9 of 9 Contract Dimensional Modelling Jobs in England

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 ...

Hands-on experience with Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, BigQuery Transfer Service, Cloud Functions, and Cloud Run, Strong SQL, data modelling, dimensional modelling, and data warehousing expertise, Experience in migrating on-premise or Legacy data platforms to GCP, Knowledge of ETL/ ...

batch processing Desirable Skills Working knowledge of SAS (especially in ETL context) Experience in migrating SAS workloads to Informatica ETLs Familiarity with data modelling (dimensional modelling/star schema) Exposure to scheduling tools (e.g., Control-M, Autosys) Understanding of data governance and data quality frameworks Must have ...

batch processing Desirable Skills Working knowledge of SAS (especially in ETL context) Experience in migrating SAS workloads to Informatica ETLs Familiarity with data modelling (dimensional modelling/star schema) Exposure to scheduling tools (e.g., Control-M, Autosys) Understanding of data governance and data quality frameworks ...

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 ...

tools such as Apache Airflow or similar. Experience implementing CI/CD pipelines using Git, Azure DevOps, GitHub Actions, or Jenkins. Good understanding of dimensional modelling, data warehousing, and modern data architecture. Experience with data quality, lineage, metadata management, and governance. Familiarity with Agile delivery methodologies. ...

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 ...

Collaborate with operational teams to identify and surface key data for dashboards. Develop and implement data validation checks and quality control measures. Assist in modelling and structuring data in the new system for optimal visualisation. Provide technical expertise to enhance data reliability, traceability, and overall quality. Essential Skills … Experience : Strong experience with Snowflake and Data Warehousing. Proficiency in SQL and Azure Data Factory. Familiarity with data flows, dimensional modelling, and Power BI. BA background highly advantageous. Knowledge of KQL and DAX is desirable. Desirable Attributes : Experience in a regulated industry or with investment/financial data. ...

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 ...