4 of 4 Part-Time Azure Synapse Analytics Jobs in England

Customer First mindset, creating unforgettable holidays and flights. Trusted, high‐quality data is critical to this, and we’re looking for a Lead Data & Analytics Engineer to help drive delivery excellence and build a high‐performing analytics engineering team. This role is analytics engineering led, with responsibility … senior stakeholders, while remaining close enough to the detail to ensure quality, manage risk, and support your team effectively. As our Lead Data & Analytics Engineer, you’ll have access to a wide range of benefits including: \n \n Mostly remote working, with one day per month in our Leeds ...

core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. \n Experience in establishing data analytics and supporting AI solutions. \n Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. \n Good working … experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n Desirable Skills \n \n Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. ...

core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. \n Experience in establishing data analytics and supporting AI solutions. \n Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. \n Good working … experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n Desirable Skills \n \n Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. ...

core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. \n Experience in establishing data analytics and supporting AI solutions. \n Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. \n Good working … experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n \n Desirable Skills \n \n \n Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. ...