10 of 10 Contract Star Schema Jobs

fully reconciled Facts and Dimensions with accurate end-user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self-starter with More ❯

PE & PFE. · Experience working with large scale, multi-terabyte data warehouses including performance tuning, query optimization and execution plan analysis · Advanced knowledge of data warehousing principles, dimensional modelling and star schema design · Hands-on experience with SQL Server and Snowflake, including their architecture, features and best practices · Familiarity with data integration tools (SSIS, ADF) and techniques (ELT, ETL More ❯

Criteria You'll need all of these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of More ❯

Criteria You'll need all of these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of More ❯

pipelines using modern, cloud-based tools and practices Proficiency in Python and SQL for data engineering tasks Experience with DBT and a good understanding of data modelling approaches (e.g. star schema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure Experience using version control More ❯

pipelines using modern, cloud-based tools and practices Proficiency in Python and SQL for data engineering tasks Experience with dbt and a good understanding of data modelling approaches (e.g. star schema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure Experience using version control More ❯

reports Translate performance and reporting needs into clear technical solutions Connect and integrate data from multiple sources (Capita, SQL Server, Excel, SharePoint, APIs) Build efficient, scalable data models (e.g. star schema) Define and embed KPIs in collaboration with the Data Group, SEND Business Analyst, and Head of Service Schedule data refreshes and manage gateway configurations Ensure consistency, accuracy More ❯

Senior Data Engineer Strong hands-on experience building and maintaining automated data pipelines Advanced proficiency in Python and SQL Experience with dbt and strong understanding of data modelling (e.g., star schema) Proficient with orchestration tools such as Airflow Comfortable working with AWS services (Glue, S3, etc.) or similar cloud platforms Experience with Git, GitHub Actions and CI/ More ❯

pipelines using modern, cloud- based tools and practices Proficiency in Python and SQL for data engineering tasks Experience with dbt and a good understanding of data modelling approaches (e.g. star schema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure Experience using version control More ❯

following - Power BI dashboard and report development Translating business requirements into technical reporting solutions Working with data sources including SQL Server, Excel, SharePoint, APIs, and Capita Data modelling using star schema and other best practices KPI and metric definition with business stakeholders Scheduling data refreshes and managing gateway connections Supporting users with training, troubleshooting and documentation Collaborating across More ❯