Data Engineer

  • PLACE OF WORK
  • 4024 Debrecen, Barna utca 23
  • AREA OF EMPLOYMENT
  • IT
  • START OF WORK
  • as soon as possible
  • EMPLOYMENT TYPE
  • Full-time

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

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

Online application:

Please use our online application and attach your resume.

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