Cloud Engineer

MUNKAVÉGZÉS HELYE 7622 Pécs, Bajcsy-Zsilinszky utca 33. TEVÉKENYSÉGI TERÜLET IT MUNKAVÉGZÉS KEZDETE Megegyezés szerint FOGLALKOZTATÁS MÉRTÉKE Teljes munkaidő megállapodás szerint .profile_item { list-style-type: none !important; } .profile_heading { font-weight: bold; } .profile_content { padding-bottom: 0.5rem; } .profile_section:has(.profile_item:empty) { display: none; } 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. AIIS Adatkezelési tájékoztató Privacy notice