76 to 100 of 154 Dimensional Modelling Jobs

SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service: Create intuitive data models and … and collaboration. You should bring: Technical Expertise: Proven experience coding ETL/ELT pipelines with Python, SQL, or ETL tools, and proficiency in Power BI, Tableau, or Qlik Data Modelling Skills: Strong knowledge of dimensional modelling and database principles Governance Experience: Track record of working in democratized data environments, establishing controls and guardrails Collaboration & Communication: Ability to More ❯

at NTT DATA We are seeking a highly skilled and experienced Data Architect to join our dynamic team. The ideal candidate will have a strong background in full data modelling life cycle, e.g. design, implement, and maintain complex data models that align with organisational goals and industry standards. This role requires a deep understanding of data architecture, data modelling … and data lineage documentation. Ensure data models comply with organisational policies and regulatory requirements. Optimise data products and their components for performance, scalability, and reliability. Evaluate and recommend data modelling tools and technologies. Stay updated on industry trends and emerging technologies in data architecture. Identify and resolve data inconsistencies, redundancies, and performance issues. Provide technical leadership in addressing complex … Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. 10+ years of experience in data architecture and modelling. Proven experience in data modelling, data architecture, and data products design. Proven experience and expertise in data modelling standards, techniques (e.g. dimensional model, 3NF, Vault 2.0) Familiarity with both analytical and real More ❯

or Data-Warehouse projects, across technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure More ❯

or Data-Warehouse projects, across technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure More ❯

or Data-Warehouse projects, across technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure More ❯

or Data-Warehouse projects, across technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure More ❯

Development or Data-Warehouse projects, across technologies used in the enterprise space. Software development experience using: Object-oriented (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure More ❯

at Landmarc, you'll need a strong foundation in data engineering, with proven experience as a data professional. You should have a solid background in data warehouse design particularly dimensional modelling and be confident working with data mining techniques. A deep understanding of database management systems, OLAP, and ETL frameworks is essential, along with hands-on experience using More ❯

semi-structured data formats, including JSON, XML, Hive tables, and Parquet files Cloud platforms (e.g., Azure, AWS, GCP), including deployment, configuration, and integration of database services Data warehousing, including dimensional modelling and ETL processes Machine learning pipeline awareness Experience with data governance and metadata management What is also important to us is that you are highly motivated and More ❯

systems to support changing and evolving business intelligence use cases. Plan, design, implement, update and support data pipelines in ADF. Support the development and maintenance of the data warehouse dimensional model and development of data marts. Ensure the adoption of best practices, develop standards and new processes to optimise cost and service delivery. Provide technical knowledge and expertise on … pipelines. Previous experience in working with data cubes and migrating SSRS reports to PowerBI and tabular model is highly advantageous. Experience with business and technical requirements analysis, business process modelling/mapping and methodology development, and data mapping. General knowledge of database solutions, application services, data architecture and architecture patterns. Experience of working in a legal or professional services More ❯

with data extracts, data analysis and data validation as required The role requires: In-depth working knowledge and experience working with relational databases Background in data warehouse design (e.g. dimensional modelling) and data analysis Advanced MS SQL Server skillset (T-SQL, stored procedures, functions, dynamic SQL) Proven experience of developing complex reports using SSRS or closely equivalent tools More ❯

experience. Strong background in System Integration, Application Development, or Data-Warehouse projects across enterprise technologies. Experience with Object-oriented languages (e.g., Python, PySpark) and frameworks. Expertise in relational and dimensional modeling, including big data technologies. Proficiency in Microsoft Azure components like Azure Data Factory, Data Lake, SQL, DataBricks, HD Insights, ML Service. Good knowledge of Python and Spark. Experience More ❯

field. 10+ years of experience in data architecture and modeling. Proven experience in data modeling, data architecture, and data product design. Proficiency in data modeling standards and techniques (e.g., dimensional model, 3NF, Vault 2.0). Experience with analytical and real-time/streaming data solutions. Hands-on experience with data modeling tools (e.g., Erwin, Lucidchart, SAP PowerDesigner). Knowledge More ❯

