7 of 7 Star Schema Jobs in the North of England

Required Skills and Experience 5+ years of experience in ETL development using Informatica (PowerCenter and/or IICS). Strong understanding of data warehousing concepts , data modelling (dimensional/star schema), and data integration patterns. Hands-on experience with SQL and relational databases (e.g., Oracle, SQL Server, PostgreSQL). Familiarity with AWS data services such as S3, Redshift More ❯

design and rollout. Hands on experience with business intelligence tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage More ❯

ability to communicate issues and solutions to a variety of stakeholders including the facilitation of client workshops. An understanding of key data modelling concepts (e.g., fact and dimension tables, star schemas and snowflake schemas, denormalised tables, and views). Experience with data handling, e.g. data querying, data manipulation or data wrangling to transform raw data into the desired format More ❯

sector is alive with career potential. What Do We Need From You? Experience in the development of Azure Data solutions Knowledge of data modelling principles, including common patterns, e.g., star schema, snowflake, or data vault Experience in implementation end-to-end ETL/ELT solutions Experience in maintaining and optimising an Enterprise Data Warehouse Knowledge of data analysis More ❯

AI-ready data across commercial, operational, and network functions. Key Responsibilities Build and maintain robust ETL/ELT pipelines across multiple data sources Design data models using Kimball/star schema Implement tooling for data quality checks, lineage, and observability (e.g., dbt tests, Great Expectations, Azure Purview) Work closely with DevOps teams to embed CI/CD and More ❯

other cloud-native compute engines Establish coding standards, reusable components, and naming conventions using Prophecy's visual designer and metdata-driven approach Implement scalable and efficient data models (e.g star schema, scd typ2) for data marts and analytics layer Integrate Prophecy pipelines with orchestration tools like Airflow, data catalog tools for lineage Implement version control, automated testing and More ❯

SQL, Azure SQL DW. Ability to manage multiple priorities in a fast-paced environment. Knowledge of emerging technologies and their application to business problems. Experience with Kimball Methodology and Star Schemas. Experience with Enterprise Data Warehouse solutions. Working with structured and unstructured data. Google Analytics data experience is a plus. Retail industry experience is preferred. Strong understanding of cloud More ❯