Data Quality Developer
Budapest Mid-level Data Architecture & Governance
At a glance
Mid-level Data Architecture & Governance role at ALDI. Budapest.
Pay not stated Data Architecture & Governance salary
RoleData Architecture & Governance
SeniorityMid-level
LocationBudapest
PostedSep 26, 2026 · 4w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Create checks for master, transactional, in-transit, reconciliation, and analytical or reporting data
- Set up table monitors for freshness, expected volumes, schema shifts, and pipeline health
- Use metric and validation monitors to flag KPI anomalies, compare systems, check tolerances, and catch invalid rows
- Monitor query performance, then investigate quality incidents with engineering and analytics teams
- Add monitoring to data product lifecycles and document each check’s purpose, owner, and alert guidance
What you bring
- You have hands-on experience applying data quality rules and operating checks for structured data
- You bring strong SQL and Python skills, with grounding in data management, quality, and architecture
- You can turn completeness, accuracy, consistency, uniqueness, validity, and timeliness into measurable checks
- You have upper-intermediate English or better and can work in an agile environment
Who this fits
This role suits someone who works effectively with data engineering, data product, and analytics or reporting teams to trace incidents and prevent recurrence. It is a full-time position in Budapest, with flexible work arrangements and a home-office option.
From the employer
- MUNKAVÉGZÉS HELYE
- 1112 Budapest, Boldizsár utca 2.
- TEVÉKENYSÉGI TERÜLET
- IT
- MUNKAVÉGZÉS KEZDETE
- Megegyezés szerint
- FOGLALKOZTATÁS MÉRTÉKE
- Teljes munkaidő
My responsibilities:
- Implement data quality checks across multiple data domains, including master data, transactional data, data in transit, reconciliation, and analytical/reporting data
- Build and maintain Table Monitors to detect pipeline delays/breakages and data health issues per table/view, including: freshness, volume expectations, and schema changes
- Build and maintain Metric Monitors to identify anomalies in key statistical/business KPIs and to run comparisons/reconciliation across systems (e.g., different instances or data warehouses) while validating agreed tolerances
- Build and maintain Validation Monitors to identify bad individual rows and enforce business logic (e.g., custom SQL validations for complex master data logic; row-level business rules)
- Build and maintain Query Performance Monitors to detect inefficient/problematic queries that increase compute costs or risk timeouts and downstream data quality incidents
- Integrate data quality monitoring into the data pipeline / data product lifecycle (setup, deployment, and ongoing operational maintenance)
- Collaborate with data engineers and analytics teams to investigate data quality incidents, perform root-cause analysis, and implement preventive fixes
- Document implemented checks/monitors, including intended meaning, owners, and guidance on how to interpret alerts
The knowledge I own:
- Good knowledge of data management, data quality, and data architecture
- Practical experience implementing data quality rules/checks and operating quality monitoring solutions for structured data
- Strong skills in SQL and Python
- Understanding of data quality dimensions (completeness, correctness/accuracy, consistency, uniqueness, validity, timeliness) and how to translate them into measurable checks
- Familiarity with data-in-transit monitoring and reconciliation patterns across systems
- Strong collaboration and communication skills to work with multiple stakeholders (data engineering, data product, analytics/reporting)
- Background in data engineering environments (advantage): data lake/warehouse, pipeline orchestration, and CI/CD for data/pipeline changes
- Experience with data quality tooling/platforms (advantage), e.g., Syniti or Monte Carlo
- Experience with SAP and/or integration architecture (advantage)
- Good command of English (upper-intermediate level or higher)
- Ability to work in an agile environment
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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