Data Engineer-Enterprise Data Product
Debrecen Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at ALDI. Debrecen.
Pay not stated Data Engineer salary
RoleData Engineering
SeniorityMid-level
LocationDebrecen
PostedSep 20, 2026 · 4w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Keep the global data lake reliable and fast while improving its quality and developing the environment
- Build data pipelines with Python, Spark and Databricks, then connect and process data using Azure Data Factory and Event Hub
- Use SQL and big data tools to query datasets, check quality and establish sound data management practices
- Automate operational work with shell scripts, help maintain infrastructure, and document technical processes
- Contribute to data modeling so datasets have a coherent structure
What you bring
- Strong SQL skills for querying and checking data quality, plus Python experience with pandas and numpy
- Advanced experience with Spark and Databricks, along with hands-on Azure Data Factory and Event Hub knowledge
- Basic UNIX and shell scripting familiarity, plus an understanding of network connectivity and data modeling
- A structured, analytical approach, clear communication and the ability to work in an organized way
Who this fits
This role suits a data engineer comfortable with cloud data processing, data quality and operational support. You must be able to work Monday through Friday across shifts running from 07:00 to 22:00, and take on-call duties on weeknights, weekends and public holidays. The position is based in Debrecen.
From the employer
- MUNKAVÉGZÉS HELYE
- 4024 Debrecen, Barna utca 23
- TEVÉKENYSÉGI TERÜLET
- IT
- MUNKAVÉGZÉS KEZDETE
- Megegyezés szerint
- FOGLALKOZTATÁS MÉRTÉKE
- Teljes munkaidő
My responsibilities:
- 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
The knowledge I own:
- 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)
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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