1 to 25 of 29 Dimensional Modelling Jobs in the UK

with Power BI is an essential requirement for this role SQL and Excel experience is essential to support the running of Internal and external reporting Knowledge and experience of dimensional modelling, creating new, interactive and engaging reports based on stakeholder requirements Knowledge and use in at least one analytical programming language (Python (preferred), R or Julia) this is … desirable Knowledge and experience of dimensional modelling with the ability to optimise workflows and analysis for map reduce processing Please contact John here at ISR to learn more about our exciting client based in Exeter, Devon and their ongoing growth plans More ❯

Hands-on expertise in Azure ecosystem, including components like Azure Data Factory, Azure Data Lake Storage, Azure, SQL, Azure DataBricks, HD Insights, ML Service etc. Expertise in relational and dimensional modelling, including big data technologies. Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus. In terms of business responsibilities - Client Engagement & Business Growth with … Hands-on expertise in Azure ecosystem, including components like Azure Data Factory, Azure Data Lake Storage, Azure, SQL, Azure DataBricks, HD Insights, ML Service etc. Expertise in relational and dimensional modelling, including big data technologies. Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus. Nice to have: Client Engagement & Business Growth with a heavy More ❯

the design and implementation of the data architecture for our cutting-edge Azure Databricks platform focused on economic data. This platform is crucial for our Monetary Analysis, Forecasting, and Modelling efforts. The Data Architect will be responsible for defining the overall data strategy, data models, data governance framework, and data integration patterns. This role requires a deep understanding of … themes. Define the target data architecture and roadmap, considering scalability, performance, security, and cost-effectiveness. Stay abreast of industry trends and emerging technologies in data management and analytics. Data Modelling & Design: Design and implement logical and physical data models that support the analytical and modelling requirements of the platform. Define data dictionaries, data lineage, and metadata management processes. … e.g., APIs, databases, financial data providers). Work closely with data engineers to implement and optimise data pipelines within the Azure Databricks environment. Ensure data is readily available for modelling runtimes (Python, R, MATLAB). Data Governance & Quality: Establish and enforce data governance policies, standards, and procedures. Define data quality metrics and implement data quality monitoring processes. Ensure compliance More ❯

of a modern Data platform solution to handle large and complex data sets. Key tasks: Design Data Lake and Data Warehouse solutions Design Data Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known More ❯

Define scalable data models and implement architectural patterns such as lakehouse and medallion Lead technical solution design during client engagements, from discovery to delivery Establish and enforce data governance, modelling, and lifecycle standards Support engineering and DevOps teams with guidance on best practices, CI/CD, and infrastructure-as-code Requirements 7+ years in data architecture or senior engineering … roles Strong hands-on experience with Azure Databricks and Azure Data Factory Proficient in SQL, Python , and Spark Expertise in data modelling and architectural patterns for analytics (e.g., lakehouse, medallion, dimensional modelling) Solid understanding of cloud security, private networking, GDPR, and PII compliance Excellent communication skills with a strong consulting mindset Desirable Experience with Microsoft Purview, Power More ❯

Define scalable data models and implement architectural patterns such as lakehouse and medallion Lead technical solution design during client engagements, from discovery to delivery Establish and enforce data governance, modelling, and lifecycle standards Support engineering and DevOps teams with guidance on best practices, CI/CD, and infrastructure-as-code Requirements 7+ years in data architecture or senior engineering … roles Strong hands-on experience with Azure Databricks and Azure Data Factory Proficient in SQL, Python , and Spark Expertise in data modelling and architectural patterns for analytics (e.g., lakehouse, medallion, dimensional modelling) Solid understanding of cloud security, private networking, GDPR, and PII compliance Excellent communication skills with a strong consulting mindset Desirable Experience with Microsoft Purview, Power More ❯

and maintaining data pipelines using modern, cloud-based tools and practices Proficiency in Python and SQL for data engineering tasks Experience with DBT and a good understanding of data modelling approaches (e.g. star schema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure … a better way for us to communicate, please do let us know. Data, Database, Engineer, Lead, Manager, Data Science, Data Architect, Business Intelligence, Python, SQL, DBT, Data Model, Data Modelling, AWS, Security Check, Sc Level, Sc Cleared, Sc Clearance, Security Cleared, Security Clearance, Security Vetting Clearance, Active SC, SC Vetted, Cleared To A High Government Standard, Dv Cleared, Dv More ❯

and migration strategies Maintain enterprise data models, metadata repositories, and data lineage documentation Optimise data products for performance, scalability, and reliability Skills & Experience: 10+ years in data architecture and modelling Expertise in dimensional modelling, 3NF, and Data Vault 2.0 Experience with real-time/streaming data solutions Proficiency in Python, SQL, and data modelling tools (e.g. … services (Lambda, SNS, S3, EKS, API Gateway) Familiarity with Snowflake, Spark, Airflow, DBT, and data governance frameworks Preferred: Certifications in cloud/data technologies Experience with API/interface modelling and CI/CD (e.g. GitHub Actions) Knowledge of Atlan and iceberg tables Reference: AMC/SCU/SDA/3007 Postcode: SW1 #secu More ❯

Snowflake, Power BI, Python, and SQL. Your work will enable self-service analytics and support data governance across the business. Key Responsibilities: Develop robust ETL/ELT pipelines and dimensional models for BI tools Define and implement data quality, ownership, and security standards Empower business teams with intuitive, self-serve data models Own data products end-to-end, from … design to continuous improvement Promote innovation and best practices in data engineering About You: Strong experience with SQL, Python, and BI tools (e.g., Power BI) Solid understanding of dimensional modelling and data architecture Experience working in governed, decentralised data environments Excellent communication and stakeholder engagement skills Analytical mindset with a focus on delivering business value If you are More ❯

and maintaining data pipelines using modern, cloud- based tools and practices Proficiency in Python and SQL for data engineering tasks Experience with dbt and a good understanding of data modelling approaches (e.g. star schema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure 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 ❯

VAR, CE/PE & PFE. · Experience working with large scale, multi-terabyte data warehouses including performance tuning, query optimization and execution plan analysis · Advanced knowledge of data warehousing principles, dimensional modelling and star schema design · Hands-on experience with SQL Server and Snowflake, including their architecture, features and best practices · Familiarity with data integration tools (SSIS, ADF) and … cyber security best practices · Effective communicator that is able to build and maintain relationships with senior stakeholders · Strong analytical and problem solving capabilities Preferred · Experience with data transformation and modelling · Familiarity with Agile methodologies and DevOps practices Job Title: Head Of Risk Location: London, UK Rate/Salary: 700.00 - 1100.00 GBP Daily Job Type: Contract Trading as TEKsystems. Allegis More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