1 to 25 of 114 Databricks Jobs in the North of England

analytics methodologies such as attrition modelling, pay equity analysis, employee lifetime value, skills inference, or organisational network analysis. Familiarity with big data frameworks (Spark, Databricks, Dask) and cloud platforms (AWS, Azure, GCP). Knowledge of Snowflake and experience integrating with HR and business data. Familiarity with MLOps principles, CI/ ...

Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker ...

Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker ...

Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker ...

Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker ...

Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker ...

Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker ...

Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker ...

Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker ...

Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker ...

Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker ...

Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker ...

Azure). Expert-level SQL and database design (normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/CD practices. Experience with Data lake, Data warehouse ...

Azure). Expert-level SQL and database design (normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/CD practices. Experience with Data lake, Data warehouse ...

Azure). Expert-level SQL and database design (normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/CD practices. Experience with Data lake, Data warehouse ...

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 ...

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 ...

with data engineers on scalable pipelines, and translate business problems into analytical solutions. Core Tech Stack: Python & SQL (Expert level) Azure ML, Azure Synapse, Databricks MLOps, MLflow, CI/CD pipelines NLP, Deep Learning, Time-Series Forecasting Power BI for data storytelling Docker & Kubernetes What We Need: Strong grasp ...

with data engineers on scalable pipelines, and translate business problems into analytical solutions. Core Tech Stack: Python & SQL (Expert level) Azure ML, Azure Synapse, Databricks MLOps, MLflow, CI/CD pipelines NLP, Deep Learning, Time-Series Forecasting Power BI for data storytelling Docker & Kubernetes What We Need: Strong grasp ...

with data engineers on scalable pipelines, and translate business problems into analytical solutions. Core Tech Stack: Python & SQL (Expert level) Azure ML, Azure Synapse, Databricks MLOps, MLflow, CI/CD pipelines NLP, Deep Learning, Time-Series Forecasting Power BI for data storytelling Docker & Kubernetes What We Need: Strong grasp ...

with data engineers on scalable pipelines, and translate business problems into analytical solutions. Core Tech Stack: Python & SQL (Expert level) Azure ML, Azure Synapse, Databricks MLOps, MLflow, CI/CD pipelines NLP, Deep Learning, Time-Series Forecasting Power BI for data storytelling Docker & Kubernetes What We Need: Strong grasp ...