AutoStore is an automated storage and retrieval system (ASRS) that uses the power of warehouse robots for 24/7 order fulfillment within a cubic layout. Backed by SoftBank VF.
About the role
Build and maintain Silver and Gold-layer data products for the Commercial domain in Databricks, turning enterprise data into reliable, reusable models, metrics, and datasets for reporting and analytics. Work closely with Commercial stakeholders to understand business needs and translate them into clear data definitions, KPIs, and scalable analytical solutions.
What they're looking for
- 7+ years of experience across Analytics Engineering, Data Engineering, Business Intelligence , or related areas, with hands-on technical experience
- Solid experience designing and building enterprise analytical data models , Silver/Gold data layers, and reusable datasets that support business reporting and analytics
- Advanced SQL skills , including complex transformations, data modelling, query optimisation, and troubleshooting across different data sources and layers
- Experience with dimensional and semantic modelling and modern cloud data platforms such as Databricks, Snowflake, BigQuery , or Microsoft Fabric
- Experience translating business requirements into scalable data solutions , working directly with business stakeholders and closely with Data Engineering, BI, and Analytics teams
- Experience with PySpark , dbt , Python, data governance/cataloguing, or CI/CD is an advantage . Experience working with commercial data such as CRM, sales, marketing, or customer data is also valuable
More about this role
We are looking for a Senior Enterprise Analytics Engineer – Commercial to build and develop the data foundation behind our commercial analytics. You will work closely with Commercial teams to understand their data and reporting needs and translate them into trusted, reusable data models, metrics, and Silver and Gold data products .
Working closely with our IT Data team, which owns the data platform and source pipelines, you will take technical ownership of the Commercial data domain , including analytics architecture, data quality, documentation, and BI enablement. You will also help ensure our commercial data is structured and ready to support future AI and GenAI use cases .
Build and maintain Silver and Gold-layer data products for the Commercial domain in Databricks, turning enterprise data into reliable, reusable models, metrics, and datasets for reporting and analytics.
Work closely with Commercial stakeholders to understand business needs and translate them into clear data definitions, KPIs, and scalable analytical solutions.
Partner with the IT Data team to align Commercial data products with the enterprise data platform, architecture, pipelines, and engineering...
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