1 to 25 of 57 Remote Dimensional Modelling Jobs

the mobile/telecoms industry would be a bonus! Key outputs for the role • Design, build, and maintain scalable and trustworthy data models in dbt, making use of Kimball Dimensional and One Big Table (OBT) methodologies. • Translate business requirements from stakeholders into robust, well-documented and tested dbt models. • Develop and own workflows within Google Cloud Platform environments, primarily … and implement robust, well-documented and performant dbt models that serve as a single source of truth for business reporting. • Implement and champion data quality testing, documentation standards, and modelling best practices within dbt projects. • Troubleshoot and resolve any issues or errors in the data pipelines. • Stay updated with the latest cloud technologies and industry best practices to continuously … be expecting to see: • Expert level proficiency in SQL. • Deep, practical experience of building and architecting data models with dbt. • A strong understanding of data warehousing concepts and data modelling techniques (e.g., Kimball, Dimensional Modelling, One Big Table). • Solid, hands-on experience within the Google Cloud Platform, especially with BigQuery. • Proven experience working directly with business More ❯

critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage for data storage, and GitHub for version control and collaboration. The role will be working in an agile and collaborative environment within a growing and skilled … ADF) and GitHub, for ETL development. • Experience building and maintaining reports using SQL Server Reporting Services (SSRS). • Solid understanding of data warehousing concepts, including star/snowflake schemas, dimensional modelling, and data vault 2.0, and of the principles of ETL technical design • Experience with SQL Server Analysis Services (SSAS) is a plus. • Familiarity with data visualization tools More ❯

Operational, and Finance functions through robust, scalable, and innovative data solutions. In this position, you'll be responsible for designing, building, and optimizing data warehouses using best practices in dimensional modelling, Kimball methodologies, star schema design, and Data Vault principles, ensuring adherence to sound data architecture practices. Based in Avonmouth on a hybrid working basis – 2 days in … Lead optimization efforts in Power BI, leveraging Power BI Premium features such as incremental refresh, paginated reports, and composite models to enhance reporting performance and scalability. DAX and Data Modelling: Write advanced DAX and perform complex data modelling within Power BI to support high-quality, dynamic reporting. Self-Service BI: Empower stakeholders to build their own reports and … optimizing on-premises SQL Server data warehouses, focusing on stored procedures, indexing, partitioning, and load performance. A proven track record in designing and building data warehouses using Kimball methodologies, dimensional modeling, star schema design, and Data Vault techniques is essential. You should be well-versed in applying data architecture principles to create robust, scalable solutions Azure Cloud Proficiency: Deep More ❯

on your location) and home working (expectation is 2 days in the office) Permanent Full time, 37 hours per week Do you have prior experience of Enterprise Data Engineering, dimensional modelling? Do you have experience of working within an Agile environment or are keen to work in one? Do you like to always explore, learn, challenge yourself and … of new team members & coach other Data Engineers Actively contribute to drafting and updating our service policies, procedures, work instructions and guidance notes. As a BI Solution Architect/Dimensional Modeller, design robust, secure and supportable corporate data solutions to meet business requirements following dimensional modelling methodology, considering privacy by design and self-service capabilities by default. … be an Enterprise Data Engineer? Previous strong experience in data engineering ideally using Databricks, Azure Data Factory, Spark, Python, SQL, PowerBI Strong data engineering experience atleast 3-5 years Dimensional data modelling Experience in delivering end to end BI solution from requirements, design to delivery Experience of working within an Agile/Scrum environment Experience/understanding of More ❯

