Data Engineer
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Job Description
Data Engineer building Python and Azure data pipelines, integrations, and APIs. Delivering scalable ETL/ELT and real-time data solutions for enterprise consulting clients.
Responsibilities:
- Develop, maintain, and optimize data pipelines, integrations, and APIs
- Work within the Azure cloud environment, leveraging 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
- 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
- Background working with large-scale enterprise or industrial environments is a plus
- Ability to work independently, take ownership, and deliver results under tight timelines
- Based in Sweden
Benefits:
- 1-year consulting assignment
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