Data Engineer-Enterprise Data Product

Hofer KG • Python • SQL • Azure Data Factory • 5 days ago
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Salary
≈ $33k – $89k per year (Estimated)
Location
In office (Budapest)

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 20, 2026.

Overview
Company
Impact
Profile match

Hofer KG

Hofer KG is a discount grocery retail enterprise operating as the Austrian subsidiary of the ALDI SÜD Group. The company provides fresh food, everyday consumer goods, private-label products, online shopping and delivery, and supplementary consumer services including mobile telecommunications (HoT) and travel arrangements. Headquartered in Sattledt, Upper Austria, Austria, the organization operates an extensive network of retail stores and logistics hubs serving consumers across the country.
hofer.at • HQ: Sattledt, Austria
  • MUNKAVÉGZÉS HELYE
  • 1112 Budapest, Boldizsár utca 2.
  • TEVÉKENYSÉGI TERÜLET
  • IT
  • MUNKAVÉGZÉS KEZDETE
  • Megegyezés szerint
  • FOGLALKOZTATÁS MÉRTÉKE
  • Teljes munkaidő

megállapodás szerint

My responsibilities:

  • Maintain, develop, and optimize the global datalakeenvironment, 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

The knowledge I own:

  • Strongbackground and understanding of database data management (general SQL knowledge, data querying, data quality control)
  • Strongprogrammingknowledge in Python (pandas, numpy)
  • Advanced levelBig Data / data lake framework (Spark, Databricks)
  • Strong cloudknowledge and handling of Azure Data Factory, Databricks, Event Hub
  • Basicfamiliarity with UNIX operating system, especially shell scripting
  • Basicunderstanding of network level problems and connectivity requirements
  • BasicUnderstanding 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)

The offer that would convince me:

  • A constantly growing organization and increasing opportunities
  • Secure, long-term job opportunity
  • Varied and engaging job responsibilities
  • Outstanding salary
  • Flexible work arrangements
  • Home office possibility

Online application:

Please use our online application and attach your resume.

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