51 to 75 of 114 Dimensional Modelling Jobs

Mastery: Deep experience with data orchestration tooling such as dbt or dataform.Platform Specifics: Hands-on experience with Databricks.Modeling Expertise: Practical knowledge of Kimball’s dimensional modeling. Here at Kaluza we have five core values that guide our business: Play to win, Solve the real problem, Build trust every ...

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/ ...

What you'll be doing Design, develop and maintain high-quality Power BI dashboards and reports. Translate business requirements into scalable reporting and data modelling solutions. Develop robust semantic models using star schema principles. Build complex DAX measures, KPIs and Power Query transformations. Optimise report performance, datasets and refresh … Extensive commercial experience with Microsoft Power BI (Desktop & Service). Advanced DAX, Power Query (M) and SQL (T-SQL preferred). Strong understanding of dimensional modelling and star schema design. Experience developing high-performance enterprise reporting solutions. Strong understanding of ETL processes and data warehousing concepts. Experience integrating ...

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 ...

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 ...

testing tools Python or PySpark GitLab/Azure DevOps pipelines Experience validating large-scale datasets and data transformations Knowledge of data warehousing concepts and dimensional modeling Understanding of Delta Lake, Parquet, and Lakehouse architectures Experience with CI/CD and automated deployment validation Familiarity with Agile/Scrum delivery ...

large-scale Azure data transformation programme. You'll play a key role in shaping a modern Data Lakehouse environment, driving best practice in data modelling, governance, and analytics while working closely with senior stakeholders across the business. The Company This organisation is a well-established UK professional services business … focused on improving data visibility, strengthening governance, and enabling more advanced analytics across the business. The Role You will lead data architecture and modelling across a modern cloud platform, ensuring data is structured, governed, and accessible for reporting and analytics.Responsibilities include: Designing enterprise-wide data models within a Medallion ...

Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies ...

team if you have the following skills, knowledge and experienceStrong SQL skills and experience building analytical data models in a production environmentData modelling approaches such as dimensional modelling, star schemas, metric layers or similarWorking with dbt or similar transformation and orchestration toolsBuilding semantic models or reusable business … agents consume structured data, metric definitions and business contextExperience working with data contracts, medallion-style architecture or silver-to-gold data modelling patternsWhat success looks likeSuccess in this role is about helping the business trust and use data with confidence.You’ll create reliable analytical models, clear metric definitions ...

+ benefits This is a rare opportunity to join an organisation undertaking a major data and digital transformation, with a clear path from data modelling into data architecture. You will step into a role designed for long-term growth, working closely with senior architects and influencing how data … support key business initiatives Contribute to the design and evolution of data architecture standards and best practices Work across multiple projects, ensuring consistency in modelling approaches and data structures Collaborate with data engineers, analysts, and governance teams to deliver high-quality data solutions Support the transition towards modern, cloud ...

+ benefits This is a rare opportunity to join an organisation undertaking a major data and digital transformation, with a clear path from data modelling into data architecture. You will step into a role designed for long-term growth, working closely with senior architects and influencing how data … support key business initiatives Contribute to the design and evolution of data architecture standards and best practices Work across multiple projects, ensuring consistency in modelling approaches and data structures Collaborate with data engineers, analysts, and governance teams to deliver high-quality data solutions Support the transition towards modern, cloud ...

What They're Looking For: Consultancy or professional services background, juggling several clients at once Data governance (definitions, lineage, quality, ownership, access control) Data modelling, with a track record of building a single source of truth across messy, multi-source data Azure, Databricks and Microsoft Fabric (working in them … senior level What You'll Work With: Azure Data Factory and Azure Synapse Analytics Microsoft Purview (or a comparable cataloguing and lineage tool) Dimensional modelling, Data Vault, warehouse and lakehouse architecture ETL and data pipeline design and build CoPilot, Claude and OpenAI in day-to-day delivery Nice ...

platform reliability and supportability.Collaborate with engineers, analysts and stakeholders to deliver practical solutions.Essential SkillsStrong SQL and Snowflake experience.Data engineering and ETL/ELT development.Dimensional modelling (Kimball methodology).dbt development and engineering best practices.Azure Data Factory, Azure Functions and CI/CD.Python development for automation and data processing.Azure DevOps ...

