11 of 11 Remote/Hybrid PySpark Jobs in the North of England

services such as Synapse, Data Factory, Databricks or Fabric Strong SQL skills with experience building optimised, complex queries Proficiency in Python and/or PySpark for data transformation and automation Strong experience with Power BI and modern data modelling techniques Demonstrable experience leading data engineering initiatives or projects Excellent ...

services such as Synapse, Data Factory, Databricks or Fabric Strong SQL skills with experience building optimised, complex queries Proficiency in Python and/or PySpark for data transformation and automation Strong experience with Power BI and modern data modelling techniques Demonstrable experience leading data engineering initiatives or projects Excellent ...

services such as Synapse, Data Factory, Databricks or Fabric Strong SQL skills with experience building optimised, complex queries Proficiency in Python and/or PySpark for data transformation and automation Strong experience with Power BI and modern data modelling techniques Demonstrable experience leading data engineering initiatives or projects Excellent ...

backgrounds. The technology stack is flexible, but experience in some of the following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake ...

Azure ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power BI. Extensive knowledge in data modelling, DAX, Python/PySpark, SQL/KQL. Proven record of technical leadership and effective stakeholder engagement. Design and deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power ...

Required Strong hands-on experience with Microsoft Fabric Experience building end-to-end Lakehouse solutions Good data modelling skills (e.g. star schema) Experience using PySpark or Spark SQL Building data pipelines from APIs, ERP or SaaS systems Working with Fabric pipelines, notebooks and Dataflows Understanding of data governance ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

analysis, model development, and data interrogation. Strong knowledge of PyTorch or similar ML frameworks. Experience handling large datasets and distributed processing with PySpark or similar is desirable . Experience of experimentation tools such as MLflow is a bonus. Comfort with deploying ML models into production environments. Familiarity with ...

have but not essential Experience working with Feedzai, behavioural data, or complementary analytics tools. Experience working with notebooks in Jupyter Labs and PySpark on large dataframes. Exposure to industry forums, law-enforcement collaboration, or external fraud intelligence networks. Practical understanding of machine-learning concepts or model performance techniques that ...

tagging, monitoring and platform operations. • Architect and design end‐to‐end data platform solutions focused on scalability, security and reliability. • Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory. • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code. • Collaborate closely with data … followed. Your Skills and Experience You will bring: • Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture. • Proficiency in PySpark, Python, SQL and Spark SQL. • Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines. • Experience with monitoring, logging and alerting solutions. ...