with a few in-person meetings in shared co-working spaces on an ad hoc basis. Role Description We are looking for an SQL Developer (Snowflake), specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI , with a strong focus on building semantic models and supporting analytics. … and translate them into scalable technical solutions. Ensure data quality, consistency, and performance across environments. Monitor and tune Snowflake performance, storage, and compute usage. Implement best practices in data modelling , schema design, and cloud architecture. Collaborate on CI/CD and automation initiatives for data deployments. Maintain technical documentation for processes, pipelines, models, and reports. Skills Required: Proven experience … code, especially within Snowflake stored procedures. Familiarity with modern cloud platforms for data integration, such as Azure Data Factory, Databricks, or similar tools. Experience in Power BI, including data modelling, DAX, and managing semantic models. Good understanding of data warehousing, dimensional modelling, and ELT best practices. Knowledge of version control and Agile development methodologies. Qualifications: Strong experience More ❯

familiarity with version control systems. Understanding of enterprise data architecture patterns, including data lake, data warehouse, lakehouse, and cloud-native designs. Experience with Inmon, Data Vault 2.0, Kimball, and dimensional modelling. Knowledge of integration patterns, ETL/ELT processes, and tools (e.g., Apache Airflow, Azure Data Factory, Informatica, Talend) to orchestrate data workflows. Familiarity with DevOps/MLOps principles More ❯

design and deliver scalable data products that enable self-service analytics using Snowflake, Power BI, Python, and SQL. What You’ll Do: Build robust ETL/ELT pipelines and dimensional models for analytics Enforce data quality, security, and governance in a Data Mesh setup Enable self-service insights through intuitive data models and training Own data products end-to … continuous improvement Promote innovation and best practices across the organisation What We’re Looking For: Strong skills in SQL and Power BI. Python is beneficial Solid experience with data modelling and ETL pipelines Knowledge of cloud environments – Azure Experience with Snowflake and Databricks Familiarity with data governance in decentralised environments Excellent communication and stakeholder engagement skills A proactive, problem More ❯

stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory, Fabric), GCP (BigQuery, Dataflow). Data Modelling & Storage: Relational (PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra), Dimensional modelling. DevOps & Automation: Docker, Kubernetes, Terraform, CI/CD pipelines for data flows. Architectural Competencies Data Modelling: Designing … dimensional, relational, and hierarchical data models. Scalability & Performance: Building fault-tolerant, highly available data architectures. Security & Compliance: Enforcing role-based access control (RBAC), encryption, and auditing. Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral More ❯

including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows. Champion best practices in data modelling, governance, and DevOps for data engineering (CI/CD, IaC). Serve as a key communicator between technical teams and business stakeholders, translating complex data needs into actionable plans. … Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). More ❯

including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows. Champion best practices in data modelling, governance, and DevOps for data engineering (CI/CD, IaC). Serve as a key communicator between technical teams and business stakeholders, translating complex data needs into actionable plans. … Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). More ❯

including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows. Champion best practices in data modelling, governance, and DevOps for data engineering (CI/CD, IaC). Serve as a key communicator between technical teams and business stakeholders, translating complex data needs into actionable plans. … Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). More ❯

and governance initiatives—helping create a reliable, enterprise-grade data foundation. Requirements Proven experience in analytics engineering or advanced BI/data roles with a strong focus on data modelling and transformation Proficiency in SQL and cloud data platforms such as Snowflake or Azure Synapse Analytics Hands-on experience with DBT for developing, testing, and documenting transformations Understanding of … modern data stack principles, including layered modelling, modular SQL, and Git-based workflows Familiarity with dimensional modelling, OBT, activity schemes & data warehouse design principles Strong communication skills, with the ability to translate data into business context A proactive, detail-oriented mindset and a drive to build systems that scale Nice to Have Experience using Azure Data Factory More ❯

including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows. Champion best practices in data modelling, governance, and DevOps for data engineering (CI/CD, IaC). Serve as a key communicator between technical teams and business stakeholders, translating complex data needs into actionable plans. … Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). More ❯

design and deliver scalable data products that enable self-service analytics using Snowflake, Power BI, Python, and SQL. What You’ll Do: Build robust ETL/ELT pipelines and dimensional models for analytics Enforce data quality, security, and governance in a Data Mesh setup Enable self-service insights through intuitive data models and training Own data products end-to … continuous improvement Promote innovation and best practices across the organisation What We’re Looking For: Strong skills in SQL and Power BI. Python is beneficial Solid experience with data modelling and ETL pipelines Knowledge of cloud environments – Azure Experience with Snowflake and Databricks Familiarity with data governance in decentralised environments Excellent communication and stakeholder engagement skills A proactive, problem More ❯

