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AI Summary
Design, develop, and maintain squad-specific data architectures and pipelines following ETL and data lake principles. Develop data products for analytics and ML engineers while mentoring other professionals on data standards.
- PLACE OF WORK
- 7622 Pécs, Bajcsy-Zsilinszky utca 33.
- 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
- 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.
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