1 to 25 of 26 Remote Dimensional Modelling Jobs

processes and reduce reliance on spreadsheets and legacy tools. Collaborate with stakeholders to define reporting needs, translating complex requirements into actionable technical specifications. Provide expert guidance on data architecture, modelling, and analytics approaches. Contribute to policies on data governance and promote best practices across the organisation. Mentor junior BI developers and train stakeholders in the effective use of BI … skills and experience: Significant expertise in Power BI for data visualisation and reporting. Hands-on experience with Azure services (Azure Data Factory, Azure SQL Server). Strong understanding of dimensional modelling (e.g., Kimball methodology). Proficiency in sourcing, manipulating, and interpreting complex datasets. Strong analytical mindset with excellent attention to detail and accuracy. Experience managing stakeholders, gathering business More ❯

delivering enterprise-level solutions. Essential Skills: 5 years' experience in Data Engineering. Strong expertise in Databricks, Azure Data Factory, Azure SQL, and Azure Synapse/DW. Solid understanding of dimensional modelling (Kimball, Star Schema) and EDW solutions. Experience working with structured and unstructured data. Familiarity with cloud and DevOps practices - ie Azure, CI/CD pipelines, scaling, cost More ❯

valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools More ❯

valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools More ❯

in an Agile environment. Expert data reporting and visualisation using Power BI & strong Power Query and DAX skills. Experience of working with large data sets in an enterprise environment. Dimensional model design and implementation. Experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Tools and techniques for ensuring data quality, security, validation More ❯

loading processes and pipelines from various sources including databases, APIs, and data files Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a variety of platforms Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams Provide operational support and incident management for data pipelines and data More ❯

loading processes and pipelines from various sources including databases, APIs, and data files Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a variety of platforms Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams Provide operational support and incident management for data pipelines and data More ❯

loading processes and pipelines from various sources including databases, APIs, and data files Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a variety of platforms Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams Provide operational support and incident management for data pipelines and data More ❯

loading processes and pipelines from various sources including databases, APIs, and data files Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a variety of platforms Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams Provide operational support and incident management for data pipelines and data More ❯

loading processes and pipelines from various sources including databases, APIs, and data files Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a variety of platforms Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams Provide operational support and incident management for data pipelines and data More ❯

loading processes and pipelines from various sources including databases, APIs, and data files Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a variety of platforms Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams Provide operational support and incident management for data pipelines and data More ❯

loading processes and pipelines from various sources including databases, APIs, and data files Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a variety of platforms Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams Provide operational support and incident management for data pipelines and data More ❯

loading processes and pipelines from various sources including databases, APIs, and data files Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a variety of platforms Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams Provide operational support and incident management for data pipelines and data More ❯

a team of data engineers, analytics engineers, data scientists and AI specialists to design and evolve scalable data platforms and modern data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance business. What you’ll do: Design and manage scalable cloud data platforms (Databricks on AWS) across development, staging, and production environments … ensuring reliable performance and cost efficiency. Integrate and model data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics. Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment. Ensure security … to architectural decisions, authoring ADRs, and participating in reviews, data councils, and platform enablement initiatives. Qualifications What we’d love you to bring: Proven, hands-on expertise in data modelling, with a strong track record of designing and implementing complex dimensional models, star and snowflake schemas, and enterprise-wide canonical data models Proficiency in converting intricate insurance business More ❯

into a management Very strong technical skills that will include - SQL, SSIS, SSRS, SAS - Power BI, Power Platform - Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering tools and automation More ❯

team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering tools and automation More ❯

practices Experience building and maintaining high-volume data pipelines Knowledge of data modeling and ETL best practices Familiarity with SQL and NoSQL databases Understanding of data warehouse concepts and dimensional modeling Bachelor's degree in Computer Science, Engineering, or related technical field DUTIES: As a Data Engineer, you will: Design and implement scalable, production-grade data pipelines. Optimize existing More ❯

in a regulated environment (ideally financial services) Expertise in SQL, SSIS, SSAS, SSRS, etc Expertise with data pipelines and integrations ( ETL/ELT) A good understanding of data warehousing, dimensional modelling, data normalisation, etc Knowledge of data manipulation languages (T-SQL, DAX) Agile (ideally Kanban) Power BI Knowledge of scripting languages and cloud technologies is an advantage however More ❯

PowerBI/Tableau developer, with a solid track record in delivering complex solutions. They will be proficient in desktop and cloud, with expert level experience in calculated metrics, data modelling, and optimising reports. You will Lead the design and development of visualisation dashboards that meet complex data requirements and present information in a clear and concise manner Drive data … design with business users Ability to perform data blending, data aggregation and complex calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares More ❯

existing plans to streamline reporting and automate data workflows. What you'll do: Collaborate with the analytics and engineering teams to set up a data warehouse using modern data modelling techniques, focusing on Kimball methodology and a Medallion architecture (bronze, silver, gold layers). Develop and maintain DBT projects and configure incremental loads with built-in unit testing. Support … with star schema design to power business reporting and dashboards (PowerBI experience a plus). Skills & Experience: Strong SQL expertise and hands-on experience with DBT. Familiarity with Kimball dimensional modelling concepts. Experience working with cloud data warehouses such as Redshift or Snowflake. Knowledge of Airflow for workflow management. Comfortable in AWS environments and data orchestration. Bonus: Python 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 ❯

at enterprise level or in large-scale delivery. Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be … Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core More ❯

to deliver scalable, modern data solutions. What You’ll Do Lead the technical design and delivery of the organisation’s analytic data platform Define and own data architecture principles, modelling standards, and governance practices Collaborate with architects, product owners, and external partners to shape scalable data solutions Manage and mentor a high-performing team of Data Engineers Support integration … strategic planning What You’ll Bring Proven experience designing and architecting complex, high-volume data systems Strong hands-on knowledge of cloud platforms (AWS preferred), Snowflake, DBT, and data modelling tools Experience with data integration, ETL, and API-based data exchange Familiarity with Data Vault, dimensional modelling, and master data management Excellent communication skills and ability to More ❯

mentor colleagues, promoting best practice and continuous improvement. Skills & Experience Strong knowledge of SAP Data Services and data warehousing best practices. Experience designing data marts/warehouses using Kimball dimensional modelling . Proficiency in ETL design, SQL development (Microsoft SQL Server; Oracle a plus). Background working in multi-developer teams with code branching/merging and promotion More ❯

mentor colleagues, promoting best practice and continuous improvement. Skills & Experience Strong knowledge of SAP Data Services and data warehousing best practices. Experience designing data marts/warehouses using Kimball dimensional modelling . Proficiency in ETL design, SQL development (Microsoft SQL Server; Oracle a plus). Background working in multi-developer teams with code branching/merging and promotion More ❯