Data Engineer
CurrentManage data pipelines and cloud data for the entire business, with data both onpremise (SQL Server/Oracle) and cloud (Snowflake/Azure). Building and maintaining the cloud data warehouse infrastructure, with DBT for transformations, data modelling.Automate and stream data flows through a mixture of managed and in-house servicesboth on premise and cloud. This includes, but not is not limited to, Fivetran, Stitch,Airflow, SSIS, Azure Data Factory (ADT), Databricks, Kafka & Qlik Replicate. Use theAzure DevOps suite to manage Dev/Prod work, keep stakeholders up to date andmaintain version control (GIT).Consume third party datathrough Python scripts and REST APIs, feeding to cloud warehouse.Guide junior members of the team and liaising with senior management on projectdeliveries and the wider direction of the team.