51 to 75 of 106 Permanent Dimensional Modelling Jobs

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 ...

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 ...

queriesHands on experience with DBT, building and maintaining modular, scalable data models that follow best practicesPrevious experience working on Data Quality engagementsStrong understanding of dimensional modellingStrong understanding of Data Quality and how it is measuredDesireable: Experience writing complex validation logic using tools like Great Expectations, dbt tests, Elementary, Soda ...

Code Developing reusable Gold Layer assets and analytics-ready datasets for enterprise consumption Building and maintaining data pipelines and transformation frameworks using dbt Designing dimensional data models and Star Schema structures Contributing to a rapidly evolving Data & AI capability What We're Looking For Essential Experience Excellent commercial experience … with Snowflake Experience delivering data solutions within Wealth Management, Asset Management, Investment Management or Financial Services environments Excellent understanding of Star Schema/dimensional modelling Strong experience with dbt Strong SQL and data engineering capability Strong data quality, lineage and governance experience Exposure to market data platforms ...

ROLE Build and maintain data ingestion pipelines using Azure Data Factory (ADF) Develop and support data warehousing solutions within Snowflake Design and optimise dimensional data models for reporting and analytics Support the migration and development of solutions within Microsoft Fabric Work closely with analysts and stakeholders to deliver high … Data Engineering role Experience building and maintaining ETL/ELT pipelines Strong experience with Azure Data Factory (ADF) Understanding of data warehousing concepts and dimensional modelling Strong SQL skills and experience working in cloud-based data environments Experience with Snowflake, Microsoft Fabric or Databricks would be advantageous SALARY ...

enterprise data and AI architecture.Strong cloud platform data and AI architecture and platform capability, skills and qualifications.Deep understanding of AI and semantic and dimensional modelling patterns and how they fit into enterprise architecture.AI/ML platform requirements.Effective communicator with strong influencing, negotiating, and relationship building skills. Ability … reference designs and technical assurance processes.In depth knowledge and practical implementation of compliance frameworks and global employment regulations.Knowledge of global data and AI standardization, modelling and reporting frameworks for harmonizing data definitions, taxonomies, and formats across regions.It is mandatory that you have proven experience in data architecture/engineering ...

enterprise data and AI architecture.Strong cloud platform data and AI architecture and platform capability, skills and qualifications.Deep understanding of AI and semantic and dimensional modelling patterns and how they fit into enterprise architecture.AI/ML platform requirements.Effective communicator with strong influencing, negotiating, and relationship building skills. Ability … reference designs and technical assurance processes.In depth knowledge and practical implementation of compliance frameworks and global employment regulations.Knowledge of global data and AI standardization, modelling and reporting frameworks for harmonizing data definitions, taxonomies, and formats across regions.It is mandatory that you have proven experience in data architecture/engineering ...

deliver consistently, securely and at scale. A strong technical practitioner with advanced skills in DAX, SQL and Python, combined with deep expertise in dimensional modelling and analytics data architecture design.What's in it for youBeing a part of M&S is exactly that – playing your part to bring ...