26 to 50 of 54 Dimensional Modelling Jobs in the UK

experience. Strong background in System Integration, Application Development, or Data-Warehouse projects across enterprise technologies. Experience with Object-oriented languages (e.g., Python, PySpark) and frameworks. Expertise in relational and dimensional modeling, including big data technologies. Proficiency in Microsoft Azure components like Azure Data Factory, Data Lake, SQL, DataBricks, HD Insights, ML Service. Good knowledge of Python and Spark. Experience More ❯

priorities. • Excellent analytical and problem-solving skills, with attention to detail. • Clear and confident communication skills, both written and verbal. Nice to Have • Understanding of data warehouse architecture and dimensional modeling. • Experience working in the travel or leisure industry is a plus. What we can offer you A changing and multi-cultural team-spirited environment with opportunities to learn More ❯

analytics engineering, data engineering, or a related field. Advanced SQL skills and experience architecting solutions on modern data warehouses (e.g., Snowflake, BigQuery, Redshift). Hands-on experience with advanced modelling techniques in dbt. A deep understanding of ETL/ELT processes and tools (e.g., Fivetran, Airbyte, Stitch). Experience with data visualisation tools (e.g., Mode, Looker, Tableau, Power BI … and designing robust BI semantic layers. Exceptional understanding of data warehousing principles, dimensional modeling, and analytics best practices. Proficiency in Git-based workflows with a strong background in implementing and managing CI/CD pipelines for data transformations. Outstanding communication, collaboration, and stakeholder management skills, with a demonstrated ability to influence and lead cross-functional initiatives. Nice to Have More ❯

be responsible for: Technical Delivery & Leadership : Leading the design and implementation of Oracle Analytics solutions (FDI, OAC, ODI) to meet client requirements. Architecting end-to-end solutions encompassing data modelling, ingestion, transformation, visualization, and predictive modelling. Designing and implementing data pipelines and integrations for diverse data sources. Developing and deploying machine learning models using OML, Oracle Data Science, and … Analytics Cloud (OAC) components, including Data Visualisation, Essbase, Data Preparation, and Data Flows. Proven experience in implementing Oracle Analytics or a similar role. Strong experience in data warehousing concepts, dimensional modelling, and ETL processes. Ability to translate and present technical information to a non-technical audience in a clear, concise, appropriate manner Ability to translate business requirements into … analytical and problem-solving abilities. Oracle certifications in relevant technologies are highly desirable Qualified/Part-Qualified ACA/CIMA/ACCA (or equivalent) is advantageous Experience in Data Modelling Security Clearance or at least eligible to support activities in Public Sector Connect to your business - Technology and Transformation Distinctive thinking, deep expertise, innovation and collaborative working. That's More ❯

They closely collaborate with data scientists, analysts, and software engineers to ensure efficient data processing, storage, and retrieval for business insights and decision-making. From their expertise in data modelling, ETL (Extract, Transform, Load) processes, and big data technologies it becomes possible to develop robust and reliable data solutions. RESPONSIBILITIES Data Pipeline Development: Design, implement, and maintain scalable data … in software engineering a plus. 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 ❯

business Technical skills Cloud data platforms - Azure, AWS, or GCP (Azure preferred) Snowflake - Deep knowledge and hands-on experience Matillion - Expertise in ETL orchestration Data warehousing and advanced analytics Dimensional modelling and data vault methodologies Stakeholder engagement and cross-functional collaboration Flexible hybrid working - 1 day per week onsite in Worcestershire (Tuesday) This is a great opportunity for 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 ❯

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 ❯

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 ❯

performance-optimized transformations at scale. Expertise with modern cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) and experience managing large, distributed data environments. Strong understanding of data architecture and dimensional modeling principles, with a track record of designing enterprise-grade schemas. Proven ability to lead projects through agile software development lifecycles and mentor junior team members. Proficiency with version 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 ❯

