Data Quality Developer
Employer · ALDI International IT Services (Hungary)
Database administrator
Software developerSoftware testerFull-timePécs
ALDI International IT Services (Hungary) is looking for a Data Quality programmer to implement data quality checks, build monitors, and collaborate with data engineers and analytics teams in Pécs.
Tasks
- 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 while validating agreed tolerances
- Build and maintain Validation Monitors to identify bad individual rows and enforce business logic
- 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
- 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
Conditions & benefits
A constantly growing organization and increasing opportunitiesSecure, long-term job opportunityVaried and engaging job responsibilitiesOutstanding salaryFlexible work arrangementsHome office possibility
Requirements
- 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