7 дней назад
Senior Enterprise Analytics Engineer – Commercial
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Enterprise Analytics Engineer – Commercial (Databricks/SQL): Building trusted Silver and Gold data products, reusable analytical models, and commercial metrics for enterprise reporting and analytics with an accent on data quality, governance, and semantic modelling. Focus on translating stakeholder requirements into scalable solutions, troubleshooting data and BI issues across source systems and reporting layers, and preparing commercial data foundations for future AI and GenAI use cases.
Location: Office-based in Berlin, Germany, or in Oslo (Lysaker), Stavanger, or Vindafjord (Nedre Vats), Norway
Company
is a rapidly growing Norwegian multinational and Norway's first unicorn listed on the Oslo Stock Exchange.
What you will do
- Build and maintain Silver- and Gold-layer commercial data products in Databricks.
- Translate Commercial stakeholders' needs into data definitions, KPIs, reusable metrics, and scalable analytical solutions.
- Own analytics architecture, data quality, documentation, lineage, and governance for key commercial datasets.
- Align commercial data products with the IT Data team's platform, source pipelines, architecture, and engineering standards.
- Investigate data and BI issues across source systems, transformation layers, and reporting, replacing manual fixes with sustainable improvements.
- Establish analytics engineering standards and AI-ready data foundations for advanced analytics and GenAI use cases.
Requirements
- 7+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, or related areas, with hands-on technical expertise.
- Experience designing enterprise analytical data models, Silver/Gold data layers, and reusable reporting datasets.
- Advanced SQL skills covering complex transformations, data modelling, query optimisation, and troubleshooting.
- 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 and collaborating with Commercial, Data Engineering, BI, and Analytics teams.
- Experience with PySpark, dbt, Python, data governance/cataloguing, CI/CD, or commercial data is advantageous.
Culture & Benefits
- Collaborative and inclusive culture that values diverse perspectives and contributions.
- Health insurance and a generous pension plan.
- Creative and safe workplace in a rapidly growing company.
- Structured onboarding, career opportunities, and an international environment within a Norwegian multinational.
Hiring process
- Applications are reviewed continuously.
- Application deadline: October 4th.
- Inquiries are treated confidentially.
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