7 of 7 Dimensional Modelling Jobs in Manchester

tools such as Azure Data Factory and/or Fabric Data Pipelines Experience with Python or PySpark for data transformation Understanding of data modelling (dimensional modelling, medallion architecture) Strong communication skills and ability to work with non-technical stakeholders Desirable: Experience migrating from legacy systems (e.g. ...

e.g., Azure SQL, Snowflake). Experience with ETL/ELT tooling (e.g., SSIS, dbt, Azure Data Factory) and data pipeline design. Understanding of data modelling principles (normalisation, dimensional modelling/star schema for data warehousing). Experience of diagnosing and resolving database performance issues. Familiarity with database ...

work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership. Key responsibilities include: Designing and building curated datasets using dimensional and semantic modelling techniques Developing and maintaining SQL and PySpark transformation pipelines Partnering closely with Data Engineers Translating business requirements into clear, well … documented data models YOUR SKILLS AND EXPERIENCE: Advanced SQL, including complex transformations and modelling Databricks PySpark and working within a Lakehouse or modern data platform Dimensional modelling and analytics engineering best practices Communicating effectively with both technical and non-technical stakeholders THE BENEFITS: You will receive ...

Data Analyst plays a critical role in delivering high-quality analytical insight that drives decisions across AJ Bell. The role blends advanced analytics, data modelling, and stakeholder engagement to deliver solutions that are accurate, scalable, and aligned to our strategic data ambitions. The jobholder will support cloud transformation, adoption … Delivery & Technical Excellence Deliver high-quality analytical outputs for senior data leadership. Proactively deep dive and explore challenges to create recommendations Conduct data design, modelling and exploration to support trusted reporting. Perform data discovery to understand new and existing data sources. Produce compelling visualisations and dashboards using Power BI. ...

existing ELT pipelines Skills and Experience: Essential to have 3+ years experience in: SQL Python DBT Cloud techs such as Snowflake, BigQuery or Databricks Dimensional Modelling such as Kimball Desirable to have experience with: CI/CD pipelines Kafka; real-time streaming Snowflake as a data warehouse Interview ...

Design, build and maintain analytics ready data models used across the organization. Develop transformations using dbt on a Snowflake data platform. Apply best practice dimensional modelling to create reliable, well-structured datasets. SKILLS AND EXPERIENCE The successful Analytics Engineer will have the following skills and experience: Strong commercial … experience writing complex SQL for analytics and data modelling. Proven experience designing dimensional data models, ideally using Kimball principles. Hands on experience using dbt for data transformation. Experience working with cloud data warehouses, ideally Snowflake. Comfortable using Python or similar languages for data logic and problem solving. A builder ...

successful Analytics Engineer will have the following skills and experience: Strong commercial experience as an analytics focused engineer, rather than an analyst. Advanced data modelling capability, including dimensional modelling. Strong PySpark and SQL skills in production environments. Hands on experience with Databricks, including pipelines and governed data environments. ...