76 to 100 of 131 Permanent Dimensional Modelling Jobs

Data Engineer develops and maintains the dbt transformation models that turn raw source data into clean, tested, and well-documented datasets. That includes designing dimensional models and data marts that support both reporting and machine learning use cases, and implementing data quality checks and testing standards throughout the transformation ...

Delivery: Experience working in a consultancy, systems integrator, or client-facing setting with direct accountability to project delivery outcomes. Data Modeling: Solid depth in dimensional modeling, NoSQL schemas, and lakehouse/medallion architecture patterns. Data Governance & Operations: Practical experience implementing data catalogues, lineage, access controls, data quality checks ...

Analysts, and Business Stakeholders to translate agreed business definitions into trusted analytical assets that power OMNI, our enterprise analytics platform. Design, build, and maintain dimensional and analytical data models within Snowflake. Develop reusable, business-ready datasets using modern ELT practices. Create and maintain fact and dimension models that support … other relevant reporting solutions. Support the performance, governance, documentation, and ongoing maintenance of context layer and semantic layer components. Contribute to semantic modelling standards and best practices. Assess and manage the impact of business or source system changes on analytical models and reporting assets. Analytics Enablement Deliver curated datasets ...

into practical reporting and analytical solutions. Supporting the development of self‐service analytics. Mentoring BI Developers and providing guidance on Power BI, DAX, data modelling and development standards. Conducting code reviews and quality‐assurance activities. Communicating technical recommendations clearly to both technical and non‐technical stakeholders. What … complex enterprise environment. Expert knowledge of Power BI Desktop and Power BI Service. Advanced experience with DAX, Power Query and SQL. Strong knowledge of dimensional modelling, star‐schema design and semantic models. Experience with Power BI administration, workspace management, dataflows and deployment pipelines. Experience working with cloud ...

datasets, semantic models, dashboards and reports Build ETL/ELT processes using Azure Data Factory and SQL Server Develop data warehouse solutions and dimensional models Translate business requirements into effective technical solutions Analyse data from multiple sources to deliver meaningful insight Apply data quality, governance, testing and documentation standards … dashboards and semantic models Strong SQL and Microsoft data platform experience Experience with Azure Data Factory and SQL Server Knowledge of data warehouses and dimensional modelling Experience translating business requirements into technical solutions Understanding of data quality, governance and testing Strong communication skills with technical and non-technical ...

learning and AI to accelerate change across our industry. This role is an opportunity to apply and develop your expertise in analytics engineering, data modelling and visualisation to build, extend and maintain the analytics and reporting capabilities that are central to decision making across Canopius. You will contribute … reliable and aligned to approved sources. Document solutions clearly, including data sources, logic, refresh schedules, access requirements and support considerations. Follow team standards for modelling conventions, naming, testing, deployment and version control, contributing suggestions for improvement where appropriate. Support the rationalisation and redevelopment of legacy reporting solutions as part ...

data and analytics capabilities. Working within a complex insurance environment, you will define the future-state data architecture, champion best practices in data modelling and governance, and help create a scalable, data-driven foundation for the business. Leveraging your expertise in Snowflake and dbt, you will enable the delivery … from legacy policy, claims, and finance systems to modern cloud data solutions Establish architectural patterns supporting data domains, data products, and reusable assets Data Modelling Skills & Experience Excellent understanding of conceptual, logical, and physical data modelling principles. Experience designing enterprise data models, reporting marts and business specific data ...

partners. Experience required: Strong experience in data engineering, including ETL/ELT, data pipelines and modern cloud data platforms Strong understanding of data warehousing, dimensional modelling, Kimball principles and data architecture Advanced SQL/T-SQL skills, including query development, optimisation and troubleshooting Strong Python, PySpark or similar ...

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 ...

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 ...

Collaborate on CI/CD with Platform (Repos, Git, deployment pipelines, Terraform Jobs/Infrastructure as Code). Analytics Engineering Model curated gold datasets, dimensional models, and semantic layers for BI (Tableau/PowerBI). Optimise SQL Warehouses for performance, concurrency, and cost; maintain versioned metric definitions. Document tables ...

data models and transformation pipelines that support reporting, analytics, and business decision-making. Key Responsibilities: Lead the design and development of curated, analytics-ready dimensional and semantic data models. Build, maintain and optimise complex SQL and PySpark transformation pipelines within Databricks. Define and maintain KPI definitions, conformed dimensions … consistent business logic across data domains. Ensure data quality, integrity, testing, observability and performance across the curated data layer. Lead modelling design reviews and contribute to technical and architectural decisions. Work closely with Data Architects, BI Developers, analysts and business stakeholders to translate requirements into effective data solutions. Establish ...

assumptions, identify opportunities and influence strategic decisions. Key Responsibilities: Lead the design and governance of modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytics ecosystems. Architect cloud-native data platforms—particularly Snowflake—covering performance, workload management, security, access controls, cost governance, multi … client-facing presentations. Deep expertise in modern data architectures, including data warehouses, data lakes, lakehouse platforms and analytics ecosystems. Extensive experience in enterprise and dimensional data modelling, semantic layers, master data strategies and data governance frameworks. Strong understanding of data product thinking and the creation of scalable, reusable ...

