6 of 6 Star Schema Jobs in the South East

of enterprise data management and governance principles. Proven experience delivering Business Intelligence (BI) solutions and dashboards to enable data-driven decisions. Experience designing relational and dimensional data models (e.g. star schema, snowflake, etc.). Proficient in ETL and data warehousing, including handling slowly changing dimensions. Excellent communication and interpersonal skills, with the ability to liaise confidently between technical 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 ❯

application SQL Server database performance and SQL tuning Experience in handling large databases Knowledge of column store indexes Very good SSRS skills Data warehouse experience, design of data marts, star schemas and type 2 slowly changing dimensions Data analysis skills Desirable Skills and Knowledge: Experience with tSQLt unit testing Understands the Agile software development lifecycle and working knowledge of 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 ❯

for Power BI. What we need from you Excellent knowledge of reporting software tools such as Sequel Server Management Studio, Data Warehousing Concepts, DevOps, Power BI. Good understanding of star schema models and the use in Power BI. Excellent communication skills and ability to adapt to a wide audience. Ability to use SQL query to shape data requirements. 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 ❯