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Cloud Engineer

Cloud Engineer • On-site • Full-time • Hungary Pécs, Hungary

My responsibilities:

  • Designing, developing, optimising, and maintaining the cloud infrastructure of our Azure data platform based on business and connectivity requirements while ensuring scalability and cost efficiency according to ETL and data lake principles
  • Implementing security best practices and compliance standards (e.g. GDPR) to protect cloud-based assets and data
  • Implementing monitoring and alerting systems to proactively identify and resolve performance issues
  • Resolving technical issues to support our business objectives
  • Working within an agile team to create technical features that empower our Data Engineers, Data Scientists & Machine Learning Engineers
  • Providing guidance and mentoring data and analytics professionals within your team regarding data and/or infra standards and best practices
  • Evaluating and recommending new tools and technologies for analytical data engineering and data science
  • Staying up to date with advancements in Microsoft Azure, Databricks, and related topics

The knowledge I own:

  • Background in computer science or equivalent experience
  • Experience in cloud computing services and data engineering, particularly in data analytics
  • Strong knowledge of infrastructure as code (IaC) tools and scripting languages (e.g. Terraform, PowerShell)
  • Strong understanding of modern cloud networking concepts, especially within Azure environments
  • Solid knowledge and understanding of networks, especially applicable in root cause analysis of connectivity issues between clouds and on-prem systems
  • Proficiency in SQL and in at least one programming language, ideally including Python
  • Experience in database development and data modelling, ideally with Databricks/Spark and SQL Server DB, as well as knowledge of relational, NoSQL, and cloud database technologies
  • Conceptual knowledge of data and analytics concepts, e.g. dimensional modelling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data
  • Strong problem-solving and troubleshooting skills
  • Excellent communication skills and business fluency in English; German language skills are an asset but not required

The offer that would convince me:

  • Possibility to improve yourself in a constantly growing organization

  • An above-average salary

  • Intensive individual and practical training varied and interesting tasks

  • Pleasant working environments

  • A secure, long-term employment opportunity

Online application:

Please use our online application and attach your resume.

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