PLACE OF WORK 7622 Pécs, Bajcsy-Zsilinszky utca 33. AREA OF EMPLOYMENT IT START OF WORK as soon as possible EMPLOYMENT TYPE Full-time 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: Design, develop, optimize, and maintain squad-specific data architectures and pipelines in line with ETL and data lake principles Prepare, align, and hand over data architecture and pipeline artefacts to the platform team for reuse across squads Solve complex technical data challenges that support business objectives Develop data products for analytics, data scientists, and ML engineers to improve productivity within the team and across the organization Advise, mentor, and support data and analytics professionals on data standards and best practices within the squad and organization Contribute to the evaluation of emerging tools in data engineering and data science, helping to define and improve standards and ways of working Drive continuous improvement by contributing to training, capability development, and enhancements in analytical data engineering practices, standards, and processes The knowledge I own: Degree in Computer Science or related field 10+ years of experience in software or infrastructure development, including at least 4 years in data engineering within distributed computing, big data, or advanced analytics environments Strong expertise in SQL and data analysis, with proficiency in at least one programming language such as Python or Scala Experience in database development and data modeling, ideally with Databricks/Spark and SQL Server; knowledge of relational, NoSQL, and cloud-based databases Solid understanding of distributed computing concepts, preferably with Spark or MapReduce Hands-on experience with Azure tools such as Azure Data Factory, Azure Databricks, Event Hub, Synapse, and ML services Good understanding of data and analytics concepts, including dimensional modeling, ETL, data warehousing, reporting, data governance, and handling structured and unstructured data Familiarity with Unix systems, especially shell scripting Basic knowledge of network concepts, connectivity, and troubleshooting Foundational understanding of machine learning, data science, AI, statistics, or applied mathematics Strong communication skills and fluent English; German is a plus Tech Stack Azure Databricks Azure Data Factory Python PySpark ServiceNow M365 and other tools depending on the role Degree in Computer Science or related field 10+ years of experience in software or infrastructure development, including at least 4 years in data engineering within distributed computing, big data, or advanced analytics environments Strong expertise in SQL and data analysis, with proficiency in at least one programming language such as Python or Scala Experience in database development and data modeling, ideally with Databricks/Spark and SQL Server; knowledge of relational, NoSQL, and cloud-based databases Solid understanding of distributed computing concepts, preferably with Spark or MapReduce Hands-on experience with Azure tools such as Azure Data Factory, Azure Databricks, Event Hub, Synapse, and ML services Good understanding of data and analytics concepts, including dimensional modeling, ETL, data warehousing, reporting, data governance, and handling structured and unstructured data Familiarity with Unix systems, especially shell scripting Basic knowledge of network concepts, connectivity, and troubleshooting Foundational understanding of machine learning, data science, AI, statistics, or applied mathematics Strong communication skills and fluent English; German is a plus Tech Stack Azure Databricks Azure Data Factory Python PySpark ServiceNow M365 and other tools depending on the role The offer that would convince me: We develop and maintain our own product with high emphasis on quality and long-term stability Code quality matters: we follow Clean Code and SOLID principles backed by robust testing Flexible working hours and remote work options Competitive salary with regular adjustments based on inflation and loyalty Access to continuous learning via our internal learning platform and expert communities Apply online Please use our online application and attach your resume. AIIS Adatkezelési tájékoztató Privacy notice