within the Azure cloud environment. Proficiency with Azure Data Factory, Synapse Analytics, Databricks, Azure SQL, and Azure Storage. Strong SQL skills and expertise in dimensional modelling (e.g., star/snowflake schemas). Familiarity with Power BI dataflows, DAX, and RLS setup. Hands-on experience with Python, PySpark, or T-SQL for data processing and automation. Understanding of CI/ More ❯
Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT More ❯
IronPython automation, document properties. Conduct detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business stakeholders to define functional parity More ❯
products. Data Engineering Consultant, key responsibilities: Work cross-functionally with non-technical stakeholders to understand data requirements Expert knowledge of SQL to query, analysis and model data Experience with Snowflake Using DBT for data transforms and modelling Data ingestion using Python Build foundations for business functions to be able to access the correct data and insights Experience working in More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Half
stakeholders to fulfil their data requirements and support their work.* Collect, process, and transform datasets from various sources, ensuring data quality and integrity.* Optimise and maintain the organisation's Snowflake infrastructure, providing performance tuning, enhancements, and regular "MOT" checks.* Develop and maintain DBT pipelines, mainly on Snowflake, to enable efficient transformation and modelling of data.* Implement efficient data … Keep abreast of industry trends and emerging technologies in data engineering and cloud infrastructure, continuously improving skills and knowledge. Profile * The Data Engineer will have proven experience working with Snowflake infrastructure, including optimisation and maintenance.* Experience with DBT for data transformation and modelling, ideally in a Snowflake environment.* Proficient in SQL and experienced in database design and administration. More ❯
of 10 years of commercial experience working in a data-centric environment with a proven track record in financial services.Understanding of data modelling principles (eg: relationships, normalisation, star/snowflake schemas) You will have experience with enterprise data modelling tools (eg: ER/Studio, Erwin). Deep knowledge of capital markets and/or investment banking products (bonds, repos More ❯
of 10 years of commercial experience working in a data-centric environment with a proven track record in financial services.Understanding of data modelling principles (eg: relationships, normalisation, star/snowflake schemas) You will have experience with enterprise data modelling tools (eg: ER/Studio, Erwin). Deep knowledge of capital markets and/or investment banking products (bonds, repos More ❯
Role/Job Title: AWS Solution Architect Work Location: London 250 Bishopsgate (Onsite) The Role As an AWS Solution Architect , you will be working closely with the technical team on development and implementation journeys that transform traditional banking infrastructure and More ❯