Senior Data Engineer

Summary

Join Deutsche Telekom IT Solutions, a leading ICT employer in Hungary, as a Senior Data Engineer. This role blends technical expertise with business acumen, requiring collaboration with stakeholders to develop and maintain data engineering solutions. You will leverage your skills in Synapse, Python, and SQL, while designing and optimizing data models using Data Vault 2.0 methodologies. The ideal candidate possesses strong analytical abilities and experience with agile development environments. This position offers the opportunity to work within a dynamic team and contribute to high-impact data solutions. Remote work is possible within Hungary.

Requirements

• Proficiency in SQL
• Strong experience in Data Modeling
• Hands-on experience with Synapse
• Excellent programming skills in Python
• Experience with Spark
• Proficiency in Data Vault 2.0
• Experience with Git
• Familiarity with SCRUM and agile methodologies
• Experience with JIRA and Confluence
• Effective communication skills for collaborating with business stakeholders (non-IT)
• Strong analytical abilities to apply business logic in data solutions
• Ability to navigate and work within a complex data landscape

Responsibilities

• Develop and maintain data engineering solutions using Synapse, Python, and SQL
• Design and optimize data models, utilizing Data Vault 2.0 methodologies
• Collaborate with business stakeholders to understand and apply business logic, even in non-technical environments
• Participate actively in an agile development environment, utilizing tools like Git, JIRA, and Confluence
• Manage, analyze, and map complex data landscapes to ensure efficient data processing and management

Preferred Qualifications

• Proficiency in C# or .NET stack
• Experience with mapping technologies (e.g., Google Maps, MapTiler)
• Experience with the following technologies: - MS Azure, Azure DevOps, Azure Functions, Kubernetes, Talend, ElasticSearch, RabbitMQ

Benefits

Remote working possibility within Hungary