1 to 25 of 43 Dimensional Modelling Jobs

GraphQL APIs using Azure Data Factory and metadata-driven patterns. Apply data quality and validation rules using Lakeflow Declarative Pipelines expectations. Curated Layers & Data Modelling Develop clean and conforming Silver & Gold layers aligned to enterprise subject areas. Contribute to dimensional modelling (star schemas), harmonisation logic, SCDs … . Strong PySpark and Spark SQL skills within distributed compute environments. Experience working in a Lakehouse/Medallion architecture with Delta Lake. Understanding of dimensional modelling (Kimball), including SCD Type 1/2. Exposure to operational concepts such as monitoring, retries, idempotency and backfills. Mindset Good energy ...

scalability. Validate ETL processes, including during source system software upgrades, to ensure continuity and data integrity. Design and maintain the reporting layer, including dimensional modelling, to support efficient and reusable analytics. Apply expert T-SQL and SQL Server skills for query optimisation and advanced data manipulation. Support … processes that embed data quality monitoring within routine reporting and governance structures. Contribute to the implementation of advanced analytics methods such as predictive analytics, modelling including AI, Python, and R, to help drive innovation. The postholder will be line managed by the Principal BI Developer and will work closely ...

capture data requirements.Support the design and oversight of the data infrastructure and technical environments.Ensure architecture compliance, documentation standards, and technical integrity.Skills & ExperienceExpertise in dimensional modelling and strong understanding of Third Normal Form data models.Demonstrated experience across conceptual, logical, and physical data architectures.Familiarity with data integration, ETL, and data … months agoGreater London, England, United Kingdom 1 week agoIlford, England, United Kingdom 1 month agoIsleworth, England, United Kingdom 6 days agoData Architect - Data Modelling - Dimensional - Relational - Data VaultLondon, England, United Kingdom 3 days agoBig Data Architect (Open source contributor)City Of London, England, United Kingdom £90,000.00 ...

Data Warehouse Engineer, or similar. Strong hands-on knowledge of Microsoft Fabric and related services. End-to-end DWH development knowledge, from ingestion to modelling and consumption. Strong background in data modelling, including star schema, dimensional modelling and semantic modelling. Ability to orchestrate, monitoring and optimise ...

engineering standards, own key architectural decisions, and deliver scalable, reliable pipelines and models. You will: Lead the technical strategy for data engineering across ingestion, modelling, orchestration, and automation. Build and maintain high‐quality ETL pipelines using modern tooling and cloud‐native infrastructure. Develop robust data models and frameworks … similar). Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery. Infrastructure‐as‐code experience (Terraform or Pulumi). Strong data modelling capability (dimensional modelling, Data Vault, etc.). Background in software engineering or backend development is highly desirable. Experience in high‐growth or smaller ...

skills including performance tuning Experience with Python or PySpark for data transformations Practical experience building ETL or ELT pipelines Solid understanding of data modelling approaches such as dimensional modelling and medallion architecture Experience working with data governance, RBAC, and GDPR within a UK environment Familiarity with ...

regulatory reporting processes. This role requires a strong understanding of insurance data structures, market-specific standards, and advanced data architecture principles. Key Responsibilities Data Modelling & Architecture Design and maintain conceptual, logical, and physical data models for insurance systems. Ensure alignment with Lloyd's market standards, including Core Data Record … rules. Ensure compliance with Lloyd's market regulations, GDPR, and Solvency II requirements. Required Skills & Experience Technical Expertise 10+ years of experience in data modelling within the Lloyd's of London or London Market insurance sector. Proficiency in ER modelling, relational and dimensional modelling, and data ...

quality technical documentation About You You will have extensive experience designing and delivering modern data platforms, with: Strong expertise in data warehouses, data lakes, dimensional modelling, and both batch and streaming data processing A solid understanding of data strategy and management, including data governance, data quality, security ...

quality technical documentation About You You will have extensive experience designing and delivering modern data platforms, with: Strong expertise in data warehouses, data lakes, dimensional modelling, and both batch and streaming data processing A solid understanding of data strategy and management, including data governance, data quality, security ...

Server, SSIS, SSAS, SSRS) Hands-on experience building and maintaining data pipelines and integrations (ETL/ELT) Solid understanding of data warehousing concepts, dimensional modelling, and data normalisation Experience with data manipulation languages such as T-SQL and DAX Experience working in an Agile environment (ideally Kanban) Strong ...

strategies. Experience integrating data via APIs and services. Clear communication skills and experience working in Agile delivery teams. Nice to Have: Data warehousing and dimensional modelling (e.g. dbt). Basic Power BI knowledge. Relevant Microsoft or Azure certifications. Reasonable Adjustments: Respect and equality are core values to us. ...

