Senior Enterprise Analytics Engineer – Commercial

AutoStore System, Inc; Oslo; Hybrid; NOK 1,296,000 - 1,944,000; Full time

Benefits offered by this job

Health insurance

Generous pension plan

Office in Berlin or Oslo

Job summary

AutoStore System, Inc. invites a Senior Enterprise Analytics Engineer – Commercial to build the data foundation behind our commercial analytics in a fast-growing Norwegian multinational.

You will own the Commercial data domain and deliver trusted data models, metrics, and reusable data products. You will collaborate with Commercial teams and the IT Data group to align data products with our enterprise platform, ensuring data quality, governance, and readiness for future AI and GenAI use cases

Qualifications

• 7+ years of experience across Analytics Engineering, Data Engineering, BI, or related roles.
• Hands-on experience designing enterprise analytical data models, Silver/Gold data layers, and reusable datasets.
• Advanced SQL skills across multiple sources and layers.
• Experience with cloud data platforms such as Databricks, Snowflake, BigQuery, or Fabric.
• Ability to translate business requirements into scalable data solutions.
• Familiarity with PySpark, dbt, Python, data governance, or CI/CD is a plus.
• Experience with CRM, sales, or marketing data is valuable.

Responsibilities

• Build and maintain Silver and Gold-layer data products for the Commercial domain in Databricks.
• Work with Commercial stakeholders to define data definitions and KPIs.
• Partner with IT Data team to align data products with the enterprise platform and pipelines.
• Own data quality, documentation, lineage, and governance for key Commercial datasets.
• Investigate data and BI issues and implement sustainable data-model improvements.
• Help establish analytics engineering standards and AI-ready data foundations.

Skills

Analytics Engineering

Data Engineering

Business Intelligence

Advanced SQL

PySpark

dbt

Python

Data governance

CI/CD

Tools

Databricks

Snowflake

BigQuery

Microsoft Fabric

Job description

## Senior Enterprise Analytics Engineer – CommercialApply: Oslo, Norway: Nottingham, UK: Berlin, Germany: Full time: Posted Today: End Date: October 5, 2026 (16 days left to apply): JR102686We 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.