Analytics Engineer

Stack

Details

Kostenlos, nach der Anmeldung.

Bewerben

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Beschreibung

emagine is looking for an Analytics Engineer. Start: ASAP Duration: 7 months with possibility of extension Location: Stockholm (3 days per week on-site) We are looking for an AI Data Foundations Engineer to join a highly skilled data and analytics team. In this role, you will be responsible for building trusted, scalable, and reusable data products that support analytics, machine learning, and AI-driven solutions across the business. The role combines analytics engineering, data engineering, and AI enablement. You will work closely with stakeholders across data, product, and engineering teams to transform structured and unstructured data into reliable, analytics-ready and AI-ready assets. The focus is on creating strong data foundations that enable better decision-making, self-service analytics, and future AI initiatives. Key Responsibilities Build a strong understanding of business processes and data domains to support stakeholders with trusted and governed data access. Identify, analyze, and prepare data from multiple sources for analytics and AI use cases. Design and develop scalable data models, data products, and data flows that support reporting, analytics, machine learning, semantic search, copilots, and AI-powered applications. Build and maintain automated pipelines that transform raw data into high-quality, enriched, and reliable datasets. Establish and maintain reusable metrics, semantic models, metadata, lineage, and data quality frameworks. Drive improvements in t

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