{"id":1195682,"url":"https://alion.io/job/hofer-data-quality-developer","title":"Data Quality Developer","company":{"id":1045017,"name":"Hofer KG","domain":"hofer.at","url":"https://alion.io/company/hofer-2","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Debrecen, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":91000,"period":"year","method":null,"sample_n":2817},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-29T02:00:00Z","employer_posted_date":"2026-08-29","last_verified_at":"2026-09-24T23:54:08Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"MUNKAVÉGZÉS HELYE\n4024 Debrecen, Barna utca 23\nTEVÉKENYSÉGI TERÜLET\nIT\nMUNKAVÉGZÉS KEZDETE\nMegegyezés szerint\nFOGLALKOZTATÁS MÉRTÉKE\nTeljes munkaidő\n\nmegállapodás szerint\n\nMy responsibilities:\nImplement data quality checks across multiple data domains, including master data, transactional data, data in transit, reconciliation, and analytical/reporting data\nBuild and maintain Table Monitors to detect pipeline delays/breakages and data health issues per table/view, including: freshness, volume expectations, and schema changes\nBuild 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\nBuild 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)\nBuild and maintain Query Performance Monitors to detect inefficient/problematic queries that increase compute costs or risk timeouts and downstream data quality incidents\nIntegrate data quality monitoring into the data pipeline / data product lifecycle (setup, deployment, and ongoing operational maintenance)\nCollaborate with data engineers and analytics teams to investigate data quality incidents, perform root-cause analysis, and implement preventive fixes\nDocument implemented checks/monitors, including intended meaning, owners, and guidance on how to interpret alerts\nThe knowledge I own:\nGood knowledge of data management, data quality, and data architecture\nPractical experience implementing data quality rules/checks and operating quality monitoring solutions for structured data\nStrong skills in SQL and Python\nUnderstanding of data quality dimensions (completeness, correctness/accuracy, consistency, uniqueness, validity, timeliness) and how to translate them into measurable checks\nFamiliarity with data-in-transit monitoring and reconciliation patterns across systems\nStrong collaboration and communication skills to work with multiple stakeholders (data engineering, data product, analytics/reporting)\nBackground in data engineering environments (advantage): data lake/warehouse, pipeline orchestration, and CI/CD for data/pipeline changes\nExperience with data quality tooling/platforms (advantage), e.g., Syniti or Monte Carlo\nExperience with SAP and/or integration architecture (advantage)\nThe offer that would convince me:\nA constantly growing organization and increasing opportunities\nSecure, long-term job opportunity\nVaried and engaging job responsibilities\nOutstanding salary\nFlexible work arrangements\nHome office possibility \nOnline application:\nPlease use our online application and attach your resume.\nAIIS Adatkezelési tájékoztató\nPrivacy notice","description_format":"text","description_chars":2813,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Home office"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-24T18:41:01Z"}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.558,"p_room":0.55,"age_days":26,"expected_fill_days":20,"reasons":["conf:0","win:tail","comp:brand"],"computed_at":"2026-09-25T00:20:48Z"},"pay":null,"html_url":"https://alion.io/job/hofer-data-quality-developer","json_url":"https://alion.io/job/hofer-data-quality-developer.json","meta":{"generated_at":"2026-09-25T00:20:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":337,"day_limit":5000,"remaining_today":4663,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}