Data Engineer (Databricks, PySpark, SQL)
Budapest Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at ALDI. Budapest.
Pay not stated Data Engineer salary
RoleData Engineering
SeniorityMid-level
LocationBudapest
PostedSep 6, 2026 · 6w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain squad data pipelines and architectures using ETL and data lake principles
- Prepare pipeline and architecture materials so the platform team can reuse them across squads
- Create data products that help analysts, data scientists and ML engineers work more productively
- Resolve difficult data engineering problems tied to business goals and advise colleagues on standards
- Help assess new engineering tools and improve team practices, training and processes
What you bring
- A computer science degree or a related qualification
- At least ten years in software or infrastructure development, including four years in data engineering
- Strong SQL and data analysis skills, plus proficiency in Python, Scala or another programming language
- Practical Azure data-platform experience, including Databricks, Data Factory or other listed tools
- Fluent English and a solid grounding in distributed computing, data modeling and ETL
Who this fits
This role suits an experienced data engineer who can build for distributed data environments and guide colleagues on standards. The job is full-time and based at the stated Budapest address.
From the employer
- PLACE OF WORK
- 1112 Budapest, Boldizsár utca 2.
- AREA OF EMPLOYMENT
- IT
- START OF WORK
- as soon as possible
- EMPLOYMENT TYPE
- Full-time
My responsibilities:
- Design, develop, optimize, and maintain squad-specific data architectures and pipelines in line with ETL and data lake principles
- Prepare, align, and hand over data architecture and pipeline artefacts to the platform team for reuse across squads
- Solve complex technical data challenges that support business objectives
- Develop data products for analytics, data scientists, and ML engineers to improve productivity within the team and across the organization
- Advise, mentor, and support data and analytics professionals on data standards and best practices within the squad and organization
- Contribute to the evaluation of emerging tools in data engineering and data science, helping to define and improve standards and ways of working
- Drive continuous improvement by contributing to training, capability development, and enhancements in analytical data engineering practices, standards, and processes
The knowledge I own:
- Degree in Computer Science or related field
- 10+ years of experience in software or infrastructure development, including at least 4 years in data engineering within distributed computing, big data, or advanced analytics environments
- Strong expertise in SQL and data analysis, with proficiency in at least one programming language such as Python or Scala
- Experience in database development and data modeling, ideally with Databricks/Spark and SQL Server; knowledge of relational, NoSQL, and cloud-based databases.
- Solid understanding of distributed computing concepts, preferably with Spark or MapReduce
- Hands-on experience with Azure tools such as Azure Data Factory, Azure Databricks, Event Hub, Synapse, and ML services
- Good understanding of data and analytics concepts, including dimensional modeling, ETL, data warehousing, reporting, data governance, and handling structured and unstructured data
- Familiarity with Unix systems, especially shell scripting
- Basic knowledge of network concepts, connectivity, and troubleshooting
- Foundational understanding of machine learning, data science, AI, statistics, or applied mathematics
- Strong communication skills and fluent English; German is a plus
Tech Stack
- Azure Databricks
- Azure Data Factory
- Python
- PySpark
- ServiceNow
- M365
- and other tools depending on the role.
The offer that would convince me:
- We develop and maintain our own product with high emphasis on quality and long-term stability
- Code quality matters: we follow Clean Code and SOLID principles backed by robust testing
- Flexible working hours and remote work options
- Competitive salary with regular adjustments based on inflation and loyalty
- Access to continuous learning via our internal learning platform and expert communities
Online application:
Please use our online application and attach your resume.
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