# Senior Enterprise Analytics Engineer – Commercial at AutoStore

- Company: AutoStore
- What the company does: 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.
- Company website: https://www.autostoresystem.com/
- Type: Startups
- Level: Senior
- Location: 3 Locations
- Work setup: On-site
- Posted: 2026-09-18
- Apply by: 2026-11-02
- Apply: https://autostore.wd3.myworkdayjobs.com/en-US/autostore/job/Oslo-Norway/Senior-Enterprise-Analytics-Engineer---Commercial_JR102686
- Page: https://www.1752.vc/careers/jobs/autostore-senior-enterprise-analytics-engineer-commercial/

## 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