including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows. Champion best practices in data modelling, governance, and DevOps for data engineering (CI/CD, IaC). Serve as a key communicator between technical teams and business stakeholders, translating complex data needs into actionable plans. … Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). More ❯

analysis techniques and data usage and building solutions to enable. Experience Strong technical background and proven ability in data collection, transformation and integration, evidencing understanding of data warehousing and dimensional modelling principles with good understanding of data profiling or analysis. Data modelling. You understand the concepts and principles of data modelling and can produce relevant data models. 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 ❯

Partners, we are expanding our Data Services team, investing in a large-scale modernisation programme to drive innovation and insights. We’re building a new team to enhance data modelling, reporting, AI initiatives, and cloud data platforms like Snowflake. As part of our transformation, we’re growing our analytics capability to help develop the understanding of commercial performance and … critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage for data storage, and GitHub for version control and collaboration. As a Data Engineer, Your Responsibilities Will Include Design, develop, and implement data warehouse solutions using … ADF) and GitHub, for ETL development. Experience building and maintaining reports using SQL Server Reporting Services (SSRS). Solid understanding of data warehousing concepts, including star/snowflake schemas, dimensional modelling, and data vault 2.0, and of the principles of ETL technical design Ability to write efficient and optimized SQL queries for data retrieval and manipulation. Solid understanding More ❯

and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Knowledge More ❯

and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Knowledge More ❯

Private Medical Health Pension Scheme And more... Candidate requirements include experience in: Extensive experience with solutions involving Databricks, Azure Data Factory, Synapse Excellent understanding of Microsoft SQL Server, Data Modelling, Data Marts, Dimensional Modelling Understanding of SQL/database management Strong understanding of the wider Azure stack (ADF, Synapse, ADLS) and Data Modelling tools (ERwin, ER More ❯

Partners, we are expanding our Data Services team, investing in a large-scale modernisation programme to drive innovation and insights. We’re building a new team to enhance data modelling, reporting, AI initiatives, and cloud data platforms like Snowflake. As part of our transformation, we’re growing our analytics capability to help develop the understanding of commercial performance and … critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage for data storage, and GitHub for version control and collaboration. As a Data Engineer, your responsibilities will include: Design, develop, and implement data warehouse solutions using … Partners, we are expanding our Data Services team, investing in a large-scale modernisation programme to drive innovation and insights. We’re building a new team to enhance data modelling, reporting, AI initiatives, and cloud data platforms like Snowflake. As part of our transformation, we’re growing our analytics capability to help develop the understanding of commercial performance and More ❯

Databricks, Azure SQL, and Data Factory. Deep technical knowledge of SQL Server including stored procedures and complex data transformation logic. Proven experience in designing and delivering data warehousing and dimensional modelling solutions. Excellent collaboration skills with a track record of working in Agile teams. Experience with Azure DevOps, GIT, and CI/CD pipelines. Comfortable liaising directly with More ❯

in SQL and Python for data transformation and workflow automation Experience with AWS data tools (e.g. Redshift, Glue, Lambda, S3 ) and infrastructure tools such as Terraform Understanding of data modelling concepts (e.g. dimensional models, star/snowflake schemas) Knowledge of data quality, access controls , and compliance frameworks Nice to Have Experience with orchestration or pipeline frameworks like Airflow More ❯

Databricks, Azure SQL, and Data Factory. Deep technical knowledge of SQL Server including stored procedures and complex data transformation logic. Proven experience in designing and delivering data warehousing and dimensional modelling solutions. Excellent collaboration skills with a track record of working in Agile teams. Experience with Azure DevOps, GIT, and CI/CD pipelines. Comfortable liaising directly with More ❯