1 to 25 of 33 Databricks Jobs in the South West

someone with: Proven experience as a Data Engineer or similar cloud-first data role. Expertise in Microsoft Azure data services (Data Factory, Synapse, Databricks) and Microsoft Fabric. Strong SQL skills for managing large-scale datasets. Experience integrating Microsoft Dynamics 365 data solutions. Knowledge of data modelling, warehousing, and ETL/ ...

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 ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

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 ...

with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

data architecture and analytics leadership Strong expertise in modern data platforms, data modeling, and data product development Hands-on experience with Azure Data Services, Databricks, and cloud-based data ecosystems Solid understanding of data governance, security, and compliance Excellent stakeholder management, communication, and leadership skills Why join Work on large ...

data architecture and analytics leadership Strong expertise in modern data platforms, data modeling, and data product development Hands-on experience with Azure Data Services, Databricks, and cloud-based data ecosystems Solid understanding of data governance, security, and compliance Excellent stakeholder management, communication, and leadership skills Why join Work on large ...

data architecture and analytics leadership Strong expertise in modern data platforms, data modeling, and data product development Hands-on experience with Azure Data Services, Databricks, and cloud-based data ecosystems Solid understanding of data governance, security, and compliance Excellent stakeholder management, communication, and leadership skills Why join Work on large ...

data architecture and analytics leadership Strong expertise in modern data platforms, data modeling, and data product development Hands-on experience with Azure Data Services, Databricks, and cloud-based data ecosystems Solid understanding of data governance, security, and compliance Excellent stakeholder management, communication, and leadership skills Why join Work on large ...

data architecture and analytics leadership Strong expertise in modern data platforms, data modeling, and data product development Hands-on experience with Azure Data Services, Databricks, and cloud-based data ecosystems Solid understanding of data governance, security, and compliance Excellent stakeholder management, communication, and leadership skills Why join Work on large ...

data architecture and analytics leadership Strong expertise in modern data platforms, data modeling, and data product development Hands-on experience with Azure Data Services, Databricks, and cloud-based data ecosystems Solid understanding of data governance, security, and compliance Excellent stakeholder management, communication, and leadership skills Why join Work on large ...

LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. Be creative, ambitious and curious. ...

LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. Be creative, ambitious and curious. ...

LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. Be creative, ambitious and curious. ...

LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. Be creative, ambitious and curious. ...

LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. Be creative, ambitious and curious. ...

LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. Be creative, ambitious and curious. ...

academic and professional services communities to drive adoption. Desirable Experience with major cloud and AI stacks such as Azure OpenAI/OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service … pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility ...

academic and professional services communities to drive adoption. Desirable Experience with major cloud and AI stacks such as Azure OpenAI/OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service … pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility ...

academic and professional services communities to drive adoption. Desirable Experience with major cloud and AI stacks such as Azure OpenAI/OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service … pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility ...

academic and professional services communities to drive adoption. Desirable Experience with major cloud and AI stacks such as Azure OpenAI/OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service … pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility ...

academic and professional services communities to drive adoption. Desirable Experience with major cloud and AI stacks such as Azure OpenAI/OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service … pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility ...

academic and professional services communities to drive adoption. Desirable Experience with major cloud and AI stacks such as Azure OpenAI/OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service … pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility ...

experience with modern data platforms and architectures Comfortable working in a client-facing data role Experience across cloud and data tools (Azure, AWS, GCP, Databricks, Snowflake, etc.) Confident communicator with both technical and non-technical stakeholders Passion for data & AI and emerging technologies The details: Location: Bristol - Once a month ...