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Salary
≈ $19k – $47k per year (Estimated)
Location
In office (Budapest)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 10, 2026.

Overview
Company
Impact
Profile match
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.
  • 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:

  • Act as the first point of contact for data consumers and capture, qualify, and frame incoming data requests
  • Clarify the business problem, target outcome, decision context, and expected value together with stakeholders
  • Identify the required data, source systems, fields, granularity, constraints, and relevant source-system contacts
  • Define scope, transformations, acceptance criteria, and handover artefacts for each request
  • Translate requirements into development-ready user stories and support backlog refinement with agile delivery teams
  • Configure the SAP Data Product Generator to define custom data products in SAP BDC
  • Provide value, urgency, dependencies, and business context to support prioritisation and delivery planning
  • Keep internal customers informed about status, trade-offs, and next steps throughout the request lifecycle

The knowledge I own:

  • 2-4 years of experience in business analysis, data analysis, or requirements engineering in a large organisation
  • Ability to structure ambiguous business problems and translate them into clear, development-ready data needs
  • Strong requirements-engineering skills, including user stories, acceptance criteria, and delivery-ready specifications
  • Good data literacy, including data models, source fields, joins, granularity, and SQL-based analysis
  • Practical experience working in agile teams and supporting a smooth handover from discovery into delivery
  • Excellent communication skills and the ability to translate effectively between business and technical audiences

The offer that would convince me:

  • Possibility to improve yourself in a constantly growing organization
  • An above-average salary
  • Intensive individual and practical training varied and interesting tasks
  • Pleasant working environments
  • A secure, long-term employment opportunity

Location:

Hybrid

Start date:

Immediately

Online application:

Please use our online application and attach your resume.

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