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Nacka, Sweden💼 Full-time🗓 2026-09-22 → 2026-09-26

Core

Build and scale the data foundation enabling modern AI products and analytics across global industrial operations.

Role type

Senior Data Engineer (AI/ML infrastructure)

Builds

Scalable data pipelines, feature stores, and modern data platforms (Databricks, cloud) for AI-driven products.

Domain

Industrial mining and infrastructure / Cloud Data Engineering / AI/ML

Deliverable

production ML models

Required skills

Python, SQL, cloud-based data platforms (Azure, Databricks), data pipeline orchestration, scalable data architecture, ML workflow enablement

Preferred skills

None stated

Technologies

Azure, Databricks

Responsibilities

Design and optimize large-scale cloud data pipelines; ensure data quality and reliability for AI use cases; collaborate with data scientists to enable feature pipelines; develop scalable architectures for end-to-end AI products; support the full data lifecycle from ingestion to serving; translate business needs into scalable data solutions.

Seniority

Mid–Senior level, hands-on IC

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