Senior Data Engineer $200k Super Role Overview We're hiring a Senior Data Engineer with strong Snowflake and banking experience to support a major transformation program focused on migrating to Adobe Experience Platform and modernising data capabilities. This role is critical in building high-quality, scalable data pipelines and data products that power customer engagement, analytics, and real-time decisioning. Key Responsibilities Design and build scalable data pipelines and data marts using Snowflake Perform complex data transformation and data wrangling across multiple sources Enable high-quality data for Adobe Experience Platform (AEP) and downstream use cases Work with structured and unstructured data to support customer data platforms and marketing use cases Collaborate with architects and Adobe specialists to ensure data is optimised for activation and personalization Implement best practices in data engineering, data quality, and performance optimisation Contribute to automation, orchestration, and continuous improvement of data workflows Key Requirements Strong hands-on experience with: Snowflake SQL (advanced level) Python for data engineering Proven experience as a Senior Data Engineer in banking or financial services Strong understanding of: Data modelling and data pipelines Complex data environments (e.g. core banking, credit, mortgages, reporting) Experience working with large-scale, enterprise data platforms Highly Desirable Experience with: Adobe Experience Platform (AEP) or Adobe Analytics Java (for orchestration / comms domain exposure) Experience building data products for customer analytics or marketing use cases What They're Looking For A hands-on senior engineer who can own delivery Someone with real banking domain knowledge (not just generic data experience) A candidate who can bring best practices and thought leadership Ability to operate in a transformation environment with legacy-to-modern migration If you feel you possess the relevant skills to the above, apply now with most updated CV!