9 of 9 Permanent Dimensional Modelling Jobs in London

valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools More ❯

valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools More ❯

into a management Very strong technical skills that will include - SQL, SSIS, SSRS, SAS - Power BI, Power Platform - Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering tools and automation More ❯

team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering tools and automation More ❯

them with robust data pipelines. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures More ❯

quality dimensions and integrate metrics with centralized tools that measure data products' quality and reliability in the organization Qualifications Understanding of data engineering (including SQL, Python, Data Warehousing, ETL, Dimensional Modelling, Analytics) Understanding of cloud data infrastructure elements, and ideally AWS (Redshift, Glue, Athena, S3) and understanding of existing governance frameworks of data quality and their dimensions (DAMA More ❯

data quality dimensions and integratemetrics with centralized tools that measure data products quality and reliability in the organization Qualifications Understanding of data engineering (including SQL , Python , Data Warehousing , ETL , Dimensional Modelling , Analytics ) Understanding of cloud data infrastructure elements, and ideally AWS (Redshift, Glue, Athena, S3) and understanding of existing governance frameworks of data quality and their dimensions (DAMA More ❯

to deliver scalable, modern data solutions. What You’ll Do Lead the technical design and delivery of the organisation’s analytic data platform Define and own data architecture principles, modelling standards, and governance practices Collaborate with architects, product owners, and external partners to shape scalable data solutions Manage and mentor a high-performing team of Data Engineers Support integration … strategic planning What You’ll Bring Proven experience designing and architecting complex, high-volume data systems Strong hands-on knowledge of cloud platforms (AWS preferred), Snowflake, DBT, and data modelling tools Experience with data integration, ETL, and API-based data exchange Familiarity with Data Vault, dimensional modelling, and master data management Excellent communication skills and ability to More ❯

stakeholders throughout complex projects involving data collection, linkage, and analysis and process automation. Navigating and resolving technical and governance challenges to enable more effective and secure data sharing. Build dimensional data models and tools that empower analysts and decision-makers. Support analysts with software development practices using R, Python, SQL, and Git. Lead on data integration, quality assurance, and … Analysts from Base and Enterprise layers provided by other Data Professionals, linking across datasets while tackling data quality gaps Proactive and responsive development and maintenance of flexible, quality-assured, dimensional models for use by analysts, ensuring dimensions are conformed wherever possible Developing tools to collect, store and present data, metadata, and documentation that enable people to gather and apply … or postgraduate qualification in a relevant field such as data analysis, data science, or computer science, or equivalent professional experience (3+ years) Experience Essential Strong knowledge of SQL, data modelling, and the use of Denodo or similar data virtualisation and integration software to support Reproducible Analytical Pipelines and ETL/ELT processes Experience in data governance, particularly within the More ❯