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## Responsibilities
- Design and implement scalable batch and real-time data pipelines using Azure-native technologies.
- Build and maintain robust data ingestion frameworks from multiple source systems, APIs and event streams.
- Develop and manage Medallion Architecture (Bronze, Silver, Gold) within the enterprise Data Lake.
- Implement streaming solutions with Kafka, Event Hub and Service Bus for event-driven processing.
- Develop transformation frameworks using Databricks, PySpark and Delta Lake.
- Collaborate with business stakeholders, data analysts and data scientists to deliver trusted, high-quality data products.
- Enable CI/CD pipelines and automate deployments using Azure DevOps best practices.
- Drive platform optimization focused on performance, scalability, reliability and cost efficiency.
- Ensure adherence to data governance, security, monitoring and operational excellence standards.
## Requirements
- Have strong hands-on experience with the Azure data platform – Azure Data Factory, Azure Databricks, Data Lake Storage Gen2 (ADLS), Azure Functions, Event Hub and Service Bus.
- Are highly skilled in Databricks and the Lakehouse – PySpark, Spark SQL, Delta Lake, Databricks Workflows, Unity Catalog and performance tuning, applying Medallion and Lakehouse architecture in practice.
- Are strong in data architecture and modelling – Lakehouse and Medallion design, ETL/ELT frameworks, and data quality & validation frameworks.
- Have experience with streaming and integration – Apache Kafka, event-driven architecture, Service Bus, batch ingestion / Autoloader and REST APIs.
- Are a confident programmer in Python, PySpark and SQL.
- Work the DevOps way – Azure DevOps, CI/CD pipeline development and Infrastructure as Code (Terraform preferred).
- Are comfortable with monitoring and operations – Log Analytics, Application Insights, and performance tuning & troubleshooting.
## Nice to Have
- Have 5+ years of experience in data engineering.
- Have built enterprise-scale Azure data platforms hands-on.
- Have worked with retail, logistics or large-scale operational data environments.
- Have supported machine learning and advanced analytics workloads.
- Have a strong understanding of distributed data processing and streaming architectures.
## Benefits
- Join a culture defined by humility, initiative and strong values, where we take joint responsibility and genuinely want to help each other succeed.
- Modern work environment with great transport links, a fantastic staff restaurant, and the option of hybrid work in agreement with your manager.
- Work for our 4.2 million members, making us by far the largest cooperation in Sweden.
- Focus heavily on sustainability and work to create a greener and more just future by offering sustainable products and services.
- Believe that a diversity of perspectives and experiences is key to creating a more inclusive and successful workplace.
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