Senior Enterprise Analytics Engineer – Commercial

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 .

Job Responsibilities:

- 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 standards.

- Own   data quality, documentation, lineage, and governance   for key Commercial datasets and metrics, ensuring consistent definitions and trusted reporting across the business.

- Investigate   data and BI issues across source systems, transformation layers, and reporting , replacing recurring manual fixes with sustainable data-model or transformation improvements.

- Help   establish   analytics engineering standards and AI-ready data foundations , improving modelling, testing, documentation, and reuse while supporting future advanced analytics and GenAI use cases.

Requirements:

- 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 .

We Offer

- A Collaborative & Inclusive Culture where we celebrate and value everyone's contributions, encouraging diverse perspectives in decision-making.

- Work-Life Balance & Well-being : We offer health insurance, and a generous pension plan, prioritizing your mental and physical well-being.

- A Creative and Safe Workplace by joining a company experiencing rapid growth, with the stability of being Norway's first unicorn listed on the Oslo Stock Exchange.

- International and Supportive Environment within a Norwegian multinational that values collaboration and innovation with a structured onboarding plan and career opportunities within the company

This role can be based at our office in Berlin , Germany, or at one of our offices in Norway —   Oslo (Lysaker), Stavanger, or   Vindafjord   ( Nedre   Vats).

Application deadline:   October 4th . Please note that   we review applications continuously   -   if this opportunity excites you, we encourage you to   apply as early as possible ! All inquiries are treated confidentially.

AutoStore   does not accept agency resumes or   assistance   for this role. Please do not   forward   resumes to our job's alias or   AutoStore   employees.   AutoStore   is not responsible for any fees related to unsolicited resumes. This policy should be respected.