{"id":16779,"title":"Data Engineer","company":"A.A ARTIFICIENT LIMITED","location":"Nicosia","description":"Data Quality Engineer\nA.A. Artificient LTD is seeking a Data Quality Engineer to join our growing data and technology team, supporting large-scale data transformation, data migration, analytics, and modernization initiatives.\nIn this role, you will be responsible for assessing, validating, monitoring, and improving data quality across complex systems and business domains. You will work closely with data architects, data engineers, ETL developers, business analysts, testing teams, and business stakeholders to ensure that data is accurate, complete, consistent, reliable, and fit for purpose.\nThis is an excellent opportunity for a detail-oriented and analytical professional who enjoys working with large datasets, solving complex data issues, and helping organizations build trust in their data.\nKey Responsibilities\nWork with business and technical stakeholders to understand data requirements, business rules, process flows, quality expectations, and key data risks across relevant systems and domains.Review data sources, structures, flows, and usage patterns to understand where data is created, transformed, validated, consumed, and reported.Profile and assess datasets to identify missing values, duplicates, inconsistencies, unusual patterns, invalid values, reconciliation gaps, and other potential data quality issues.Translate business, technical, and operational requirements into practical data quality checks, validation rules, and control logic using SQL, Python, and relevant data quality tools.Validate data relationships, source-to-target mappings, transformation logic, reference data, lookup values, record counts, totals, and key attributes across source, staging, transformation, and target environments.Support data cleansing, standardization, enrichment, deduplication, and remediation activities by identifying affected records, validating correction logic, and confirming that data improvement actions have achieved the expected outcome.Monitor data pipelines and proce","salary":null,"skills":[],"url":"https://ergodotisi.com/en-CY/jobs/6972636","source":"ergodotisi","sources":[{"url":"https://ergodotisi.com/en-CY/jobs/6972636","source":"ergodotisi"}],"qualifications":[],"scaleGrade":null,"datePosted":"2026-05-05T13:10:41.000Z","deadline":"2026-06-03T16:10:41+03:00","createdAt":"2026-05-06T05:17:35.444Z","fingerprint":"9fdfe3e0a10106ae","status":"active","lastSeenAt":"2026-05-06T05:17:35.224Z"}