Data Engineer-Enterprise Data Product
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Salary
≈ $33k – $84k per year (Estimated)
Location
In office (Budapest)
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Jun 25, 2026. ALDI Hungary scores A on the Alion truth index.
Overview
Company
Impact
Profile match
ALDI Hungary is the Hungarian discount supermarket business of the German ALDI SÜD group, based in Biatorbágy near Budapest, which runs a nationwide network of ALDI grocery stores and publishes weekly offers online. Its Hungarian operation also hosts technology, data and business services teams in Budapest, Pécs and Debrecen that work for the wider ALDI SÜD group, often in English and German. Its careers board lists DevOps and IT team leaders, full stack and SAP developers, data and applied AI engineers, IT service desk analysts and business services coordinators.
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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