Python and Spark. Experience of coaching and developing your peer’s knowledge and understanding of modern data engineering principles and practices. Experience of data warehousing techniques such as Kimball dimensional modelling. Experience of line management or team leadership. Excellent communication, organizational and leadership skills. Strong problem-solving abilities and attention to detail. It would be great if you also More ❯

you if: 5+ years of experience in data engineering, ETL development, and governance Proven track record working with large-scale datasets and complex data environments Strong grasp of data modelling, architecture, and dimensional design Hands-on experience with data quality frameworks , validation, and monitoring Ability to collaborate across tech and business teams, aligning data to operational needs What … you will need: Programming skills: SQL , with Python or R as a bonus Knowledge of ETL design , dimensional modelling , and data architecture Experience with data integration from multiple sources (e.g., Oracle ) Problem-solving mindset and a pragmatic approach to data challenges Familiarity with data privacy and security best practices What You will Get from Us: Competitive salary and More ❯

central Data Platform, working closely with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Essential Skills for the Data Analyst: Proven Data Analyst experience of at … least 5 years, within a Financial Services environment, with particular emphasis on Risk or cross asset derivatives areas. Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data structures. Data quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally More ❯

business applications. Building/optimising data pipelines and integrations across cloud platforms. Strong hands-on SQL development skills including: MS SQL Server, T-SQL, indexing, stored procedures, relational/dimensional modelling, data dashboards. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers More ❯

developing + maintaining SQL Server database solutions that power core business applications. Strong hands-on SQL Server database development skills including: complex stored procedures T-SQL, indexing, relational/dimensional modelling, data dashboards. Building/optimising data pipelines and integrations across cloud platforms. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. More ❯

Integration Services (SSIS) including development of full DW ETL Solutions MS Analysis Services (SSAS) for complex cube reporting solutions MS Reporting Services (SSRS) including development of complex reports Kimball Dimensional Modelling Methodology Experience of the following systems would also be advantageous: Team Foundation Server MDS Benefits Competitive Benchmarked Salary 25 days holiday Discretionary bonus scheme Employee assistance programme More ❯

methodologies e.g. Agile, Waterfall Skilled in business requirements analysis with ability to translate business information into technical specifications Skills Required (desirable): Knowledge of streaming services – Flink, Kafka Knowledge of Dimensional Modelling Knowledge of No Sql dbs (dynamo db, Cassandra) Knowledge of node based architecture, graph databases and languages – Neptune, Neo4j, Gremlin, Cypher Experience 5+ years of experience with More ❯

SQL environments Work with business and technical teams to gather and document data requirements Design, implement, update, and support data pipelines in Azure Data Factory (ADF) Maintain data warehouse dimensional model and develop data marts Develop standards and processes to optimize cost and service delivery Provide ongoing support, debug issues, and perform root cause analysis Enforce data management governance More ❯

SQL environments Work with business and technical teams to gather and document data requirements Design, implement, update, and support data pipelines in Azure Data Factory (ADF) Maintain data warehouse dimensional model and develop data marts Develop standards and processes to optimize cost and service delivery Provide ongoing support, debug issues, and perform root cause analysis Enforce data management governance More ❯

events, pulling on-chain data and using tools like Dune and Nansen. Experience handling large-scale datasets and optimizing for cost, reliability, and performance Understanding of data modeling, including dimensional modeling and schema design Experience with cloud platforms like AWS, GCP, or Azure, including S3, Lambda, or Cloud Functions Strong collaboration skills with product, engineering, and business teams Detail More ❯

the partner, estimate the necessary resources, coordinate and follow up until delivery to the end user. Based on functional analyses, you translate partners needs into efficient technical solutions, through modelling and structuring the data. You draw up test scenarios and use them to carry out the necessary tests on the data warehouse. You also coordinate the user acceptance tests … addition, you have at least 3 years experience in a similar position. You have knowledge of requirements analysis, agile working, user experience, ETL, SQL, data models and flows and dimensional modelling (Kimball). Knowledge of Data Vault Modelling is a plus. Customer-oriented - You easily capture needs from partners and have good diplomatic skills. Analytical - You quickly More ❯

well documented and thoroughly tested Collaborating with analytics and data scientists to understand their needs and build models that drive insights and decision making Champion best practices for data modelling, transformation, and governance, in your immediate time and across the business Consult on our evolving data platform, advising on the tooling, infrastructure and practices needed to enable best-in … SQL skills, with experience writing efficient and well structured queries Hands on experience with DBT, building and maintaining modular, scalable data models that follow best practices Strong understanding of dimensional modelling Familiarity with AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift More ❯