Senior Enterprise Analytics Engineer – Commercial

AutoStore™; Oslo; Hybrid; NOK 950,000 - 1,500,000; Full time

Benefits offered by this job

Health insurance

Generous pension plan

Career opportunities

Job summary

AutoStore seeks a Senior Enterprise Analytics Engineer – Commercial to build and develop the data foundation behind our commercial analytics. You will own the Commercial data domain, create trusted data models, metrics, and Silver/Gold data products, and enable BI and future GenAI use cases.

Collaborating with IT Data and Commercial teams, you will ensure data quality, documentation, and governance across datasets while driving analytics architecture and scalable solutions.

Qualifications

• 7+ years in Analytics Engineering, Data Engineering, BI, or related roles with hands-on experience.
• Experience designing enterprise analytical data models and Silver/Gold data layers.
• Advanced SQL skills across transformations and data modelling.
• Experience with cloud data platforms such as Databricks, Snowflake, BigQuery or Fabric.
• Experience translating business requirements into scalable data solutions with stakeholders.
• Experience with PySpark, dbt, Python; data governance/CI/CD is a plus.

Responsibilities

• Build and maintain Silver and Gold-layer data products for the Commercial domain in Databricks.
• Translate business needs into clear data definitions, KPIs, and scalable analytics solutions.
• Align Commercial data products with the enterprise data platform, architecture, pipelines, and standards.
• Own data quality, documentation, lineage, and governance for key Commercial datasets.
• Investigate data and BI issues across source systems and transformations to reduce manual fixes.
• Help establish analytics engineering standards and AI-ready data foundations.

Skills

Advanced SQL

Analytics engineering

Data modelling

Stakeholder collaboration

Python

CI/CD

Tools

Databricks

Snowflake

BigQuery

Microsoft Fabric

dbt

PySpark

Job description

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.

All inquiries are treated confidentially.