Server, SSIS, SSAS, SSRS) Hands-on experience building and maintaining data pipelines and integrations (ETL/ELT) Solid understanding of data warehousing concepts, dimensional modelling, and data normalisation Experience with data manipulation languages such as T-SQL and DAX Experience working in an Agile environment (ideally Kanban) Strong ...

data infrastructure, and ensure the team delivers high[1]quality, impactful solutions. You’ll work across the full data lifecycle from ingestion and modelling to orchestration, monitoring, and analytics enablement, while also mentoring engineers and shaping engineering best practices. As a lead, you’ll partner with our leadership team … start-up environment. Strong expertise in Python and SQL, with deep experience in orchestration frameworks (Dagster, Airflow, Prefect). Advanced knowledge of data modelling and architecture (Kimball dimensional modelling, Data Vault etc). Hands-on experience with dbt, modern data warehouses, and AWS. Demonstrated ability to mentor ...

Google Cloud Platform (GCP) Experience with orchestration tools (e.g., Apache Airflow) Experience with version control (e.g., Git) Solid understanding of data warehousing concepts and dimensional modeling To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group ...

quality, and availability across core data assets. Data Platforms, Governance & Maturity Develop and maintain enterprise data models, including master data management (MDM) and core dimensional models. Establish and embed data governance frameworks covering data quality, security, access, and regulatory compliance. Support the introduction of data standards, cataloguing, and best ...

using Snowflake Optimise workflows and integrations using Openflow Develop and maintain ETL and ELT pipelines from Salesforce, relational databases, files, and NoSQL sources Implement dimensional modelling to support data warehousing and BI reporting Build and optimise data pipelines across Azure and AWS Ensure data quality, governance, and security ...

into meaningful insights and recommendations What you'll bring Experience of building a data warehouse using an ETL/ELT tool Star schema/dimensional modelling. Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of developing using ...

into meaningful insights and recommendations What you'll bring Experience of building a data warehouse using an ETL/ELT tool Star schema/dimensional modelling. Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of developing using ...

operational reporting. Key Responsibilities: Build, maintain and optimise scalable, secure and well-governed data pipelines. Develop and maintain data models (Data Vault and Dimensional). Ensure data quality, lineage, governance and security standards are embedded in all pipelines. Troubleshoot and resolve data pipeline issues, performing root cause analysis … distributed environments (DBT, Snowflake, SQL Server Stack; experience with Kafka, MySQL, Azure or AWS is a plus). Strong expertise in Data Vault and Dimensional modelling is essential. Experience embedding data governance, quality, monitoring and alerting into pipelines. Knowledge of Agile delivery and CI/CD principles. Excellent ...

such as SQL Server, SSIS, SSRS and SSAS, ensuring that legacy systems and modern cloud components work together effectively. You will define data models, dimensional structures and integration patterns that support operational reporting, dashboards and analytical workloads. You will work closely with business teams to understand data requirements, translate … well systems integrate and how effectively the organisation makes decisions. What you'll need to succeed You bring strong experience in data architecture, data modelling and BI engineering within a medium or large organisation. You have hands-on expertise with SQL Server technologies including SSIS, SSRS and SSAS ...

tools such as SSIS and Azure Data Factory, and cleansing and manipulating datasets via SQL. , You will also be adept at designing and implementing dimensional models including star schemas, and implementing Slowly Changing Dimensions (SCD Type 1 or 2) to support accurate historical reporting and analytics. You should have ...

business goals Design logical and physical data models optimised for reporting, analytics, and self-service BI Establish and govern architectural patterns (e.g. medallion architecture, dimensional modelling, data vault) Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layers Technology Leadership Evaluate and recommend … cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern, performant, and future-proof Data Modelling & Governance Define standard business entities, metrics, and KPIs for consistent reporting Review and approve complex data models created by BI Engineers Design and embed ...

business goals Design logical and physical data models optimised for reporting, analytics, and self-service BI Establish and govern architectural patterns (e.g. medallion architecture, dimensional modelling, data vault) Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layers Technology Leadership Evaluate and recommend … cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern, performant, and future-proof Data Modelling & Governance Define standard business entities, metrics, and KPIs for consistent reporting Review and approve complex data models created by BI Engineers Design and embed ...

. Technical Expertise: Strong expertise in Microsoft Data Platform technologies, including: SQL Server SSIS SSAS SSRS Solid understanding of data warehousing concepts, data normalisation, dimensional modelling, and associated best practices. Hands-on experience with data pipelines and integrations (ETL/ELT). Proficiency in data manipulation languages such ...

. Technical Expertise: Strong expertise in Microsoft Data Platform technologies, including: SQL Server SSIS SSAS SSRS Solid understanding of data warehousing concepts, data normalisation, dimensional modelling, and associated best practices. Hands-on experience with data pipelines and integrations (ETL/ELT). Proficiency in data manipulation languages such ...