6 of 6 Data Warehouse Jobs in Glasgow

environments to support unit, regression, and user acceptance testing. Establish strong relationships with stakeholders to understand and prioritise issues. Create specifications, process/data maps and use cases. Work with other Analysts on designing and operating data interfaces and APIs. Work with IT team, vendors and … security access; monitoring KPIs and gathers performance metrics. Create and update application support documentation. Work with Analytics team in identifying table relationships and data behaviour to improve data quality within the data warehouse. Develop reports and dashboards to assist in identifying KPIs and data more »

Solution design on complex large-scale initiatives In-depth understanding of Operational Data Store, Data Lake and Data Warehouse/Data Lakehouse principles, best practices, and design patterns Understanding of Data Integration and Data Streaming principles, best … work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively more »

Job Title: Azure Databricks Data Engineer Location: UK-Wide Offices - Hybrid (Primarily Remote) Salary: £70,000 to £100,000 (plus Pension, Benefits, and Bonus) We're looking for a skilled Azure Data Engineers to join our clients team and help us build robust, scalable, and secure … data platforms. In this role, you'll work with Databricks, Apache Spark, and Azure technologies to design, develop, and implement data warehouses, lakehouses, and AI/ML models that drive our data-centric initiatives. What You'll Do Build High-Performance Data Pipelines : Use Databricks and Apache Spark to transform and load data into Azure services. Develop Secure Data Solutions : Create data models, apply quality checks, and implement governance for accuracy and reliability. Integrate AI/ML Models : Build machine learning models in Databricks more »

Do you want to work with cutting edge data and analytics technologies to help our clients unlock their data potential and value? Do you want to lead and mentor teams of expert technologists on exciting data projects? Do you want to work in an … to grow our team with people just like you! About the Role We work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps … business value. Our projects manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams more »

environments to support unit, regression, and user acceptance testing. Establish strong relationships with stakeholders to understand and prioritise issues. Create specifications, process/data maps and use cases. Work with other Analysts on designing and operating data interfaces and APIs. Work with IT team, vendors and … security access; monitoring KPIs and gathers performance metrics. Create and update application support documentation. Work with Analytics team in identifying table relationships and data behaviour to improve data quality within the data warehouse. Develop reports and dashboards to assist in identifying KPIs and data more »

Job Title: Azure Databricks Data Engineer Location: UK-Wide Offices - Hybrid (Primarily Remote) Salary: £70,000 to £100,000 (plus Pension, Benefits, and Bonus) We're looking for a skilled Azure Data Engineers to join our clients team and help us build robust, scalable, and secure … data platforms. In this role, you'll work with Databricks, Apache Spark, and Azure technologies to design, develop, and implement data warehouses, lakehouses, and AI/ML models that drive our data-centric initiatives. What You'll Do Build High-Performance Data Pipelines : Use Databricks and Apache Spark to transform and load data into Azure services. Develop Secure Data Solutions : Create data models, apply quality checks, and implement governance for accuracy and reliability. Integrate AI/ML Models : Build machine learning models in Databricks more »