Senior Engineer, Data Engineering

Location: Hybrid – London - 2 days per week increasing in the New Year Day Rate - Inside around £500/day Starting ASAP for 6 months - likely to extend We’re partnering with a financial client that’s undertaking a large-scale data transformation, modernising legacy systems and building a unified analytics platform in the cloud. As part of this initiative, you’ll play a key role in developing and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. Design, develop and maintain data pipelines and models using Snowflake, dbt and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements, translate them into technical solutions and deliver robust, scalable data products. Implement CI/CD, automated testing and performance monitoring for data solutions. Troubleshoot and resolve performance or data quality issues across the Snowflake and BI stack. Expertise in data modelling, query optimisation and Snowflake-specific features (virtual warehouses, time travel, etc.). ~ Hands-on experience with dbt (Data Build Tool) for data transformations. ~ Proficient in SQL and Python for data manipulation and automation. ~ Knowledge of Azure Data Factory or similar orchestration tools. ~