R, or PySpark Why You Should Apply: Executive-level visibility and the chance to lead a high-impact transformation Full budget ownership with freedom to shape systems More ❯

AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks. Experience in one or more of the listed Languages or Packages: Python, R, Pyspark, Scala, PowerBI, Tableau. Proven experience in successfully delivering multiple complex data rich workstreams in parallel to supporting wider strategic ambitions and supporting others in More ❯

ground running in Databricks and ideally have knowledge of Apache Spark. Naturally you'll have sound SQL exposure and AWS from a Cloud perspective. Pyspark would be hugely advantageous to this position too. The platform integrates Power BI so it would be fab if you could present complex reports More ❯

Owner or Product Manager. Practical cloud-native experience. Expertise in Computer Science, Computer Engineering, Mathematics, or related fields. Deep understanding of technologies such as PySpark, AWS Cloud, Databricks, Java. Experience implementing scaled platforms. Excellent communication skills to engage diverse stakeholders. Preferred Qualifications, Capabilities, and Skills Experience working at the More ❯

effectiveness, including Azure DevOps. Considerable experience designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc. Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use. Strong More ❯

in Computer Science, Statistics, Data Science, or a related field. Extensive experience in clinical data programming and Data Visualization. Strong experience with Python programming (PySpark, Databricks, pandas, Numpy) is mandatory for this role. Good SDTM Knowledge. Strong SAS/R Programming and SQL expertise. Proficiency in CDISC SDTM standards. More ❯

Knowledge of Data Warehouse/Data Lake architectures and technologies. Strong working knowledge of a language for data analysis and scripting, such as Python, Pyspark, R, Java, or Scala. Experience with any of the following would be desirable but not essential; Microsoft's Fabric data platform, Experience with ADF More ❯

Analyst: Must hold experience with data analytic techniques, ideally applied to real-life objects. Must hold a year's professional experience using Python/Pyspark/Pandas. Experience with processing data and working with databases/datalakes (SQL). Strong understanding of data manipulation, analysis and processing. Ability to More ❯

to work collaboratively with offshore teams Previous experience in financial services , ideally banking Leadership or previous mentoring experience (nice to have) Tech Stack: Python , PySpark SQL (data validation, transformation logic) Reasonable Adjustments: We understand that there are a wide range of reasons that you may require reasonable adjustments to More ❯

field. Experienced with cloud based data processing platforms such as AWS, and/or Databricks. You have firm software development skills with Python/PySpark, Terraform, Git, CI/CD, Docker. Comfortable with relational and NoSQL databases/datastores such as Elasticsearch. Familiar with the threat landscape and threat More ❯

machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with keen attention to detail. Excellent communication skills More ❯

machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with keen attention to detail. Excellent communication skills More ❯

machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with keen attention to detail. Excellent communication skills More ❯

sprint planning sessions. Monitor data pipeline executions and investigate test failures or anomalies. Document test results, defects, and quality metrics. Preferred qualifications: Experience with PySpark or notebooks in Databricks. Exposure to Azure DevOps, Unit Testing frameworks, or Great Expectations for data testing. Knowledge of data warehousing or medallion architecture More ❯

data technologies Experience in designing, managing and overseeing task assignment for technical teams. Mentoring data engineers Strong Exposure to SQL, Azure Data Factory, Databricks & PySpark is a must have. Experience in Medallion Silver Layer modelling Experience in Agile project environment Insurance experience – Policy and Claims Understanding of DevOps, continuous More ❯

Spark, Azure Data Factory, Synapse Analytics). Proven experience in leading and managing a team of data engineers. Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL. Strong understanding of data modeling, ETL processes, and data warehousing concepts. Knowledge of More ❯

record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skills—able to translate complex insights into business impact Experience working in More ❯

record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skills—able to translate complex insights into business impact Experience working in More ❯

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 More ❯

record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skills-able to translate complex insights into business impact Experience working in More ❯

record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross More ❯

record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross More ❯

record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross More ❯