transformation processes. Key Responsibilities Analyse existing datasets and data structures to help prioritise, design and implement the enterprise data platform. Design and implement dimensional data models within Snowflake to support enterprise reporting and analytics. Build and maintain production-grade data transformation workflows using robust development, testing, version control … client data. Contribute to data engineering standards, naming conventions, development practices and CI/CD processes. Support data analysis, data architecture and enterprise data modelling activities across existing and new data platforms. Work closely with technical and business stakeholders to understand requirements and translate them into effective data solutions. ...

strategies for products, customers, suppliers, and stores, establishing authoritative sources and harmonization patterns across systems together with master data responsible.Establishing data quality measures and modelling standards embedded in architectural patterns: operational schemas in bronze, conformed and dimensional entities in silver, and consumption-ready models in gold.Reviewing key physical … implementation, ensuring consistent understanding across technical and business stakeholders.Mentoring teams on data architectural best practices while documenting anti-patterns to avoid common pitfalls in dimensional modelling and naming standards.The successful candidateProven experience designing enterprise-scale information architectures (multi-source, multi-domain at scale) that successfully went into production.Domain ...

products, customers, suppliers, and stores, establishing authoritative sources and harmonization patterns across systems together with master data responsible. Establishing data quality measures and modelling standards embedded in architectural patterns: operational schemas in bronze, conformed and dimensional entities in silver, and consumption-ready models in gold. Reviewing key physical … ensuring consistent understanding across technical and business stakeholders. Mentoring teams on data architectural best practices while documenting anti-patterns to avoid common pitfalls in dimensional modelling and naming standards. Qualifications Proven experience designing enterprise-scale information architectures (multi-source, multi-domain at scale) that successfully went into production. ...

security for big‐data systems including IAM, encryption, and cluster‐level controls. Basic understanding of monitoring and alerting for distributed systems. Knowledge of dimensional modelling (star, snowflake, normalized/denormalized). Awareness of data governance, cataloguing and lineage tools. At HCLTech, you'll supercharge your potential. ...

BI.* Advanced SQL skills, including complex query writing, optimisation, and working with large datasets.* Solid understanding of data warehousing principles, ETL/ELT processes, dimensional modelling, and data transformation.* Experience working with ETL/ELT tools such as Azure Data Factory, SSIS, or similar technologies.* Experience delivering ...

Spark, SQL, and PythonExperience developing and optimizing batch and real-time data processing solutionsStrong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional modelling, and data product design principlesExperience implementing Infrastructure as Code using tools such as Terraform or CloudFormationExperience leading technical delivery teams and mentoring ...

Spark, SQL, and PythonExperience developing and optimizing batch and real-time data processing solutionsStrong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional modelling, and data product design principlesExperience implementing Infrastructure as Code using tools such as Terraform or CloudFormationExperience leading technical delivery teams and mentoring ...

work at a successful electronics distributor Previous experience as a data analyst Data Analyst Experience translating business problems into analytical solutions Experience of data modelling principles, including dimensional modelling, relational databases and business logic design. Data Analyst PowerBI for data visualisation and dashboard creation SQL for data ...

distributor Previous experience as a data analyst - please do not apply otherwise Data Analyst Experience translating business problems into analytical solutions Experience of data modelling principles, including dimensional modelling, relational databases and business logic design. Advanced Excel skills Data Analyst PowerBI for data visualisation and dashboard creation ...

. Extensive SQL development and performance tuning expertise. Experience building and supporting ETL/ELT frameworks. Strong understanding of data warehousing concepts and dimensional modelling. AWS experience, including services such as S3, Glue, EMR, or PySpark . Knowledge of data governance, quality controls, and testing practices. Experience working within ...

inception to delivery Core Data Engineering Principles: Solid foundational knowledge of relational databases, data warehousing concepts, ETL/ELT processes, and data modeling (e.g., dimensional modeling). Strong SQL Skills: Proficiency in writing, optimizing, and debugging complex SQL queries. Tech Curiosity: An innovative, exploratory mindset with an interest ...

experience with DBT, building and maintaining modular, scalable data models that follow best practices Previous experience working on Data Quality engagements Strong understanding of dimensional modelling Strong understanding of Data Quality and how it is measured Desireable: Experience writing complex validation logic using tools like Great Expectations ...