sole Data Engineer, making this a role with huge growth potential. They're currently working with an external partner to build a brand-new Snowflake data warehouse, which brings a huge scope of work for you to lead on internally, including the development of scalable data pipelines, overseeing the integration … designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication and stakeholder management skills Benefits: Salary up to £85,000 depending on experience Bonus up to more »
City of London, London, United Kingdom Hybrid / WFH Options
Nigel Frank International
sole Data Engineer, making this a role with huge growth potential. They're currently working with an external partner to build a brand-new Snowflake data warehouse, which brings a huge scope of work for you to lead on internally, including the development of scalable data pipelines, overseeing the integration … designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication and stakeholder management skills Benefits: Salary up to £85,000 depending on experience Bonus up to more »
Southampton, Hampshire, South East, United Kingdom Hybrid / WFH Options
Datatech Analytics
series analysis and have had hands-on experience in their application. You've had some experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc. Proven experience of working with customer data. You've a strong commitment to accuracy and rigour in the analysis produced. You are more »
Southampton, Hampshire, South East, United Kingdom Hybrid / WFH Options
Datatech Analytics
predictive modelling, segmentation, time series analysis and applying these for decision making. You've had experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like. You've a track record of taking data science products from conception through to deployment in production. You've had more »
