develop enterprise-level Power BI datasets, ensuring scalability, optimal performance, and alignment with business needs. Design and implement efficient data models using Kimball-style starschema principles to transform raw data into analysis-ready insights. Optimize Power BI models, including DAX calculations, Power Query (M), and report performance … or energy projects. Excellent problem-solving abilities with a track record of delivering actionable insights to senior leadership. Experience with Kimball-style dimensional modelling (StarSchema) and data warehousing best practices. Proficiency in SQL and performance tuning in environments such as SQL Server and Power BI. Experience in More ❯
Key Knowledge and Skills: ETL/ELT & Data Warehousing: Detailed knowledge of methodologies and best practices, including big data, cloud technology, and unstructured data. Schema Design: Proficiency in starschema structure & design and understanding of Kimball & Inmon hybrid data warehouse design. Cloud Data Products: Experience with Data More ❯
with the rest of the days from home. Key Skills * Hands-on experience working with Teradata and other Datawarehouses. * Deep expertise in Teradata architecture, starschema, snowflake schema, SQL optimization, and Data Modelling. * Experience in implementation of Teradata utilities (BTEQ, Fast Load, Multiload, TPT etc.) for efficient More ❯
with the rest of the days from home. Key Skills * Hands-on experience working with Teradata and other Datawarehouses. * Deep expertise in Teradata architecture, starschema, snowflake schema, SQL optimization, and Data Modelling. * Experience in implementation of Teradata utilities (BTEQ, Fast Load, Multiload, TPT etc.) for efficient More ❯
the rest of the days from home. Key Skills Hands-on experience working with Teradata and other Data warehouses. Deep expertise in Teradata architecture, starschema, snowflake schema, SQL optimization, and Data Modelling. Experience in implementation of Teradata utilities (BTEQ, Fast Load, Multiload, TPT etc.) for efficient More ❯
and maintain conceptual, logical, and physical data models that support both operational and analytical systems. Define and enforce best practices in data modelling (e.g., starschema, snowflake, graph, relational and non-relational structures). Lead the integration of structured and unstructured data across multiple sources, ensuring consistency, integrity More ❯
scale, complex datasets using traditional or map reduce batch mechanism. Good data modeling skills with knowledge of various industry standards such as dimensional modeling, star schemas etc. Proficient in writing performant SQL working with large data volumes. Experience designing and operating very large Data Warehouses. Experience with scripting for More ❯
established Data & Analytics work experience. Sound understanding/experience of Python, Databricks, PySpark, Spark SQL and best practices. Established SQL Skills required. Expertise in StarSchema data modelling. Expertise in the design, creation, and management of large datasets/data models. Experience working on building/optimizing logical More ❯
with accurate end-user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Starschema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within More ❯
Strong Python skills • Experience with version control for data models (e.g., dbt testing frameworks, data documentation) • Demonstrated experience with data modelling concepts (dimensional modelling, star schemas) • Experience writing efficient and optimised SQL for large-scale data transformations • Understanding of data warehouse design principles and best practices • Proactive approach to More ❯
Python skills. Experience with version control for data models (e.g., dbt testing frameworks, data documentation). Demonstrated experience with data modelling concepts (dimensional modelling, star schemas). Experience writing efficient and optimised SQL for large-scale data transformations. Understanding of data warehouse design principles and best practices. Proactive approach More ❯
professional certifications (desirable). KNOWLEDGE SQL (essential). Power BI (essential). DAX/MQuery. Snowflake experience (desirable). Stakeholder management skills. Data modelling. Star schema. EXPERIENCE Insurance or Finance background (desirable). Demonstrated experience with data management and reporting tools (e.g., SQL, Power BI, Tableau). Excellent problem More ❯
Experience with Terraform Experience with version control for data models (e.g., dbt testing frameworks, data documentation) Demonstrated experience with data modelling concepts (dimensional modelling, star schemas) Experience writing efficient and optimised SQL for large-scale data transformations Understanding of data warehouse design principles and best practices Proactive approach to More ❯
and analyze large scale structured data and validate by profiling in a data environment. Understand data structures and data model (dimensional & relational) concepts like Starschema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyze, validate, normalize, and cleanse data. Understand and More ❯
to analyse data; Experience with Microsoft databases and analytical tools, including Fabric or Synapse Analytics; Experience in data modelling (creation of E-R Diagrams, star schemas) and use of a modelling tool e.g. Erwin; Knowledge of data cataloguing tools e.g. Purview; What sets us apart? Global Impact: With offices More ❯
leveraged, and how we need to adapt what we do to take advantage of them. Strong SQL skills including Dynamic Tables, JSON Flattening and StarSchema architecture. Proficient with data movement tools and techniques, ensuring efficient data integration and transformation across systems. Hands-on experience with Snowflake. They More ❯
