8 of 8 Dimensional Modelling Jobs in the North West

delivering enterprise-level solutions. Essential Skills: 5+ years' experience in Data Engineering. Strong expertise in Databricks, Azure Data Factory, Azure SQL, and Azure Synapse/DW. Solid understanding of dimensional modelling (Kimball, Star Schema) and EDW solutions. Experience working with structured and unstructured data. Familiarity with cloud and DevOps practices - ie Azure, CI/CD pipelines, scaling, cost More ❯

with finance/financial systems and concepts Azure Databricks Azure Data Factory Excellent SQL skills Good Python/Spark/pyspark skills Experience of Kimball Methodology and star schemas (dimensional model). Experience of working with enterprise data warehouse solutions. Experience of working with structured and unstructured data Experience of a retail environment preferred A good understanding of cloud More ❯

Type: Permanent Key Responsibilities Build and maintain Snowflake-based data platforms. Collaborate with product owners and stakeholders to gather requirements and deliver scalable solutions. Ensure best practices in data modelling, governance, and architecture are applied across projects. Essential Skills Strong knowledge of cloud computing and Snowflake architecture. Proficient in SQL (ANSI-SQL). Solid experience with data models: Dimensional … Background in investment banking or financial services. Familiarity with Power BI and statistics. Ability to support multiple concurrent projects. Tech Stack: Snowflake, ANSI-SQL, Python, GitLab, Snowpark, Cloud Platforms, Dimensional Modelling This is a great opportunity to join a well-established consultancy and work on advanced cloud data solutions in the financial sector. Randstad Technologies Ltd is a More ❯

Type: Permanent Key Responsibilities Build and maintain Snowflake-based data platforms. Collaborate with product owners and stakeholders to gather requirements and deliver scalable solutions. Ensure best practices in data modelling, governance, and architecture are applied across projects. Essential Skills Strong knowledge of cloud computing and Snowflake architecture. Proficient in SQL (ANSI-SQL). Solid experience with data models: Dimensional … Background in investment banking or financial services. Familiarity with Power BI and statistics. Ability to support multiple concurrent projects. Tech Stack: Snowflake, ANSI-SQL, Python, GitLab, Snowpark, Cloud Platforms, Dimensional Modelling This is a great opportunity to join a well-established consultancy and work on advanced cloud data solutions in the financial sector. Randstad Technologies Ltd is a More ❯

work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Translate data requirements from across the organisation into robust and reusable data models, modelling both within the data warehouse and exposing via Looker, with a particular focus on Customer Data Draw insights and use appropriate analytical methods to analyse large datasets to identify … with SQL Experience with Python Strong experience with Looker or a Similar Business Intelligence (BI) Tool Good understanding and experience of DBT and applying data architecture principles such as dimensional modelling, to translate raw data into a structured format, or a willingness to learn Self-starter with the ability to think outside the box and evolve projects. Take More ❯

focus on driving warehouse efficiencies and optimisation to reduce complexity and cost Strong experience with SQL Strong understanding and experience of DBT and applying data architecture principles such as dimensional modelling, to translate raw data into a structured format Strong experience with Looker or a Similar Business Intelligence (BI) Tool Self-starter with the ability to think outside More ❯

phased implementation roadmaps Significant experience (and ideally certified) in Snowflake and acted as lead data architect on at least two Snowflake implementations. Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh. Understanding data management and governance concepts such as data quality, metadata management, etc. Experience in designing data engineering solutions using open source and More ❯

while evolving our data engineering tools, processes, and standards. Working with both structured and unstructured data to meet diverse business needs. Implementing Kimball methodology and Star Schema design for dimensional modelling. Supporting and enhancing Enterprise Data Warehouse solutions . Leveraging knowledge of emerging technologies to solve modern business challenges. Championing cloud technology best practices including CI/CD, cost … Need 5+ years' experience in a Data Engineering function. Strong background with Databricks, Data Factory, Azure SQL, Azure SQL DW . Hands-on experience with Enterprise Data Warehouses and dimensional modelling. Familiarity with structured and unstructured data handling. Google Analytics data experience (preferred). Experience in a retail environment (preferred). Deep understanding of cloud technologies and DevOps practices. More ❯