ASOS

Data engineer in indirect tax and customs

In short

Senior Data Engineer role at ASOS building scalable data pipelines and reusable data models for Indirect Tax & Customs, connecting ERP, e-commerce, logistics, customs and tax datasets. The role demands expert T-SQL and Microsoft SQL Server skills, ETL/ELT experience with Databricks, Azure Data Factory and Fabric, Power BI dashboarding, and workflow automation tools like Alteryx. Hybrid position based in London, full-time, requiring at least 3 years of relevant experience.

About the Role
We're ASOS. We blend our flair for fashion with our love of cutting-edge technology, but more importantly we're interested in how we can bring the best out of you. We exist to give people the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement and channel your creativity into a platform used by millions. We're looking for a Senior Data Engineer to help us rethink how data and technology are used across Indirect Tax & Customs.
Responsibilities
•Design and build scalable data pipelines across complex transactional systems
•Develop reusable data models supporting tax, customs, finance and supply-chain outcomes
•Automate reconciliations currently dependent on manual data manipulation
•Build controls that analyse complete transaction populations and identify exceptions
•Connect ERP, e-commerce, logistics, customs and tax datasets
•Develop analytics and dashboards that identify risk and financial opportunities
•Improve data quality, lineage and auditability
•Explore opportunities to use automation, machine learning and AI to solve tax and customs challenges
•Build a trusted Indirect Tax & Customs data foundation
•Automate key reconciliations
•Introduce continuous, exception-based controls
•Reduce manual spreadsheet-driven processes
•Identify tax and customs leakage opportunities
•Improve visibility of tax risk
•Develop new automation and AI use cases
Requirements
•Expert T-SQL skills including performance tuning – Microsoft SQL Server
•ETL/ELT pipelines – Databricks, Azure Data Factory, Fabric
•Data-warehousing, dimensional modelling, and dimensional data mart design
•Building analytics and dashboards in Power BI
•APIs and integrations
•Large-scale transactional datasets
•Alteryx or similar analytics automation tools, including building governed, repeatable workflows for data ingestion, transformation, validation, reconciliation and exception reporting
•Data quality and automated testing
•Modern development and version-control practices – GitHub and Azure DevOps
Nice to Have
•Experience with Dynamics 365 for Finance & Operations (D365F&O) is highly desirable
•Experience with VAT, customs or tax technology would be useful, but it isn't essential
Conditions
No conditions specified in the posting.

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