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Data Engineer

Stockholm, Sweden💼 Full-time🗓 2026-06-30 → 2026-09-26

Core

Designing and building scalable, cloud-native data platforms on Azure to power analytics, reporting, and AI for a retail cooperative.

Role type

Senior Data Engineer (Azure & Databricks)

Builds

Enterprise-grade data pipelines, data lakehouse architectures, and real-time streaming solutions for a retail cooperative.

Domain

Retail / Grocery / Cloud Data Engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Azure Data Factory, Azure Databricks, PySpark, Delta Lake, Medallion Architecture, Apache Kafka, Azure Event Hub, Service Bus, Python, SQL, Terraform, CI/CD pipelines, Data Governance

Preferred skills

Experience with retail or logistics data environments, machine learning workloads, distributed data processing architectures

Technologies

Azure, Databricks, Kafka, Terraform, Azure DevOps, PySpark, Delta Lake

Responsibilities

Design and implement scalable batch and real-time data pipelines; Build and maintain robust data ingestion frameworks; Develop and manage Medallion Architecture within the enterprise Data Lake; Implement streaming solutions; Develop transformation frameworks; Enable CI/CD pipelines and automate deployments; Drive platform optimization; Ensure adherence to data governance and security standards

Seniority

Senior, hands-on IC

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