12 of 12 Dimensional Modelling Jobs in the North West

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 ...

their data strategy, advising senior stakeholders and articulating architecture decisions with clarity and confidence. Quality, Standards & Best Practice Create and enforce architectural guidelines, including modelling standards, reference architectures, blueprints and reusable components to ensure consistent delivery quality. Technology Strategy & Continuous Improvement Stay current with emerging data platform technologies, architectural … architectures in large-scale, enterprise or transformation programmes. Proven expertise designing cloud-native data platforms across Azure, GCP or AWS. Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). Experience with modern data transformation approaches — familiarity with DBT and analytics engineering principles ...

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 ...

analysis Create compelling, insight-led storytelling reports for technical and non-technical audiences Liaise with stakeholders to share findings and drive action Data, BI & Modelling Perform data manipulation, mining, validation and transformation across Azure, Snowflake and other data warehouses Design and develop scalable data solutions, pipelines and warehouse structures … Build and maintain Power BI data models using Kimball dimensional modelling (fact/dim tables) Develop advanced Power BI solutions using DAX, Power Query and Row Level Security Create clear, engaging and innovative visualisations that enable insight-led decision making Implement governance, access controls and data quality assurance ...

support excellent customer service, and help deliver our vision of Improving People’s Lives. What You’ll Do: Power BI; Coding DAX Measures and Dimensional Models. Developing & delivering visually compelling Power BI Dashboards & Reports to specification. Delivering data engineering solutions with Microsoft Fabric, SQL and Python. Developing & maintaining ...

thinking to solvereal businessproblems, support excellent customer service, and help deliver our vision of Improving Peoples Lives. WhatYoullDo: Power BI;Coding DAX Measures and Dimensional Models. Developing & delivering visually compelling Power BI Dashboards & Reports to specification. Delivering data engineeringsolutions with Microsoft Fabric,SQLand Python. Developing & maintaining ETL pipeline solutions ...

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 ...

PySpark, Spark SQL beneficial). Experience working with structured/unstructured data, delta lake patterns, partitioning, and scalable pipeline design. Strong understanding of data modelling, including Kimball dimensional modelling. Awareness of data governance, privacy, security, and compliance. Experience with Git for version control and collaborative deployment workflows. Excellent ...

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. ...