Data Engineer
Cypher Consulting Europe S.L.
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇸🇪 Sweden
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AzureCloudETLPython
About the role
- 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.
- Background working with large-scale enterprise or industrial environments is a plus.
- Ability to work independently, take ownership, and deliver results under tight timelines.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonETLELTdata engineeringdata lake architecturereal-time processingAPIsintegration patternscloud-native data servicesorchestration
Soft skills
collaborationproblem-solvingindependenceownershiptime management