Senior Enterprise Analytics Engineer – Commercial

AutoStore AS; Oslo; On-site; NOK 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health insurance

Generous pension plan

Job summary

AutoStore AS is seeking a Senior Enterprise Analytics Engineer – Commercial to lead the data foundation behind our commercial analytics. You will design trusted data models, metrics, and Silver/Gold data products and work with Commercial teams and the IT Data group to align with the enterprise platform.

You will own data quality, lineage, and governance for key Commercial datasets, build scalable analytics solutions, and support BI reporting while enabling AI-ready data foundations for future

Qualifications

• 7+ years across Analytics Engineering, Data Engineering, BI or related areas.
• Strong experience designing enterprise analytical data models and data layers.
• Advanced SQL skills with complex transformations and data modelling.
• Experience with dimensional and semantic modelling on cloud platforms.
• Ability to translate business requirements into scalable data solutions.
• Experience with PySpark, dbt, Python; data governance or CI/CD is a plus.
• Experience with CRM/sales/marketing/customer data is valuable.

Responsibilities

• Build and maintain Silver and Gold-layer data products for the Commercial domain.
• Collaborate with Commercial stakeholders to define KPIs and data definitions.
• Align commercial data products with enterprise data platform and standards.
• Own data quality, lineage, and governance for key datasets and metrics.
• Investigate data and BI issues and implement sustainable improvements.
• Help establish analytics engineering standards and AI-ready data foundations.

Skills

Analytics engineering

Advanced SQL

Dimensional modeling

Semantic modeling

PySpark

dbt

Python

CI/CD

Data governance

CRM data experience

Tools

Databricks

Snowflake

BigQuery

Microsoft Fabric

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.

Benefits and Culture:

• 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.

AutoStore, founded 1996, is a warehouse robot technology company that invented and continues to pioneer cube storage automation, the densest order‑fulfillment solution in existence. Our focus is to marry software and hardware with human abilities to create the future of warehousing. We are a value driven organization, with our people being our most important asset. Lean, Bold, and Transparent manifest itself in everything we do, and are pushing borders to increase efficiency, safety and develop new products for our customers. AutoStore was born out of the great idea for storing goods like Rubik's Cube, instead of Dominos. We are now looking for talent that share our values and curiosity for new technology and development.

We focus on finding the right talent and have designed our process to reduce biases and have a good candidate experience. We believe that following a defined and structured recruitment process will ensure that we have a fair and equal process for all candidates. For that reason, we are not accepting open applications, but encourage you to set up a job alert on our recruitment page to be notified when the next opportunity arises within your field of interest.

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.