Responsibilities
- Develop, maintain, and optimize data pipelines, integrations, and APIs.
- Work within the Azure cloud environment, leveraging services such as Azure Data Factory, Databricks, Functions, Storage, and related tools.
- Implement and support ETL/ELT workflows, data lake architectures, and real-time or near real-time data processes.
- Collaborate with cross-functional teams to define requirements and deliver pragmatic, scalable solutions.
- Troubleshoot and resolve data-related issues in a fast-paced environment.
Requirements
- Strong proficiency in Python and hands-on experience working in Azure.
- Solid understanding of data engineering concepts, including ETL/ELT, orchestration, data lakes, and streaming/real-time processing.
- Experience with APIs, integration patterns, and cloud-native data services.
- Ability to work independently, take ownership, and deliver results under tight timelines.
Nice to Have
- Background working with large-scale enterprise or industrial environments is a plus.
Work Arrangement
Remote (Country) — Sweden
Additional Information
- 1-year consulting assignment
