5 of 5 Dimensional Modelling Jobs in the Midlands

conducting rigorous code reviews. Proven experience designing and building complex, scalable data pipelines using both batch and streaming/event driven patterns. Strong data modelling skills: dimensional modelling, data vault, or equivalent, with a track record of building well structured, reusable BigQuery data models. Experience with Dataform ...

Airflow. Advanced Python and SQL skills with a strong software engineering mindset. Proven experience building complex, scalable batch and event-driven pipelines. Strong data modelling experience, including dimensional modelling, Data Vault or equivalent. Experience with Dataform or similar SQL-based transformation tooling. Understanding of CI/ ...

proactive mindset, eager to provide guidance to less experienced developers and support collaborative pair-programming. Desirable Skills Experience with PySpark or PySQL. Experience in Dimensional Modelling and data warehousing principles. Experience with SQL Server SSAS Tabular and DAX. Exposure to SQL Server RDBMS and Managed Instance. Knowledge ...

Jobs.· Collaborate on CI/CD with Platform (Repos, Git, deployment pipelines, Terraform Jobs/Infrastructure as Code).Analytics Engineering· Model curated gold datasets, dimensional models, and semantic layers for BI (Tableau/PowerBI).· Optimise SQL Warehouses for performance, concurrency, and cost; maintain versioned metric definitions.· Document tables ...

Factory) and unified analytics platforms like Databricks. Professional Behaviours: Eagerness to Learn: A proactive mindset with a strong desire to learn modern data architecture, dimensional modeling, and cloud technologies. Collaboration: Ability to work effectively within multifunctional, fast-moving product teams. Communication: Clear written and spoken English skills, with … ideas. Desirable (Nice to Have): Familiarity with PySpark or relational database management systems (SQL Server RDBMS). An interest in data warehousing principles or dimensional modeling. A passion for exploring how Artificial Intelligence (AI) and Machine Learning (ML) can be applied to real-world data problems. ...