18 of 18 Contract Dimensional Modelling Jobs

secure, scalable and production-ready. You'll be responsible for developing robust data pipelines, integrating data from multiple internal and third-party systems, modelling data for reporting and analytics, and ensuring high levels of data quality, governance and performance. You'll collaborate closely with architects, BI teams, application teams … large-scale enterprise data migration programme Develop scalable ETL/ELT processes and data ingestion frameworks Design data models using Medallion Architecture and dimensional modelling techniques Integrate data from multiple internal and external systems Deliver curated datasets to support Power BI reporting and analytics Optimise Spark jobs ...

processes, partitioning, governance and performance optimisation. Responsibilities: Designing and developing enterprise-grade Power BI reports, dashboards and scorecards. * Building and maintaining semantic models using dimensional modelling best practices. * Developing advanced DAX calculations, calculation groups and optimisation techniques. * Implementing Incremental Refresh and semantic model partitioning strategies. * Managing large-scale … Power BI assets. Skills & Experience: Essential * Expert Power BI Desktop and Power BI Service experience. * Extensive experience developing enterprise semantic models. * Advanced DAX, semantic modelling and performance tuning skills. * Strong understanding of VertiPaq, composite models, aggregations and query optimisation. * Hands-on experience implementing Incremental Refresh and dataset partitioning. * Experience ...

data platforms Experience designing scalable data pipelines for machine learning workloads Experience implementing orchestration tools such as Apache Airflow or equivalent. Knowledge of data modelling, dimensional modelling and data warehousing principles. Whether you're developing new products, building scalable platforms or unlocking insights from data ...

preferably Databricks Experience designing scalable data pipelines for machine learning workloads Experience implementing orchestration tools such as Apache Airflow or equivalent. Knowledge of data modelling, dimensional modelling and data warehousing principles Whether you're developing new products, building scalable platforms or unlocking insights from data ...

requirement for a Data Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise … environments Proven hands-on expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow ...

Strong understanding of ETL processes and data validation techniques. - Experience with Azure Data Factory, including understanding pipelines, datasets, and data flows. - Knowledge of data modelling and dimensional modelling concepts. - Solid SQL skills, including writing and analysing complex queries. - Experience using Azure DevOps for test and defect management. ...

retesting, and reporting. Perform back-end data testing, analysing large datasets to identify data quality issues, inconsistencies, and root causes. Validate data models and dimensional models, ensuring data structures, relationships, and business rules are correctly implemented. Use SQL to interrogate databases, read schemas and tables, reconcile data, and verify … skills with the ability to write queries, interrogate databases, read schemas and tables, and perform data reconciliation and validation. Solid understanding of data modelling and dimensional modelling, including testing data relationships, facts, dimensions, and business rules. ISTQB Data Testing certification (or equivalent) and recent, demonstrable experience working ...

retesting, and reporting. Perform back-end data testing, analysing large datasets to identify data quality issues, inconsistencies, and root causes. Validate data models and dimensional models, ensuring data structures, relationships, and business rules are correctly implemented. Use SQL to interrogate databases, read schemas and tables, reconcile data, and verify … skills with the ability to write queries, interrogate databases, read schemas and tables, and perform data reconciliation and validation. Solid understanding of data modelling and dimensional modelling, including testing data relationships, facts, dimensions, and business rules. ISTQB Data Testing certification (or equivalent) and recent, demonstrable experience working ...

e.g., Azure SQL, Snowflake). Experience with ETL/ELT tooling (e.g., SSIS, dbt, Azure Data Factory) and data pipeline design. Understanding of data modelling principles (normalisation, dimensional modelling/star schema for data warehousing). Experience of diagnosing and resolving database performance issues. Familiarity with database ...

English communication skills and a proven ability to thrive in a fast-paced, highly collaborative environment. Desirable (Bonus) Skills: Languages: PySQL, C#, R. Reporting & Modelling: Power BI (or similar), SQL Server SSAS Tabular (DAX), Dimensional Modelling, Data Warehousing. Ecosystem & Management: Azure DevOps, SQL MI/DB, Active ...

year Technical Skills. Expert in Data Bricks, ADF & SQL (SQL queries, SQL Server Integration Services (SSIS) (Stored Procedures Development). Expert in Data Modelling & Data Schema creation including measures, calculations, KPI's & CDE's Working knowledge of Microsoft Power BI Report Builder, PowerBI Working knowledge of tools to help …/SharePoint/One Drive Understanding of database management systems and ETL (Extract, transform, load) framework Understanding of MS Azure data lake design (e.g. dimensional modelling) and data mining Business Skills Proven abilities to take initiative and be innovative Analytical mind with a problem-solving aptitude Ability ...

Platforms: Hands-on experience with Databricks and Azure Data Lake . ETL: Proven ability to build efficient pipelines (ADF, SSIS, APIs). Desirable: PySpark, Dimensional Modelling, DAX/SSAS, or an interest in AI/ML applications. Interested in learning more? Send me a DM or comment below ...

data and mobile applications. Knowledge of Azure Data Factory. Medium to strong SQL skills (understanding and writing). Knowledge of data models and dimensional models, together with a solid reporting skill set. Previous experience of data testing, ETL and testing large volumes of data. Experience of working within ...

setting scope, budget and delivery timeframes . SQL DAX Power BI . Microsoft Fabric . Good understanding of modern data architectures. Strong understanding of Dimensional Modelling . Desirable Skills & Experience Experience working with Databricks . Experience with Azure and/or AWS . Experience with DevOps . Relevant ...

setting scope, budget and delivery timeframes . SQL DAX Power BI . Microsoft Fabric . Good understanding of modern data architectures. Strong understanding of Dimensional Modelling . Desirable Skills & Experience Experience working with Databricks . Experience with Azure and/or AWS . Experience with DevOps . Relevant ...

solution designs meet business requirements whilst aligning with architecture standards, governance frameworks and strategic objectives. The successful candidate will combine strong data architecture and modelling expertise with a broad understanding of Microsoft Azure data technologies and modern data platforms, enabling them to guide delivery teams and make informed design … ability to influence both technical and non-technical stakeholders. Proven experience designing conceptual, logical and physical data models. Strong knowledge of relational and dimensional modelling techniques. Experience undertaking data profiling and source system analysis. Experience designing enterprise data architectures and integration patterns. Ability to produce and review architecture ...

procedures, views and functions. Hands-on experience testing SSIS packages, ETL processes and data transformations. Good understanding of data warehouse architectures and methodologies, including dimensional modelling concepts. Experience validating data quality, integrity, consistency and reconciliation across multiple data sources. Experience validating Power BI dashboards, reports, KPIs and semantic ...

data team, supporting the development of modern data solutions, reporting capabilities, and analytics across a large-scale Azure data platform. The role combines data modelling, reporting, and hands-on data engineering work within a cloud-based environment. Key Responsibilities Design and develop data models, schemas, KPIs, measures, calculations … data governance, data quality, and reporting improvement initiatives. Essential Skills & Experience Strong experience with Databricks, Azure Data Factory (ADF) and SQL. Advanced Data Modelling and Data Schema Design expertise. Experience applying Medallion Architecture principles. Strong Power BI development and reporting experience. Experience creating KPIs, measures, calculations and critical data ...