Data Engineer- EDLAP

Employer · ALDI International IT Services (Hungary)

Software developerDatabase administratorSystems analyst2 shiftsFlexibleWeekendFull-time

Pécs

We are looking for a Data Engineer to maintain, develop, and optimize the global datalake environment, ensuring high data quality, reliability, and overall performance at ALDI International IT Services (Hungary) in Pécs.

Tasks

  • Maintain, develop, and optimize the global datalake environment, ensuring high data quality, reliability, and overall performance
  • Design and implement high-performance data processing pipelines and workflows utilizing Python, Spark, and Databricks
  • Manage scalable and efficient data integration and processing solutions using Azure Data Factory, Databricks, and Event Hub
  • Establish robust data management processes and execute advanced data querying and quality control with SQL and big data technologies
  • Automate operational tasks and support infrastructure maintenance by leveraging shell scripting and foundational UNIX knowledge
  • Support data modeling initiatives for coherent structure design and document all technical processes to ensure operational continuity

Conditions & benefits

A constantly growing organization and increasing opportunitiesSecure, long-term job opportunityVaried and engaging job responsibilitiesOutstanding salaryFlexible work arrangementsHome office possibility

Requirements

  • Strong background and understanding of database data management (general SQL knowledge, data querying, data quality control)
  • Strong programming knowledge in Python (pandas, numpy)
  • Advanced level Big Data / data lake framework (Spark, Databricks)
  • Strong cloud knowledge and handling of Azure Data Factory, Databricks, Event Hub
  • Basic familiarity with UNIX operating system, especially shell scripting
  • Basic understanding of network level problems and connectivity requirements
  • Basic Understanding data modelling principes
  • Data-centric mindset
  • Structured, analytical thinking
  • Strong communication skills
  • Well-organized
  • Can work in a multi-shift operation (Monday to Friday, 07:00 AM - 22:00 PM) + on-call (weeknights, weekends and public holidays)

Posted Nov 4, 2026 · Updated yesterday · 0 views