data models. The successful candidate will have strong hands‐on Power BI development experience, advanced DAX capability, and a solid understanding of data modelling best practice, including star schema design. You will be comfortable working across Power BI Desktop, Service, and Premium, and ideally bring experience with Microsoft Fabric … filter context and time intelligence. Power Query/M Language – Experience building and maintaining data transformation processes and integrating data from multiple sources. Data Modelling (Star Schema Design) – Good understanding of dimensional modelling principles, including creating efficient and user‐friendly data models. Microsoft Fabric & Direct Lake Mode ...

monitor moderately complex data pipelines and data models in production independently Model finance data across data warehouse layers using Data Vault and Kimball dimensional modelling Write transformations in SQL and Python, orchestrate workflows (Airflow/Dagster), and manage IaC via Git and CI/CD pipelines Connect disparate … strong SQL skills with performance tuning Hands-on experience with Snowflake, AWS, S3 and with Dagster or Airflow Experience with ETL/ELT, Kimball modelling, Git (GitHub/GitLab), and CI/CD Strong data quality mindset and ability to work in Agile environments Excellent written and verbal English ...

writing complex queries and stored procedures Hands-on experience with Power BI, Tableau or a similar BI platform Experience building data models (star schema, dimensional modelling) - desirable Familiarity with ETL tools and processes Experience with Azure Data Factory, SSIS or similar - desirable Strong stakeholder management and communication skills ...

procedures. Preferred Qualifications Google Cloud Professional Data Engineer, Professional Cloud Developer, Associate Cloud Engineer, or another relevant Google Cloud certification. Experience with data modeling, dimensional modeling, ETL or ELT pipelines, data quality controls, metadata, lineage, and enterprise data governance. Experience modernizing legacy reporting applications and validating data, calculations, security ...

Strong expertise in GCP architecture (BigQuery, Dataflow, Pub/Sub, IAM, Composer). Proven experience designing complex, cross-team, enterprise-scale solutions. Advanced data modelling (3NF, Data Vault, dimensional modelling). Deep understanding of metadata, lineage, data governance, and reference data frameworks. Strong experience with finance data ...

prototyping and proof-of-concept builds within Databricks to demonstrate platform capabilities and accelerate client adoption Provide best practice guidance on Lakehouse architecture, data modelling, workload optimisation, and cost management Produce high-quality technical documentation including architecture diagrams, architecture decision records (ADRs), runbooks, and deployment guides Enable client teams … e.g. Terraform preferred) and CI/CD pipelines (e.g. Azure DevOps, GitHub Actions) Solid understanding of data architecture concepts including Lakehouse medallion architecture and dimensional modelling Familiarity with security and governance frameworks (e.g. RBAC, ABAC, data masking, audit, compliance standards) Excellent communication skills with the ability to explain ...

Engineer to join our Data team as one of its first hires. You will own the transformation layer between raw data and business decisions: modelling our data in dbt, defining the certified metrics the company runs on, and setting the standards that every analyst and data scientist at ElevenLabs … builds. Drive the implementation of a world-class metric layer for the company: modelling conventions, project structure, testing, CI, and documentation. Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny. Partner with ...

development, stored procedures, views and performance-aware query design. Experience designing and developing data warehouse models for reporting and analytics. Good understanding of dimensional modelling concepts, including facts, dimensions, grain, keys and relationships. Experience transforming, combining and reconciling data from multiple source systems. Ability to investigate complex ...

scale. Strong hands-on Databricks experience. Experience with Azure data storage technologies (Azure SQL, Data Lakes, Blob Containers). Experience with data transformation and modelling techniques. Thorough understanding and experience with data warehousing concepts and dimensional modelling. Experience with ETL and orchestration tooling (Data Factory, Databricks). Experience ...

Analytics Engineer at Onmo, you will be the day-to-day owner of the business-ready layer of our Databricks lakehouse: the dimensional models, governed metric definitions and self-serve tools that Finance, Credit Risk, Collections and Operations rely on. You will sit between data engineering and the business … turning credit policy and finance rules into trusted, explainable numbers. RESPONSIBILTIES Build and extend our gold-layer dimensional models, including point-in-time and month-end facts. Work with the Data team and business owners to define and maintain governed metric definitions for credit and finance KPIs (arrears ...

business stakeholders to design scalable analytics solutions and AI-ready data architectures. This will include working across data structures, semantic models, metric layers and dimensional modelling. You'll also help establish reusable standards and best practices across analytics, supporting teams to deliver solutions that are scalable, secure, governed … delivering enterprise-scale analytics solutions Excellent SQL skills Strong experience with Power BI Experience working with Microsoft Fabric and Azure Databricks Strong knowledge of dimensional modelling, semantic models and analytics data architecture Experience establishing analytics standards, best practices and reusable technical patterns Ability to combine strategic thinking with ...

other routine healthcare data at patient level Unity Catalog, Delta Lake and medallion structure, bronze to silver to gold Exposure to dbt and dimensional modelling Experience contributing to vendor or partner relationships, such as with Databricks Experience designing for multi-region operations (UK, Middle East, EU) Flexible working ...