1 to 25 of 114 Permanent Databricks Jobs in the South West

rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, Palantir Experience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLM Search and ranking experience. For example Elasticsearch or rerankers Background in time ...

rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, Palantir Experience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLM Search and ranking experience. For example Elasticsearch or rerankers Background in time ...

rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, Palantir Experience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLM Search and ranking experience. For example Elasticsearch or rerankers Background in time ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

experience in data engineering roles (midsenior level) Hands-on expertise with Azure data services such as Data Factory, Synapse and Azure SQL Experience using Databricks and Python in data processing workflows Strong SQL skills and practical knowledge of dimensional modelling and warehouse design Familiarity with CI/CD approaches ...

team members. To be successful in this role, you will have: Solid proficiency in SQL and Python Working knowledge of Azure Synapse, Data Factory, Databricks or Fabric. Understanding of data lake and medallions architectures Experience with Power BI and a strong understanding of data modelling Some of the package/ ...

team members. To be successful in this role, you will have: Solid proficiency in SQL and Python Working knowledge of Azure Synapse, Data Factory, Databricks or Fabric. Understanding of data lake and medallions architectures Experience with Power BI and a strong understanding of data modelling Some of the package/ ...

team members. To be successful in this role, you will have: Solid proficiency in SQL and Python Working knowledge of Azure Synapse, Data Factory, Databricks or Fabric. Understanding of data lake and medallions architectures Experience with Power BI and a strong understanding of data modelling Some of the package/ ...

Architect and deliver enterprise-scale data platforms on Azure Implement CI/CD and automation for data pipelines and ML workflows Design solutions leveraging Databricks, Azure Data Factory, and AI/ML tools Collaborate with stakeholders to align data strategy with business goals Coach and mentor engineers, fostering technical excellence ...

distributed streaming systems. Solid understanding of SQL and data modeling. Experience with containerization (Docker) and orchestration (Kubernetes). Working knowledge of Flink, Spark, or Databricks for data processing. Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.). Basic scripting in Python for automation or data manipulation. Secondary Skills Experience ...

data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency … Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead teams ...

have delivered ML techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine Learning Engineer ...

have delivered ML techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine Learning Engineer ...

have delivered ML techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine Learning Engineer ...

have delivered ML techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine Learning Engineer ...

have delivered ML techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine Learning Engineer ...

have delivered ML techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine Learning Engineer ...

preference for solutions built on Microsoft platforms. Practical experience designing and delivering solutions using services such as Microsoft Fabric, Azure Data Factory, Synapse Analytics, Databricks, and the wider Azure data ecosystem. Advanced capability in writing and optimising SQL to explore, manipulate, and maintain high-volume, complex data assets. Proven track ...

preference for solutions built on Microsoft platforms. Practical experience designing and delivering solutions using services such as Microsoft Fabric, Azure Data Factory, Synapse Analytics, Databricks, and the wider Azure data ecosystem. Advanced capability in writing and optimising SQL to explore, manipulate, and maintain high-volume, complex data assets. Proven track ...

cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different ...

cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different ...

cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different ...

tech-agnostic, so we work with a range of cloud, ETL/ELT, data warehouse, BI + AI tools (eg Azure, AWS, GCP, Databricks, Fabric, Snowflake, Redshift...) § Evidence that you're an AI-advocate and experiment with new technology § Experience in a similar client-facing data consultancy role § Confident ...