7 Dimensional Modelling Jobs with Hybrid or WFH Options

technical stakeholders as well as facilitate discussions within a multidisciplinary team About you Strong experience in modern data platform architecture (Data Warehouses, Data Lakes, Dimensional Modelling, Streaming vs Batching, etc) Knowledge and understanding of key data strategy pillars across people, processes and technology Knowledge and understanding of Data more »

newer ones like SSIS and stored procedures Exceptional experience developing codes, testing for quality assurance, administering RDBMS, and monitoring of database High proficiency in dimensional modelling techniques and their applications Strong analytical, consultative, and communication skills; as well as the ability to make good judgement and work with … both technical and business personnel Working knowledge of SAS and R code used in data processing and modelling tasks Remarkable experience with Microsoft Azure platform (Databricks, AzureDevOps, Data Factory) Proficiency in SQL, Python, Spark (with either Python, Scala or Java) Good cross-cultural, interpersonal and communication skills to interact more »

meet strict reporting deadlines. Excellent organisational and time management skills. Technical skills include data manipulation, validation, cleaning, row-level security, relational database management, and dimensional modelling. Soft skills encompass stakeholder management, problem-solving, communication, logical reasoning, inquisitive nature, dataflows, data pipelines, data validation, and attention to detail. Desirable Skills more »

migrate data to new target replacement systems. Contribute to the CBC Azure Data Platform/Lakehouse projects, by designing and implementing data warehouses and dimensional models. Develop ETL data pipelines using Azure Data ETL tools such as Data Factory and Databricks. An understanding of legacy SSIS packages will be … Essential experience in Python/PySpark and T-SQL scripting, Azure Data Factory, Databricks, and Synapse Analytics, designing and implementing Data warehouses and associated dimensional models Proficient in reporting and analytics tools, such as PowerBI A strong background in developing ETL data pipelines with Azure Data ETL tools is more »

AML, Screening and Cyber) Strong experience with SQL Experience with Python Experience with Looker or a similar visualisation tool Experience with data architecture and dimensional modelling Strong communication skills Experience supporting and working with cross-functional teams in a dynamic environment Interview process Interviewing is a two way more »

ensure quality issues are addressed as needed. Create and maintain technical documentation, including data pipeline specifications, data models, and transformation logic Contribute to data modelling and schema design standards and related documentation. Qualifications & Requirements Degree in Computer Science, Data Engineering, or a related field or equivalent experience Strong experience … Proficiency in Azure Data Factory and DBT, with a demonstrated ability to build scalable and reliable data pipelines and transformation processes. Familiarity with data modelling concepts and techniques, including dimensional modelling. Strong problem-solving and analytical skills, with the ability to analyse complex data-related issues and provide more »

databases to achieve data accuracy. Designing and implementing data models as a blueprint for organising and integrating data from multiple sources. Ensuring the data modelling standards and best practices are consistent across the business. Establishing data governance policies and procedures to maintain data quality. Working on data transformation projects … business. Assessing the data landscape to identify potential opportunities for optimisation. Experience & Skills Required 5+ years of experience as a Data Modeller Experience with Dimensional Modelling. Strong experience using Snowflake Experience with Informatica, DBT or Power BI Background working in Insurance would be desirable Background in engineering would be more »