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 ❯

on driving warehouse efficiencies and optimisation to reduce complexity and cost Requirements 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 ❯

performance-optimized transformations at scale. Expertise with modern cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) and experience managing large, distributed data environments. Strong understanding of data architecture and dimensional modeling principles, with a track record of designing enterprise-grade schemas. Proven ability to lead projects through agile software development lifecycles and mentor junior team members. Proficiency with version More ❯

platform, ML & analytics. Governance models & data dictionaries adopted org-wide, improving trust. Clear growth and upskilling within the data engineering team. Deep experience in data engineering & architecture (Data Lakes, dimensional models, MySQL/PostgreSQL, MongoDB). Familiar with orchestration, CI/CD for data, and data quality/observability tools. Hands-on leader balancing strategic planning with code/ More ❯

analytics and data warehousing solutions. Expertise in cloud data platforms such as Azure , AWS , or GCP . Strong hands-on experience with Snowflake and Matillion . Deep understanding of dimensional modelling and data vault architecture . Exceptional collaboration skills with the ability to influence and guide stakeholders. A proactive mindset with a passion for continuous improvement and innovation. 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 ❯

the right time. Essentially, to ensure you succeed in this role you're going to need Deep, hands-on experience designing and building data warehouses with strong command of dimensional modeling (e.g., Kimball methodology) Expertise in Google Cloud Platform, especially BigQuery architecture, optimization, and cost management Advanced SQL skills and production-level experience using dbt (or similar tools) to More ❯

aligned with their strategic goals. How youll spend your day Architect and evolve enterprise-wide data models across key domains like Product, Customer, Supply, Finance, and Location Apply Kimball dimensional modelling for consumption layer design and Data Vault methodology for raw and business layer integration Define and maintain data architecture principles, patterns, and standards Collaborate with data platform … teams on governance, quality, lineage, and optimisation Consult with squads on physical data modelling Contribute to metadata and data catalog initiatives to improve discoverability and reuse Support our shift to a Data Product Ownership model, enabling domain-aligned teams What youll bring to this role Proven experience in enterprise data architecture in a complex organisation Expertise in Kimball and … Data Vault 2.0 methodologies Strong grasp of data modelling, metadata, and governance knowledge Hands-on experience with modern data platforms (Databricks, Delta Lake, Unity Catalog, Azure) Ability to define and drive architecture principles, patterns, and best practices Excellent communication and stakeholder management skills Retail industry experience is a bonus but not a deal breaker Perks & Benefits: Discretionary company bonus More ❯

Women in Data We are seeking a highly skilled and experienced Data Architect to join our dynamic team. The ideal candidate will have a strong background in full data modelling life cycle, e.g. design, implement, and maintain complex data models that align with organisational goals and industry standards. This role requires a deep understanding of data architecture, data modelling … and data lineage documentation. Ensure data models comply with organisational policies and regulatory requirements. Optimise data products and their components for performance, scalability, and reliability. Evaluate and recommend data modelling tools and technologies. Stay updated on industry trends and emerging technologies in data architecture. Identify and resolve data inconsistencies, redundancies, and performance issues. Provide technical leadership in addressing complex … ll bring: Education: Bachelors or Masters degree in Computer Science, Information Technology, or a related field. 10+ years of experience in data architecture and modelling. Proven experience in data modelling, data architecture, and data products design. Proven experience and expertise in data modelling standards, techniques (e.g. dimensional model, 3NF, Vault 2.0) Familiarity with both analytical and real More ❯

impact at scale, wed love to hear from you. What you'll do Work with customers daily to transform their existing solutions, spreadsheets, and business problems into sophisticated multi-dimensional models by Understanding business requirements & document them Designing & building the corresponding Pigment applications Training/Co-building with the customer o they are self-sufficient in the solution Participating More ❯

at scale, we'd love to hear from you. What you'll do Work with customers daily to transform their existing solutions, spreadsheets, and business problems into sophisticated multi-dimensional models by Understanding business requirements & document them Designing & building the corresponding Pigment applications Training/Co-building with the customer o they are self-sufficient in the solution Participating More ❯

day per week) Duration: 1 Month Availability: Immediate joiner preferred. Over view of the role- BI Development & Reporting We need BI professionals familiar with OLAP concepts , such as: Dimensional modeling (facts, dimensions, hierarchies) Analytical KPIs and business logic Data modelling best practices Integration & Interoperability * Enable interoperability with third-party tools like Tableau and Amazon QuickSight * Manage secure integrations More ❯