Data Engineer (Databricks, PySpark, SQL)

• PLACE OF WORK
• 1112 Budapest, Boldizsár utca 2.

• AREA OF EMPLOYMENT
• IT

• START OF WORK
• as soon as possible

• EMPLOYMENT TYPE
• Full-time

megállapodás szerint

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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