About this role
<div id="profile" class="profile"> <div class="profile_list"> <ul class="profile_section"> <li id="profile_heading1" class="profile_item profile_heading">MUNKAVÉGZÉS HELYE</li> <li id="profile_field1" class="profile_item profile_content">7622 Pécs, Bajcsy-Zsilinszky utca 33.</li> </ul> <ul class="profile_section"> <li id="profile_heading2" class="profile_item profile_heading">TEVÉKENYSÉGI TERÜLET</li> <li id="profile_field2" class="profile_item profile_content">IT</li> </ul> <ul class="profile_section"> <li id="profile_heading3" class="profile_item profile_heading">MUNKAVÉGZÉS KEZDETE</li> <li id="profile_field3" class="profile_item profile_content">Megegyezés szerint</li> </ul> <ul class="profile_section"> <li id="profile_heading4" class="profile_item profile_heading">FOGLALKOZTATÁS MÉRTÉKE</li> <li id="profile_field4" class="profile_item profile_content">Teljes munkaidő</li> </ul> <ul class="profile_section"> <li id="profile_heading5" class="profile_item profile_heading"></li> <li id="profile_field5" class="profile_item profile_content"></li> </ul> </div> </div> <div id="additional_fields" style="display:none"> <div id="start_date">megállapodás szerint</div> </div> <style type="text/css"> .profile_item { list-style-type: none !important; } .profile_heading { font-weight: bold; } .profile_content { padding-bottom: 0.5rem; } .profile_section:has(.profile_item:empty) { display: none; } </style><div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>My responsibilities:</b></H2> </div><div><ul type="disc"> <li>Implement data quality checks across multiple data domains, including master data, transactional data, data in transit, reconciliation, and analytical/reporting data</li> <li>Build and maintain Table Monitors to detect pipeline delays/breakages and data health issues per table/view, including: freshness, volume expectations, and schema changes</li> <li>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</li> <li>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)</li> <li>Build and maintain Query Performance Monitors to detect inefficient/problematic queries that increase compute costs or risk timeouts and downstream data quality incidents</li> <li>Integrate data quality monitoring into the data pipeline / data product lifecycle (setup, deployment, and ongoing operational maintenance)</li> <li>Collaborate with data engineers and analytics teams to investigate data quality incidents, perform root-cause analysis, and implement preventive fixes</li> <li>Document implemented checks/monitors, including intended meaning, owners, and guidance on how to interpret alerts</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>The knowledge I own:</b></H2> </div><div><ul type="disc"> <li>Good knowledge of data management, data quality, and data architecture</li> <li>Practical experience implementing data quality rules/checks and operating quality monitoring solutions for structured data</li> <li>Strong skills in SQL and Python</li> <li>Understanding of data quality dimensions (completeness, correctness/accuracy, consistency, uniqueness, validity, timeliness) and how to translate them into measurable checks</li> <li>Familiarity with data-in-transit monitoring and reconciliation patterns across systems</li> <li>Strong collaboration and communication skills to work with multiple stakeholders (data engineering, data product, analytics/reporting)</li> <li>Background in data engineering environments (advantage): data lake/warehouse, pipeline orchestration, and CI/CD for data/pipeline changes</li> <li>Experience with data quality tooling/platforms (advantage), e.g., Syniti or Monte Carlo</li> <li>Experience with SAP and/or integration architecture (advantage)</li> <li>Good command of English (upper-intermediate level or higher)</li> <li>Ability to work in an agile environment</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>The offer that would convince me:</b></H2> </div><div><ul> <li>A constantly growing organization and increasing opportunities</li> <li>Secure, long-term job opportunity</li> <li>Varied and engaging job responsibilities</li> <li>Outstanding salary</li> <li>Flexible work arrangements</li> <li>Home office possibility </li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Online application:</b></H2> </div><div><p>Please use our online application and attach your resume.</p> <p><a title="https://karrier.aldi.hu/fileadmin/user_upload/hu/karrier_oldal/allasok_szakteruletenkent/aiis/aiis_allasra_jelentkezok_adatkezelesi_tajekoztato_2807931_3_.pdf" href="https://karrier.aldi.hu/fileadmin/user_upload/HU/Karrier_oldal/Allasok_szakteruletenkent/AIIS/AIIS_Allasra_jelentkezok_adatkezelesi_tajekoztato_2807931_3_.pdf" target="_blank" rel="noreferrer noopener">AIIS Adatkezelési tájékoztató</a></p> <p><a title="https://karrier.aldi.hu/fileadmin/user_upload/hu/karrier_oldal/allasok_szakteruletenkent/aiis/aiis_allasra_jelentkezok_adatkezelesi_tajekoztato_2807931_3__eng.pdf" href="https://karrier.aldi.hu/fileadmin/user_upload/HU/Karrier_oldal/Allasok_szakteruletenkent/AIIS/AIIS_Allasra_jelentkezok_adatkezelesi_tajekoztato_2807931_3__eng.pdf" target="_blank" rel="noreferrer noopener">Privacy notice</a></p></div></div></div>