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Data Engineer (Databricks, PySpark, SQL)

ALDI Magyarország Pécs, Transdanubia, Hungary

Retail · 5,001-10,000 employees

Jun 11
Remote data-engineer Principal (10+ yrs) Full-time Hungary
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About the role

Design, develop, and maintain squad-specific data architectures and pipelines while supporting business objectives through complex technical solutions. You will also mentor team members, define data standards, and contribute to the evaluation of emerging data engineering tools.

What they look for

Databricks PySpark SQL Python Scala Azure Data Factory Azure Synapse Data Modeling ETL Data Warehousing Distributed Computing Data Governance Machine Learning Shell Scripting Clean Code SOLID Principles

Requirements

Requires a degree in Computer Science and over 10 years of experience in software or infrastructure development, with at least 4 years specifically in data engineering. Strong expertise in SQL, Python or Scala, and Azure cloud tools is essential for this role.

Benefits

Flexible working hours Remote work options Competitive salary Continuous learning Expert communities

Full description

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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